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Flow induced crystallization of polymers : precursors and nuclei Citation for published version (APA): Ma, Z. (2012). Flow induced crystallization of polymers : precursors and nuclei. Technische Universiteit Eindhoven. https://doi.org/10.6100/IR740176 DOI: 10.6100/IR740176 Document status and date: Published: 01/01/2012 Document Version: Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers) Please check the document version of this publication: • A submitted manuscript is the version of the article upon submission and before peer-review. There can be important differences between the submitted version and the official published version of record. People interested in the research are advised to contact the author for the final version of the publication, or visit the DOI to the publisher's website. • The final author version and the galley proof are versions of the publication after peer review. • The final published version features the final layout of the paper including the volume, issue and page numbers. Link to publication General rights Copyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright owners and it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights. • Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal. If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license above, please follow below link for the End User Agreement: www.tue.nl/taverne Take down policy If you believe that this document breaches copyright please contact us at: [email protected] providing details and we will investigate your claim. Download date: 26. Dec. 2020
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Page 1: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Flow induced crystallization of polymers : precursors andnucleiCitation for published version (APA):Ma, Z. (2012). Flow induced crystallization of polymers : precursors and nuclei. Technische UniversiteitEindhoven. https://doi.org/10.6100/IR740176

DOI:10.6100/IR740176

Document status and date:Published: 01/01/2012

Document Version:Publisher’s PDF, also known as Version of Record (includes final page, issue and volume numbers)

Please check the document version of this publication:

• A submitted manuscript is the version of the article upon submission and before peer-review. There can beimportant differences between the submitted version and the official published version of record. Peopleinterested in the research are advised to contact the author for the final version of the publication, or visit theDOI to the publisher's website.• The final author version and the galley proof are versions of the publication after peer review.• The final published version features the final layout of the paper including the volume, issue and pagenumbers.Link to publication

General rightsCopyright and moral rights for the publications made accessible in the public portal are retained by the authors and/or other copyright ownersand it is a condition of accessing publications that users recognise and abide by the legal requirements associated with these rights.

• Users may download and print one copy of any publication from the public portal for the purpose of private study or research. • You may not further distribute the material or use it for any profit-making activity or commercial gain • You may freely distribute the URL identifying the publication in the public portal.

If the publication is distributed under the terms of Article 25fa of the Dutch Copyright Act, indicated by the “Taverne” license above, pleasefollow below link for the End User Agreement:www.tue.nl/taverne

Take down policyIf you believe that this document breaches copyright please contact us at:[email protected] details and we will investigate your claim.

Download date: 26. Dec. 2020

Page 2: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Flow induced crystallization of polymers:Precursors and Nuclei

Page 3: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Flow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma.Technische Universiteit Eindhoven, 2012.

A catalogue record is available from the Eindhoven University of Technology Library.ISBN: 978-90-386-3299-5

This thesis was prepared with the LATEX2ε documentation system.Reproduction: University Press Facilities, Eindhoven, The Netherlands.Cover design: Zhe Ma and Paul Verspaget

This research forms part of the research programme of the Dutch Polymer Institute(DPI), DPI project #714.

Page 4: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Flow induced crystallization of polymers:Precursors and Nuclei

PROEFSCHRIFT

ter verkrijging van de graad van doctor aan deTechnische Universiteit Eindhoven, op gezag van derector magnificus, prof.dr.ir. C.J. van Duijn, voor een

commissie aangewezen door het College voorPromoties in het openbaar te verdedigen

op maandag 3 december 2012 om 16.00 uur

door

Zhe Ma

geboren te Hejian, Hebei, China

Page 5: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Dit proefschrift is goedgekeurd door de promotoren:

prof.dr.ir. G.W.M. Peters

en

prof.dr.ir. H.E.H. Meijer

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Contents

Summary ix

1 Introduction 11.1 Background . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11.2 Structure-properties relation . . . . . . . . . . . . . . . . . . . . . . . . . 21.3 Processing-structures relation . . . . . . . . . . . . . . . . . . . . . . . . 41.4 Scope of the thesis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 5

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 6

2 Using rheometry to determine nucleation density in a colored systemcontaining a nucleating agent 92.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 102.2 Experimental . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 11

2.2.1 Materials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 112.2.2 Rheological characterization . . . . . . . . . . . . . . . . . . . . 112.2.3 X-ray characterization . . . . . . . . . . . . . . . . . . . . . . . 12

2.3 Data analysis . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 122.4 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 14

2.4.1 Determination of the nucleation density for NA-iPP . . . . . . . 142.4.2 Reproducibility . . . . . . . . . . . . . . . . . . . . . . . . . . . 162.4.3 Effect of mild flow . . . . . . . . . . . . . . . . . . . . . . . . . 17

2.5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 20

3 Pressure quench of flow-induced crystallization precursors 233.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 243.2 Experimental . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 26

3.2.1 Materials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 263.2.2 Protocol . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 273.2.3 X-ray characterization . . . . . . . . . . . . . . . . . . . . . . . 29

3.3 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 303.3.1 Reference experiment: no pressure quench after flow . . . . . . . 303.3.2 Pressure quench after flow . . . . . . . . . . . . . . . . . . . . . 31

v

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vi Contents

3.3.3 Pressure quench after annealing . . . . . . . . . . . . . . . . . . 343.3.4 Inverse quench by depressurization . . . . . . . . . . . . . . . . 38

3.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 39

Appendices. . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 42

4 Short-term flow induced crystallization in isotactic polypropylene:how short is short? 454.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 464.2 Experimental . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 48

4.2.1 Material . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 484.2.2 Methods . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 484.2.3 Optical microscopy . . . . . . . . . . . . . . . . . . . . . . . . . 50

4.3 Results . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 504.3.1 Rheological evolution during flow . . . . . . . . . . . . . . . . . 504.3.2 Structural evolution . . . . . . . . . . . . . . . . . . . . . . . . 52

4.4 Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 564.4.1 SAXS delay time . . . . . . . . . . . . . . . . . . . . . . . . . . 574.4.2 Implications of the viscosity rise . . . . . . . . . . . . . . . . . . 594.4.3 Conditions of the viscosity rise . . . . . . . . . . . . . . . . . . . 60

4.5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 62

5 The influence of flow induced precursors and nuclei on crystallizationof isotactic polypropylene 655.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 665.2 Experimental . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 68

5.2.1 Material . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685.2.2 Flow device . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 685.2.3 X-ray characterization . . . . . . . . . . . . . . . . . . . . . . . 685.2.4 Birefringence . . . . . . . . . . . . . . . . . . . . . . . . . . . . 72

5.3 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 735.3.1 Flow-induced distinguishable nuclei/precursors . . . . . . . . . . 735.3.2 Isothermal crystallization . . . . . . . . . . . . . . . . . . . . . . 75

5.4 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 87

6 High-stress shear induced crystallization in isotactic polypropyleneand propylene/ethylene random copolymers 896.1 Introduction . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 906.2 Experimental . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 91

6.2.1 Materials . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 916.2.2 Flow device . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 926.2.3 X-ray characterization . . . . . . . . . . . . . . . . . . . . . . . 926.2.4 Optical microscopy . . . . . . . . . . . . . . . . . . . . . . . . . 93

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Contents vii

6.3 Depth sectioning method . . . . . . . . . . . . . . . . . . . . . . . . . . . 936.4 Results and Discussion . . . . . . . . . . . . . . . . . . . . . . . . . . . . 96

6.4.1 iPP homopolymer . . . . . . . . . . . . . . . . . . . . . . . . . . 966.4.2 Propylene/ethylene random copolymers . . . . . . . . . . . . . . 996.4.3 Quantification of nuclei . . . . . . . . . . . . . . . . . . . . . . . 102

6.5 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 106

7 Conclusions and recommendations 1097.1 Conclusions . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 1097.2 Recommendations . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 111

References . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . . 113

Samenvatting 115

Acknowledgements 119

Curriculum vitae 121

List of publications 123

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Page 10: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Summary

Semi-crystalline polymers cover over two thirds of commercial applications ofpolymeric materials. With most industrial processing technologies, semi-crystallinepolymers are brought in the molten state and then deformed for different reasons:i.e. to create specific properties like a high modulus with fiber spinning or to shapegeometrically complex parts as with injection molding. The deformation not onlyaccelerates the crystallization kinetics but also can cause crystalline structures to changefrom isotropic spherulites to the highly oriented cylindrical structures (e.g. shish-kebab) which determine the ultimate properties. Therefore, understanding the interplaybetween flow fields and the resulting crystalline structures is of great importance. Itenables the design of processing procedures and tailoring final product properties. Theobjective of this thesis is to reveal how a flow field affects the crystal structures bystudying the early stages of the crystallization process which are dominated by thecreation of shear-induced precursors and nuclei.

Polymer crystallization involves two steps: nucleation and growth. Nucleationprovides quantitative (more or less) and qualitative (isotropic or oriented) nuclei andthese are the templates for further crystal growth that, ultimately, will fill the full space.The nucleation step is very sensitive and is often controlled by additives (nucleatingagents) or/and imposing a flow field. The formation and features of nuclei are, therefore,the key factors that determine the crystalline structures. Probing and quantifying nucleiis the main work of this thesis.

According to the resulting morphology, nuclei can be divided into two groups: point-like nuclei and fibrillar nuclei. The former give rise to spherulites, the latter mainlyinduce oriented structures like the well-known shish-kebab; i.e. fibrils with transverselamellae. Oriented nuclei can be further classified into row nuclei and shish nuclei bywhether they can be directly observed with X-ray characterizations. In the first part ofthis thesis, the creation of point-like nuclei is studied for an isotactic polypropylene witha nucleating agent, with and without applied shear deformation. For such a system,nucleation is dramatically enhanced by both the nucleating agent (U-Phthalocyanine)and the flow. The nucleation density is that large and, therefore the crystallite sizeso small that optical microscope is not suitable to count nuclei numbers. Therefore, asuspension-based rheological model is used to quantify the nuclei density.

ix

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x Summary

In the second part, precursors of row nuclei in a bimodal Polyethylene (PE) arestudied. Since row nuclei cannot be observed directly by X-ray characterizations, thecrystallization step is triggered by increasing the pressure which raises the equilibriummelting temperature and thus the under-cooling: a so-called pressure quench. It isshown that shear-induced precursors can be generated at a temperature close to thenominal melting temperature and the unstable ones can relax.

Next, the formation of shish nuclei during flow is studied by using fast (30 frame/s),time resolved X-ray scattering in combination with rheological measurements. It isfound that a critical shear rate exists for the formation of shish nuclei within very shortflow times (0.25 s). Shish precursors are formed during flow and these were found todevelop into shish afterwards, during or after flow depending on the flow strength.

Besides the external effects, the nuclei formation is also influenced by the molecularstructure. Therefore, in the last part, the effect of the molecular architecture onshear-induced crystallization is studied for isotactic polypropylene (iPP) and twopropylene/ethylene random copolymers with varying ethylene monomer contents. Thesethree grades had very similar rheological behavior; there is only a small but importantdifference in the longest relaxation time. Flow enhanced nucleation density was foundto be the lowest for the iPP homopolymer which is due to the shorter longest relaxationtime. However the reduced growth rate due to the added ethylene monomer leadsto slower overall crystallization kinetics of the random copolymers compared to thehomopolymer at similar thermal conditions.

Page 12: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter one

Introduction

1.1 Background

Human history is closely accompanied by the progress in material development.

Advances in material are crucial for affecting people’s way of life because it can

significantly change the way of working and improve output efficiency. The consequence

of the material evolution is particularly obvious at the primary stages of civilization.

For example, the innovation of iron farming tools such as plows and sickles, made the

farming processes much faster and easier and, as a consequence, people produced enough

food to survive and also gained extra time to exploit other activities. Considering such

great importance, anthropologists even define historical epochs by the materials used

at that moment, such as the Stone, Bronze and Iron ages. To meet the continuously

increasing need of new functions, synthetic materials appeared and have been widely

applied. Among current synthetic creations, plastic is quite prominent in our society

due to its wide range of applicability. Just looking around, plastic products can be

easily found at any time and any place. They may be a coffee stirrer, mobile shell,

computer screen, bumper, greenhouse, construction and building parts, and so on.

Actually, the development of truly synthetic plastics started only around one hundred

years ago. The first completely synthetic one is poly(phenol-co-formaldehyde), a densely

cross-linked thermoset polymeric material, well known as Bakelite, commercialized in

1909 and applied for electrical appliances and phonograph records [1]. After its birth,

plastic has developed dramatically during the past century. On one hand, more and

more new plastics were synthesized and manufactured. Some major examples are:

poly(vinyl chloride) (PVC) in 1920s, polyamide (Nylon) 66 in 1930s, linear high-density

polyethylene (HDPE) and isotactic polypropylene (iPP) in 1950s, poly(p-phenylene

terephthalamide) (known as Kevlar) in 1960s. [1, 2]

1

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2 Chapter 1

1950 1960 1970 1980 1990 2000 20100

50

100

150

200

250

3002010: 265

2009: 250

2002: 204

1989: 99

1976: 47

Mtonne

year1950: 1.5

Figure 1.1: World plastics production between 1950 and 2010. Data are obtained fromreference [3]. Only continuous growth is shown and temporary fluctuation is notincluded.

On the other hand, the total amount of the plastic being used also increased

tremendously, as shown in Figure 1.1. The world plastic production has risen from

1.5 million tonnes in 1950 to 265 million tonnes in 2010, [3] equal to an averaged annual

growth rate of 9% during sixty years.

Polymers can be amorphous or semi-crystalline, depending on the degree of ordering

of the molecular arrangement. Due to crystallization, semi-crystalline polymers can

still be used as a solid material above the glass transition temperature. For example,

although the glass transition temperature of HDPE is -80◦C, [1] its high crystallinity

enables HDPE to be used as a solid-material at normal environmental temperatures.

Therefore, semi-crystalline polymers, especially polyolefins such as HDPE and iPP, have

become the most widely used polymeric materials, see Figure 1.2.

1.2 Structure-properties relation

Ultimate properties, e.g. mechanical and optical, of end-use plastic products strongly

depend on the structure of the material [4, 5]. The manufacturing history includes two

major processes: a) synthesis, starting with small molecules and b) processing, where

the final product is given its shape. Therefore, the general issue “structure” includes

two classes of defining features: the intrinsic chemical structures of the macromolecules

and the physical arrangement structure of these macromolecules.

The intrinsic chemical structure includes chemical composition (various monomers,

homo-polymer/co-polymer, etc.), chain structure (linear/branched/star/crossed, ran-

dom/block, etc.) and configuration, molecular weight, and so on. These molecular

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Chapter 1 3

Figure 1.2: European plastics demand by polymer type in 2010. [3]

properties are controlled and dominated by the polymerization process.

For amorphous polymers, considerable knowledge has been developed to understand

the relationship between the basic molecular structure and mechanical behavior. Semi-

crystalline polymers contain both amorphous and crystalline phases where an identical

polymer chain often is involved in these different phases. The crystal phase has the

hierarchic structures of conformation, crystal lattice, lamellar crystal, spherulitical or

cylindrical assembling form of lamellae, etc. These crystal micro-structures cover a

broad range of length scales from sub-nanometer up to microns. Polymer crystallization

is determined by the molecular structures and, often in a very strong way, on the

processing conditions. Therefore, when discussing structure-properties relation of semi-

crystalline polymers, specific features of the crystal microstructure like crystallinity,

lamellar thickness and orientation, should be taken into account. A typical and

illustrative example [6] is shown in Figure 1.3, where an injection molded plate of HDPE

is shown. From the optical micrographs it is observed that different structures appear

in the thickness direction. These skin and core layers are due to the varying cooling

and flow conditions as experienced by the material at different positions. Moreover,

the thickness of these layers strongly depends on the position along flow path. Finally,

for the same polymer material of HDPE, these distinct structures lead to completely

different mechanical properties between specimens cut from the same plate but at

different locations and in different directions. The failure mode varies from brittle

to tough, the latter showing necking in one case and homogeneous deformation in the

other.

Next to molecular properties, full understanding on how crystal structures are formed

during processing and how these subsequently affect the properties is a prerequisite of

tailoring the ultimate properties of plastic products. This thesis focuses on the second

step in the above knowledge chain, i.e. how polymer crystallizes under processing-

relevant conditions.

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4 Chapter 1

70 x 70 x 1 mm

injection ofpolymer

A B

C

A

B

C

Figure 1.3: Variation in microstructure over the thickness in an injection molded HDPEplate. Right column shows the resulting mechanical properties of threespecimens cut from the same plate but different positions. [6]

1.3 Processing-structures relation

Semi-crystalline polymers are often processed from the molten states and subjected

to flow to transport the material and shape the product. Flow gradients affect

crystallization by altering the amount, size and orientation of nuclei. In this way,

processing-relevant flows are able to accelerate the crystallization kinetics by several

orders of magnitude and induce anisotropic structures. According to the resulting

morphology, flow-induced nuclei can roughly be divided into two groups: point-like

nuclei and oriented fibrillar nuclei. During quiescent crystallization, only point-like

nuclei are formed. The average crystal structure is isotropic and may grow into large

spherulites because of the relatively low nuclei density, see Figure 1.4a. Depending on

the competition between flow strength and molecular mobility, there are mild and strong

flows. Mild flow forms extra point-like nuclei, i.e. increase nuclei density which results

in more but smaller spherulites, see Figure 1.4b. In contrast, strong flow completely

changes the isotropic morphology into oriented crystals. As an example highly oriented

shish-kebab structures are shown in Figure 1.4c. [7]

If the flow should effectively alter the crystallization behavior, the nuclei that are

generated should be stable. However, in many cases flow-induced ordered structures

are so-called “precursors”, instead of stable nuclei. These flow-induced precursors have

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Chapter 1 5

(a) (b) (c)

Figure 1.4: Typical morphologies of: a) less and large spherulites; b) more but smallspherulites; c) oriented shish-kebab [7].

a degree of ordering (position or/and orientation; intra- or/and inter- molecule) and

favor further development to nuclei for sufficient under-cooling, or may relax back to

amorphous melt in case of relatively high temperatures. When the unstable precursors

are inclined to disappear, the slow kinetics of precursor relaxation may cause significant

memory effect on subsequent crystallization, since cooling stabilizes and reactivates the

residual precursors. [8]

By stretching polymer chains and aligning segments parallel to each other, flow

promotes nucleation in polymer. On the other hand, foreign substances, known as

nucleating agent (NA), are added to the polymer melt and the additional surfaces

lower the surface energy change in an efficient way and decrease the critical size for

nucleation [9]. Moreover, specific nucleating agents can control the phase modification of

growing crystals. For example, β-NA is utilized to induce formation of iPP hexagonal β-

crystals [10–12]. Understanding how the amount and orientation of nuclei are controlled

by flow or/and NA is a key step in revealing processing-structure relations.

1.4 Scope of the thesis

The aim of this thesis is to gain understanding on how polymer crystallization under

processing-relevant conditions (flow and NA) takes place by exploring the creation and

evolution of precursors/nuclei. During processing, a continuous flow imposed during

solidification, may influence both nucleation and crystal growth. To separate the

influence of flow on these two aspects from rheological changes due to crystallization,

Janeschitz-Kriegl and co-workers introduced the “short-term shearing” method [13].

Flow duration is so short that structure formation and a related change in the viscosity

can be minimized. The flow-induced precursors/nuclei can be revealed by direct

observations, using state of the art experimental techniques, or by examining subsequent

crystallization. In this thesis, we use both approaches to study (probe or/and quantify)

precursors/nuclei induced by various flow strength. Moreover, the validity of “short-

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6 Chapter 1

term flow” is verified for strong shear conditions. The polymers investigated are grades

of a high density polyethylene (HDPE) and an isotactic polypropylene (iPP). They are

not only the most used polymers but also the simplest macromolecules and provide

suitable model systems for the academic research.

First of all, generation of extra point-like nuclei is studied in Chapter 2. Addition of

nucleating agents (U-Phthalocyanine) and imposition of mild flow are both utilized to

enhance formation of point-like nuclei in an iPP system. A suspension-based rheological

model [14,15] is applied to quantify nucleation density. In this way, the nucleation effects

of this nucleating agent and mild flows applied are assessed.

Oriented nuclei are investigated in Chapter 3-6. Oriented nuclei can be classified

as row nuclei and shish, according to whether such nuclei can be detected by X-ray

characterization.

Chapter 3 focuses on the precursors of the X-ray invisible row nuclei. Shear-induced

precursors cannot be observed directly by X-ray. Therefore, after increasing the under-

cooling, subsequent crystallization kinetics and orientation evolution is examined to

reflect the underlying precursors. A pressure quench method is presented, which

provides an efficient way of achieving sufficient under-cooling in a fast way for triggering

crystallization and effectively “lightens up” precursors.

In the case of very strong shear, X-ray observable shish appear during flow. In

Chapter 4, the combination of a slit flow with time resolved X-ray measurements

provides the possibility to study in-situ structure formation of iPP during flow. In this

way, shish formations during and after flow can be distinguished. Also the evolution

of the average rheological behavior is tracked. The appearance of shish structure and

the rise of the apparent viscosity identify the validity of the conditions for “short-term

flow”, i.e. how short is short depends on shear strength.

For the weakest flow conditions studied in Chapter 4, X-ray and rheology fail to detect

shear-induced structures during flow. Therefore, in Chapter 5, birefringence is employed

to probe the potential precursors in these flows. Subsequent crystallization features

such as kinetics, orientation and β-crystals are tracked in time, in order to establish a

correlation between the precursors/nuclei and their influences on crystallization.

The effect of flow strength in relation with molecular structure (defects present in the

molecular chain and high molecular tail) on crystallization is explored in Chapter 6, by

comparing the amount of oriented nuclei in an iPP and two ethylene/propylene random

copolymers with various ethylene content. A pressure-driven slit flow device [16, 17]

is employed to impose strong flows with a wall stress of up to 0.11 MPa. With this

novel device, the “depth sectioning” method [18] can be applied to extract the polymer

crystallization in certain layers and correlate that with the specific stress. In this way,

the effect of molecular structures on flow induced nucleation can be revealed.

Page 18: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 1 7

References

[1] L.H. Sperling. Introduction ot Physical Polymer Science. Wiley, fourth edition edition, 2006.

[2] D. I. Bower. An Introduction to Polymer Physics. Cambridge University Press, 2002.

[3] Plastics Europe. Plastics - the facts 2011. an analysis of european plastics production, demand

and recovery for 2010. Technical report, 2011. Http://www.plasticseurope.org.

[4] B. A. G. Schrauwen, R. P. M. Janssen, L. E. Govaert, and H. E. H. Meijer. Macromolecules

37(16):6069–6078, 2004.

[5] B. A. G. Schrauwen, L. C. A. Von Breemen, A. B. Spoelstra, L. E. Govaert, G. W. M. Peters,

and H. E. H. Meijer. Macromolecules 37(23):8618–8633, 2004.

[6] B. A. G. Schrauwen. Deformation and Failure of Semicrystalline Polymer Systems: Influence of

Micro and Molecular Structure. Ph.D. thesis, Eindhoven University of Technology, 2003.

[7] B. S. Hsiao, L. Yang, R. H. Somani, C. Avila-Orta, and L. Zhu. Physical Review Letters

94(11):117802, 2005.

[8] D. Cavallo, F. Azzurri, L. Balzano, S. S. Funari, and G. C. Alfonso. Macromolecules 43(22):9394–

9400, 2010.

[9] B. Wunderlich. Macromolecular Physics, Vol 2: Crystal Nucleation, Gorwth, Annealing.

Academic Press, New York, 1976.

[10] J. Garbarczyk and D. Paukszta. Polymer 22(4):562–564, 1981.

[11] W. Stocker, M. Schumacher, S. Graff, A. Thierry, J. C. Wittmann, and B. Lotz. Macromolecules

31(3):807–814, 1998.

[12] F. Luo, C. Geng, K. Wang, H. Deng, F. Chen, Q. Fu, and B. Na. Macromolecules 42(23):9325–

9331, 2009.

[13] S Liedauer, G Eder, H Janeschitz-Kriegl, P Jerschow, W Geymayer, and E. Ingolic. International

Polymer Processing 8:236–244, 1993.

[14] R. J. A. Steenbakkers and G. W. M. Peters. Rheologica Acta 47(5-6):643–665, 2008.

[15] J. W. Housmans, R. J. A. Steenbakkers, P. C. Roozemond, G. W. M. Peters, and H. E. H. Meijer.

Macromolecules 42(15):5728–5740, 2009.

[16] G. Kumaraswamy, R. K. Verma, and J. A. Kornfield. Review of Scientific Instruments 70(4):2097–

2104, 1999.

[17] G. Kumaraswamy, A. M. Issaian, and J. A. Kornfield. Macromolecules 32(22):7537–7547, 1999.

[18] L. Fernandez-Ballester, D. W. Thurman, and J. A. Kornfield. Journal of Rheology 53(5):1229–

1254, 2009.

Page 19: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.
Page 20: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter two

Using rheometry to determine

nucleation density in a colored

system containing a nucleating

agent

Abstract

A new suspension-based rheological method was applied to experimentally study the

crystallization of a nucleating agent (NA) filled isotactic polypropylene. This method

allows for determination of point nucleation densities where other methods fail. For

example, optical microscopy can fail because nucleation densities become too high to

be counted (materials with effective NA) or crystallites are not easily visible (colored

materials), while differential scanning calorimetry does not allow the effect of flow to be

studied. Both quiescent and mild-shear induced crystallization were investigated. The

results show that the addition of a nucleating agent increases the nucleation density by

six decades for quiescent crystallization. The effect of shear on crystallization in the

presence of a nucleating agent was assessed and it is demonstrated that, at least for

this system, the effect of applied shear is much smaller than the effect of the nucleating

agent.

This chapter is based on : Zhe Ma, Rudi J.A. Steenbakkers, Julien Giboz, Gerrit W.M. Peters.Rheologica Acta 50:909–915, 2011

9

Page 21: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

10 Chapter 2

2.1 Introduction

Semi-crystalline polymers cover over two thirds of the products used in our daily life.

Adding a nucleating agent to a semi-crystalline polymer is a common way to control

crystallization and tailor mechanical and optical properties [1–4]. The interface between

the nucleating agent and the polymer melt has a high surface energy, which reduces

the energy barrier associated with the formation of a nucleus. Introducing a large

amount of nucleating agent particles therefore greatly increases the nucleation density

and consequently accelerates crystallization [5]. In general, a higher nucleation density

leads to more desirable properties. Several methods are available to determine the

nucleation density in polymer crystallization. These include (a) microscopy to directly

count the number of nuclei in the melt, (b) differential scanning calorimetry (DSC) [6],

or (c) dilatometry [7]. The latter two indirectly measure the crystallization evolution in

order to calculate the nucleation density using a kinetics equation. However, for colored

nucleating agent systems, the nucleation density can become too large to be counted

and also can change the optical properties dramatically [4], making quantification of

the nucleation density difficult with optical microscopy (Figure 2.1).

Figure 2.1: Morphology during quiescent crystallization at T = 151 ◦C.

Flow is another crucial factor affecting polymer crystallization, especially the

nucleation step. The number of nuclei can increase dramatically [8, 9] and for a strong

enough flow the formation of shish-kebab structures will occur [10]. The combined

effect of nucleating agent and flow has hardly been studied. In this work we will restrict

ourselves to point-like nucleation which will occur for moderate flow only. How much

a flow will change the kinetics of nucleating agent crystallization depends on the type

of nucleating agent [11]. Knowledge of the individual effect of nucleating agent and

shear on nucleation density is a prerequisite for understanding the combined nucleation

mechanism and to provide input for models to predict resulting structures.

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Chapter 2 11

To achieve this goal, conventional DSC and classical dilatometry are not suited since

they do not allow one to impose a flow on the material. A new type of dilatometer,

the Pirouette [12], developed in our group [13, 14], does allow for applying shear to

the sample and thus for using the measured time dependent specific volume for our

purpose; determining the nucleation density. However, in this chapter we will use a

rheometer that first serves as flow device (with the possibility to vary the shear rate

and the shear time) and, subsequently, as a mechanical spectrometer that measures

the changing complex modulus due to the progressing crystallization process. Using an

analytical relation between space filling and the modulus, it is possible to determine

the nucleation density. This solves both problems: dealing with large numbers of nuclei

and poor visibility of crystalline structures. The aim of this study is to explain this

approach and to demonstrate its effectiveness for colored nucleating agent systems, for

both quiescent and flow-induced crystallization.

2.2 Experimental

2.2.1 Materials

The polymer used in this study is an isotactic polypropylene (iPP; HD601CF,

Borealis, previously known as HD120MO). It has a weight average molecular weight

Mw = 365 kg/mol and a polydispersity Mw/Mn = 5.4 [9]. The nominal melting

temperature is 163 ◦C. The polymer was compounded with an organic nucleating

agent, U-Phthalocyanine of molecular weight 310 kg/mol [15] at a concentration of

0.2wt%. This nucleating agent was also used by Lee Wo and Tanner [16] who found

non-spherical crystallites that we did not observe, see section 2.4. From the neat iPP

and the artificially nucleated material (NA-iPP), 1.1-mm-thick plates were injection

molded and from those plates circular disks were cut with a diameter of 8mm. The

NA-iPP samples were blue due to the coloring effect of the nucleating agent.

2.2.2 Rheological characterization

For the rheological measurements, a Rheometrics ARES rheometer with a plate-plate

geometry was used. Samples were first heated to 230 ◦C and kept on that temperature

for 10 min to erase the thermal and mechanical history. Next, the melt was cooled to

the desired temperature at a rate of 15 ◦C/min and kept at this temperature for the

isothermal crystallization. During cooling, gap adjustment was performed continuously

to compensate for the thermal shrinkage of tools and sample. Two minutes of delay

time was used to equilibrate the sample temperature before starting the dynamic

measurements. Temperatures for crystallization were chosen between 133 and 140 ◦C

Page 23: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

12 Chapter 2

for the neat iPP and between 143 and 151 ◦C for the NA-iPP. Experiments with shear

were carried out at temperatures of 148 and 151 ◦C. Steady shear at a rate of γ = 60 s−1

was imposed for shear times ts = 2, 4 and 6 s. Small-amplitude oscillatory shear

measurements were employed to track the time evolution of the storage modulus (G′)

and loss modulus (G′′) using an angular frequency of 5 rad/s and a strain of 0.5%. All

experiments were performed in a N2 atmosphere to prevent the material from degrading.

2.2.3 X-ray characterization

Polypropylene can crystallize in different phases. To check if both the neat iPP and

the NA-iPP had crystallized in the α-phase, the samples were analyzed afterwards using

X-ray scattering. Wide angle X-ray diffraction (WAXD) measurements were carried

out at the Dutch-Belgian (DUBBLE) beamline BM26B of the European Synchrotron

Radiation Facility in Grenoble, France. [17] A Photonica CCD detector with 2004×1335

pixels of 44µm× 44µm was placed at 178mm. The wavelength used was 1.033 A and

the exposure time was 10 s. WAXD data were integrated with the software FIT2D.

2.3 Data analysis

A linear viscoelastic version of the three dimensional generalized self-consistent

method of Christensen et al. [18] is used to couple the amount of space filling, caused

by point-like nucleation and spherulitic growth, to the measured dynamic (or complex)

modulus. See also the work of Christensen et al. [19,20]. This model has been validated

experimentally in our previous work [21]. If spherulites are formed, the relative dynamic

modulus f ∗

G = G∗/G∗

0 can be obtained from

A∗f ∗

G2 +B∗f ∗

G + C∗ = 0 , (2.1)

where G∗ and G∗

0 are the complex dynamic modulus of the suspension and the

amorphous phase, respectively. The complex coefficients A∗, B∗, and C∗ depend on

space filling φ, the ratio of the complex moduli of the amorphous (G∗

0) and crystalline

phase (G∗

1), and the Poisson ratios of both phases, ν0 and ν1. Notice that all moduli

are frequency and temperature dependent. Expressions for the coefficients are given in

Appendix A of Steenbakkers et al. [21]. In this case, space filling is the unknown and

is obtained by sloving Eq. (2.1) using the measured f ∗

G.

Next the space filling has to be related to the nucleation density. For a fixed number

density of nuclei N(T ), the Kolmogorov –Avrami –Evans equation [22–25] describes the

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Chapter 2 13

progress of space filling in time during isothermal crystallization at temperature T ,

φ(t, T ) = 1− exp

(

−4π

3N(T )G3(T )t3

)

(2.2)

from which the nucleation density can be obtained:

N(T ) = −3 ln (1− φ)

4πG3(T )t3(2.3)

with growth rate G(T ) depending on the temperature only. The main requirement here

is that the growth rate is independent of the nucleation density, even when this density

is influenced by a nucleating agent or by flow. Flow experiments are so-called short

term shear experiments; the flow can generate extra nuclei but the growth takes place

after the flow has stopped. The growth rate for iPP is well known [26]. Note that there

are different empirical and theoretical relations describing the temperature dependence

of the growth rate, see Eq. (2.4) [8] and Eq. (2.5) [27]:

G(T ) = Gref exp[

−cG(T − TG,ref)2]

(2.4)

G(T ) = G0 exp

[

− U∗

R (T − Tg + T∞)

]

× exp

[

−κGT2m (Tm + T )

2T 2 (Tm − T )

]

(2.5)

One could think of using other approaches than Eq. (2.1) by applying more simple

models [28–32] or empirically based scaling laws between the space filling and the storage

modulus [33–35]. However, it was demonstrated by Steenbakkers and Peters [21] that

such approaches do perform less than the suspension model as used here, and therefore,

we will not apply them to our results. Summarizing, by measuring the complex modulus

G∗(t, T, γ, ts) for different temperatures, shear rates γ, and shear times ts, we can

determine the space filling φ(t, T ) using Eq. (2.1) and the nucleation density N(T, γ, ts)

using Eq. (2.3), provided that only spherulitic growth from predetermined point-like

nuclei occurs.

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14 Chapter 2

2.4 Results and Discussion

2.4.1 Determination of the nucleation density for NA-iPP

First of all, Figure 2.1 shows that the structures formed during crystallization with

nucleating agent do not show any unusual structure as was found by Lee Wo et al. [16] for

a similar system (a commercial iPP with different concentrations of U-Phthalocyanine),

so the above method can be applied to convert the time evolution of the rheological

properties into kinetics of space filling. Figure 2.2 shows the time evolution of the

storage modulus G′ of the nucleating agent system during crystallization at different

temperatures. It should be noticed that for T = 145 ◦C the initial value of G′ is not

the same as those for the other temperatures. The method is based on the assumption

of isothermal crystallization. If the degree of undercooling is large with respect to

the cooling rate, crystallization already sets in during cooling. The problem is made

even worse due to the 2-min delay time we used in order to equilibrate the sample

temperature. This is the case for T = 145 ◦C; crystallization has already started before

we begin to track the rheological evolution (indicated by an increased initial value of

G′). Faster cooling rates are required when studying higher levels of undercooling.

Nevertheless, we still want to show this result to demonstrate the limitations of the

method.

10 100 1000 10000

104

105

151 oC148 oC147 oC145 oC

106

107

108

G' (

Pa)

time (s)

Figure 2.2: Time evolution of the storage modulus for NA-iPP samples crystallized atdifferent temperatures.

The related space filling, determined by Eq. (2.1), is shown in Figure 2.3. For the high

experimental temperature range used here, the growth rate is better captured by Eq.

(2.4) [8, 26], so this expression was applied. Figure 2.4 shows the diffraction patterns

of NA-iPP samples after quiescent crystallization and demonstrates that nucleating

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Chapter 2 15

10 100 1000 10000

0.0

0.2

0.4

0.6

0.8

1.0

151 oC 148 oC 147 oC 145 oC

spac

e fil

ling

time (s)

Figure 2.3: Time evolution of space filling derived from the dynamic modulus for NA-iPPsamples crystallized at different temperatures.

9 10 11 12 13 14 15

145 oC

147 oC

148 oC

(-131)(111)(130)(040)

Inte

nsity

(a.u

.)

2 (o)

(110)

151 oC

Figure 2.4: One-dimensional WAXD curves of NA-iPP samples crystallized at differenttemperatures.

agent crystallization results in the same α-modification as crystallization of the neat

iPP. Consequently, the same growth kinetics, Eq. (2.4), applies. The number density

of nuclei determined by Eq. (2.3) is plotted versus space filling in Figure 2.5. It is

nearly constant between φ ≈ 0.1 and φ ≈ 0.9, except for the experiment at T = 145 ◦C,

where crystallization has already set in before the dynamic measurements have started.

Much higher values are found in the early stage, but N(T ) becomes nearly constant

when φ ≈ 0.4 for all temperatures. The influence of the unknown initial space filling is

relatively smaller for higher degrees of space filling, i.e., in later stages of the process.

We have taken the average value for a space filling between φ = 0.5 and φ = 0.9 as a

reasonable approximation. Nucleation densities from all experiments are plotted as a

function of the experimental temperature in Figure 2.6. It can be concluded that this

type of nucleating agent is very effective as it increases the nucleation density by up to

Page 27: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

16 Chapter 2

0.0 0.2 0.4 0.6 0.8 1.0

151 oC148 oC147 oC

145 oC

1014

1016

1018

1020

N (m

-3)

space filling

1022

Figure 2.5: Nucleation density versus space filling for NA-iPP samples crystallized atdifferent temperatures.

130 135 140 145 150 155

1013

1015

1017

1011

NA+iPPiPP

N (m

-3)

temperature (oC)

1019

Figure 2.6: Nucleation density of iPP and NA-iPP versus temperature.

six decades. Notice that the temperature dependency of the nucleation density is very

similar for the neat iPP and the NA-iPP, and that the results for T = 145 ◦C, although

less reliable for φ < 0.4, are well in line with the results for higher temperatures.

Results for relatively low temperatures should be treated with some caution.

2.4.2 Reproducibility

First we compare the results of Housmans et al. [9], obtained with the same method

and for the same iPP, to the results presented here. For a temperature T = 138 ◦C,

they found, for quiescent conditions, a nucleation density N = 8 × 1011m−3, while we

obtain the (interpolated) value N = 6 × 1012m−3. We ascribe this difference to the

Page 28: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 2 17

sample preparation procedure. Our neat iPP and nucleated samples were processed by

injection molding, which means that the sample preparation step already induced extra

nuclei due to the applied (uncontrolled) flow. The samples used by Housmans et al. [9]

were prepared by means of compression molding.

130 135 140 145 150 155

temperature (oC)

1st Series NA+iPP1st Series iPP2nd Series NA+iPP2nd Series iPP

1011

1013

1015

1017

1019

N (m

-3)

Figure 2.7: Nucleation density of iPP and NA-iPP versus temperature for two series ofexperiments.

We repeated our experiments to check for reproducibility. The time lapse between the

two series of experiments was about 8 weeks. The results of these repeated experiments

(2nd series) are shown in Figure 2.7, together with the previous results (1st series). We

want to stress the importance of a good temperature control. An error of 1 ◦C typically

gives a factor two difference in the number of nuclei. Notice that in the second series

of experiments we managed to get good results for temperatures as low as T = 143 ◦C

while in the first series we already encountered problems at T = 145 ◦C.

2.4.3 Effect of mild flow

Figure 2.8 shows the evolution of G′ during crystallization at 148 ◦C under quiescent

conditions and after different flows (fixed shear rate and variable shear time). For a

shear rate of 60 s−1, a shear time of 2 s shows clearly accelerated kinetics. Further

increase of the shear time to 4 s does not change the kinetics much. The acceleration

of crystallization seems to become (nearly) independent of the shear time beyond 4 s,

indicating that the shear-enhanced point-like nucleation saturates. This effect was also

observed by Housmans et al. [9] for this and two other iPPs. The time evolution of

the storage modulus of the sheared nucleating agent system has the same shape as in

the quiescent nucleating agent system, meaning that the growth mechanism is the same

and only spherulites are formed. This implies that our method can still be applied

Page 29: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

18 Chapter 2

to determine space filling for crystallization after shear. Moreover, the results can be

compared to those of Housmans et al. [9].

10 100 1000 10000

024

time (s)

104

105

106

107

108

G' (

Pa)

shear time (s)6

Figure 2.8: Time evolution of the storage modulus for NA-iPP under quiescent conditionsand after short term shear (γ = 60 s−1, ts = 2, 4, 6 s) at T = 148 ◦C.

For flow-induced crystallization experiments, an adequate measure of the flow

strength is the Weissenberg number, based on the stretch relaxation time of the high

molecular weight (HMW) tail of the molecular weight distribution:

Wis(T, γ) = τHMWs (T ) γ (2.6)

Recent modeling work [36] suggests that the creation rate of point-like nucleation

precursors depends not only on the average stretch of the HMW molecules, but also

explicitly on the temperature: the prefactor of the creation rate was found to be

proportional to the time-temperature shift factor aT . Therefore we use aTWis as a

criterion to compare experiments, which scales as a2T , since τHMWs in Eq. 2.6 scales

with aT as well. From the linear viscoelastic data and the stretch relaxation time τHMWs

reported by Housmans et al. [9], we find Wis(148◦C) = 13, Wis(151

◦C) = 12, and

aT (151◦C)Wis(151

◦C)

aT (138 ◦C)Wis(138 ◦C)= 1.1 , (2.7)

where Wis(138◦C) = 8 for the strongest flow applied by Housmans et al. [9] to the same

neat iPP as used here. Hence, these two data sets are reasonably comparable in terms

of flow conditions.

The calculated nucleation densities are plotted in Figure 2.9. The saturated

nucleation density at 148 ◦C after shear is around 40× 1016m−3, six times higher than

7× 1016m−3 for quiescent crystallization, i.e., adding typically ∼ 1017m−3 nuclei. This

Page 30: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 2 19

0 2 4 6

1017

1016

1015

1018

151 oC 148 oC

N (m

-3)

shear time (s)

Figure 2.9: Nucleation density of NA-iPP under quiescent conditions and after shear atT = 148 ◦C and T = 151 ◦C (γ = 60 s−1).

130 135 140 145 150 155temperature (oC)

1st Series NA+iPP1st Series iPP1st Series shear2nd Series NA+iPP2nd Series iPP

1011

1013

1015

1017

1019

N (m

-3)

Figure 2.10: Nucleation densities of iPP and NA-iPP under quiescent and shear conditions.

elevated number is much more than what was added by imposing shear to the neat iPP

in the experiments of Housmans et al. [9]; mild flow raised the point-like nucleation

density of the neat iPP by one to two decades before the shear effect saturated, i.e.

adding typically ∼ 1013m−3 nuclei. This indicates that, in the presence of nucleating

agent, shear-induced point nucleation can be much more effective. This should be

directly related to the nucleating agent, i.e., the local amplification of flow effects due

to the presence of the nucleation particles, see for example the work of Hwang et al. [37],

and not to a change in the rheological properties, which we expect to be very small due

to the, in this respect, still very low space filling of nuclei.

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20 Chapter 2

2.5 Conclusions

A new method to determine nucleation densities, based on rheometry, was used

on quiescent and sheared samples of a neat and an artificially nucleated isotactic

polypropylene. All calculated nucleation densities are summarized in Figure 2.10. It

is quantitatively shown that U-Phthalocyanine is very effective for nucleating isotactic

polypropylene. Moreover, it was found that the effect of shear is enhanced by the

presence of the nucleating agent. This rheological method is easy to apply since it

requires a standard rheometer, available in most academic and industrial labs.

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[17] W. Bras, I. P. Dolbnya, D. Detollenaere, R. van Tol, M. Malfois, G. N. Greaves, A. J. Ryan, and

E. Heeley. Journal of Applied Crystallography 36:791–794, 2003.

[18] R. M. Christensen and K. H. Lo. J. Mech, Phys, Soild 27:315–330, 1979.

[19] R. M. Christensen and K. H. Lo. J. Mech, Phys, Soild 34:639, 1986.

[20] R. M. Christensen and K. H. Lo. J. Mech, Phys, Soild 38:379–404, 1990.

[21] R. J. A. Steenbakkers and G. W. M Peters. Rheol Acta 47:643–665, 2008.

[22] A. N. Kolmogorov. Bull. Acad. Sci. USSR, Math. Series (in Russian) 1:355–359, 1937.

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[23] M. Avrami. Journal of Chemical Physics 7:1103–1112, 1939.

[24] M. Avrami. Journal of Chemical Physics 8:212–224, 1940.

[25] U. R. Evans. Transactions of the Faraday Society 41:365–374, 1945.

[26] G. Eder and H. Janeschitz-Kriegl. Structure development during processing: crystallization. In:

H. E. H. Meijer, editor, Processing of Polymers, number 18 in Materials Science and Technology:

a Comprehensive Treatment, 269–342. Wiley-VCH, Weinheim, 1997.

[27] J. D. Hoffman, G. T. Davis, and J. I. Lauritzen. The rate of crystallization of linear polymer with

chain folding. In: N. B. Hannay, editor, Treatise on Solid State Chemistry, volume 3, 497–614.

Plenum Press, New York, 1976.

[28] K. Boutahar, C. Carrot, and J. Guillet. Journal of Applied Polymer Science 60(1):103–114, 1996.

[29] K. Boutahar, C. Carrot, and J. Guillet. Macromolecules 31(6):1921–1929, 1998.

[30] R. I. Tanner. Journal of Non-Newtonian Fluid Mechanics 102:397–408, 2002.

[31] R. I. Tangger. Journal of Non-Newtonian Fluid Mechanics 112(23):251 – 268, 2003.

[32] N. Van Ruth, J. Vega, S. Rastogi, and J. Martnez-Salazar. Journal of Materials Science 41:3899–

3905.

[33] N. V. Pogodina, H. H. Winter, and S Srinivas. Journal of polymer science Part B-polymer physics

37(24):3512–3519, 1999.

[34] S. Coppola, S. Acierno, N. Grizzuti, and D. Vlassopoulos. Macromolecules 39(4):1507–1514,

2006.

[35] Y. P. Khanna. Macromolecules 26(14):3639–3643, 1993.

[36] R. J. A. Steenbakkers. Precursors and Nuclei, the Early Stages of Flow-Induced

Crystallization. Ph.D. thesis, Technische Universiteit Eindhoven, 2009. Available at

http://www.mate.tue.nl/mate.

[37] W. R. Hwang, G. W. M. Peters, M. A. Hulsen, and H. E. H. Meijer. Macromolecules 39(24):8389–

8398, 2006.

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Chapter three

Pressure quench of flow-induced

crystallization precursors

Abstract

We developed a novel protocol to study the mutual influence of shear flow and

pressure on crystallization of polymers. Here, we have applied this protocol, named

“pressure quench”, to polyethylene with a bimodal molecular weight distribution. With

pressure quench, the undercooling, required to initiate crystallization of flow-induced

precursors generated at high temperature, is obtained by increasing pressure, i.e.,

leaving the specimen isothermal. We find that pressure enhances the effect of shear. In

particular, results show that the pressure quench effectively “lightens up” shear-induced

precursors which otherwise are not observable, even with high-resolution synchrotron

X-ray scattering. A pressure quench in combination with SAXS and WAXD gives

insight into the early stages of crystallization. In this chapter we focus on the use of

WAXD since it provides all the information required to demonstrate our main issues.

We conclude that precursors with different stability can be formed during shear and,

with annealing, the least stable ones relax back to the melt. Finally, it is demonstrated

that when pressure is released after crystallization, an “inverse quench” takes place and

crystalline structures partially melt, similar to an increase of the temperature.

This chapter is based on : Zhe Ma, Luigi Balzano, Gerrit W.M. Peters. Macromolecules 45:4216–4224, 2012

23

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24 Chapter 3

3.1 Introduction

Semicrystalline polymers represent the largest group of commercial polymeric

materials. Their properties strongly depend on the crystalline structures that form

during processing. [1–4] Apart from molecular features, the structures formed are

controlled by processing variables such as flow, pressure, and temperature. These

variables are often investigated individually, but there is also a remarkable mutual

influence that is still unexplored. Laying ground for unraveling the relation between

pressure and flow is the topic of this chapter.

It is established that shear flow is able to generate precursors of crystallization in

molten polymers. [5–8] Flow-induced precursors are metastable domains where stretched

molecules assume a packing order in between the amorphous and the crystalline states.

They can be considered as the cradle of flow-induced nuclei as, in suitable conditions,

e.g. at low temperature, they nucleate and grow into crystalline structures. In this way,

crystallization kinetics is accelerated, and the final morphology of the material is altered.

Therefore, monitoring formation and evolution of crystallization precursors is crucial to

rationalize the effect of flow on the final morphology of polymeric manufactures.

Precursors are often invisible to scattering techniques such as SAXS and WAXD

because their structure is neither crystalline nor densely packed or their concentration

is too low to produce significant effects. In these cases, they are studied indirectly by

interpreting features (such as kinetics and morphology) of the subsequent crystallization

process. [9–15] Interestingly, precursors can be generated and survive for long times

also when temperature is around and sometimes above the melting point. [9, 11–14]

Especially in these cases, cooling to a lower temperature is a convenient way to trigger

crystallization. For instance, Hsiao et al. [9] found that, for polyethylene (PE), after

flow (γ = 20 s−1, ts = 12 s) at 134 ◦C, no structure could be observed with WAXD.

Nevertheless, after bringing the system at 129 ◦C, oriented crystals started to grow.

Practically, the cooling step should be fast and the final temperature not too low in order

to keep the nucleation and growth separated on the time resolution of the experiment.

This is commonly achieved by cooling with a liquid or gas medium. Small lab-scale

devices, such as the commercially available Linkam shear cell, can reach cooling rates

up to 30 ◦C/min. Whereas, flow cells designed for strong flows and high pressures are

typically restricted to lower values as they are constructed out of relatively large masses

of metal. For example, the average cooling rate for the original design of the Multi-Pass

Rheometer (MPR) is 1 ◦C/min. [16]

When performing flow around the melting point followed by cooling to a lower

temperature, the lifetime of precursors becomes an important parameter as for long

cooling times (compared with the lifetime); a fraction of the precursors dissolves and

thus mitigates the apparent effect of flow on crystallization. Balzano et al. [17] suggested

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Chapter 3 25

that, shortly after flow unstable structures dissolve on the time scale of the reptation of

the longest molecules of the melt. Therefore, experimental protocols are required that

allow for studying the details (number, size, morphology, and dynamics) of precursors

in the very early stages while having control over their relaxation behavior. The goal

is to separate the nucleation from the growth step. In this light, cooling directly to

room temperature is often not a valid option since the fast overgrowth of crystalline

structures would obscure nucleation. On the other hand, performing experiments at

high temperature, close to the nominal melting temperature, seems a better solution

as growth is very slow in these conditions. The drawback is that structures created at

high temperatures are very sporadic and easily fall beyond the detection limits even of

high-resolution methods such as synchrotron X-ray scattering.

An alternative way to perform controlled quenching is to utilize a pressure quench. In

other words, apply pressure and, in this way, shift the melting temperature (according

to the Clausius–Clapeyron relation) and thus effectively increase the undercooling

without actually changing the sample temperature. This methodology can be directly

implemented in certain slit-flow devices such as the one developed in Eindhoven [18]

(mounted on the MPR) and offers some clear advantages:

• The “cooling” step can be instantaneous.

• Temperature gradients and undershoots can be avoided (especially important for

thick samples).

• The cooling step is easily reversed by depressurizing so complex undercooling

histories can be applied simply by varying pressure.

Pressurization has been used as an alternative way to shift the phase boundary

in studies on phase separation. [19, 20] In particular, it was found that during phase

separation of polymer blends the general features of nucleation are independent of

whether the undercooling is obtained by decreasing temperature or by increasing

pressure. [20] Therefore, pressure quench provides an effective way to obtain

undercooling. Moreover, it also reflects the practically important, mutual influence

between flow and pressure in polymer processing techniques.

In this chapter, we demonstrate the use of pressure quench to investigate the early

stages of nucleation of flow-induced precursors. We focus on a bimodal blend of PE

containing 3 wt% high molecular weight tail to simplify the rheological classification [21]

of the flow conditions and to enhance the flow-induced formation of crystallization

precursors. [22–28] Only a relatively mild increase of pressure is used in this work,

since a few degrees of undercooling is already effective to accelerate the flow-induced

crystallization growth. Moreover, a too high pressure (on the order of kbar) may

induce the hexagonal phase [29, 30] of PE, which is beyond the scope of this work.

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26 Chapter 3

Theoretical aspects on the origin of flow-induced precursors are not discussed here.

Details can be found in a previous paper of our group. [31] For example, the issue

if flow creates precursors directly from the melt or if precursors (so called dormant

precursors [32, 33]) are always present and flow only changes their size to increase the

number that can be activated by a quench, was dealt with in detail.

3.2 Experimental

3.2.1 Materials

A bimodal polyethylene blend containing 3wt% of high molecular weight tail was

used in this work. The ultrahigh molecular weight polyethylene (UHMWPE) has a

weight-averaged molecular weight Mw = 1480 kg/mol and polydispersity Mw/Mn = 2.

[34] The linear low molecular weight polyethylene (LMWPE) matrix, supplied by Basell

Polyolefine GmbH (Frankfurt, Germany), has a Mw = 45 kg/mol and polydispersity

Mw/Mn = 3. The critical overlap concentration of high molecular weight molecules can

be calculated with [35, 36]

c∗ =3Mw

4π〈Rg2〉3/2ρNA

(3.1)

where 〈Rg2〉 is mean-square radius of gyration of chain related to the molecular weight by

〈Rg2〉1/2 = 0.46Mw

1/2, [37] ρ is the density andNA is Avogadro’s number. The estimated

critical concentration of UHMWPE is around 0.35wt%, i.e., much smaller than the

3wt% in our bimodal blend, meaning that a significant number of entanglements exist

between the UHMWPE molecules.

The bimodal system was prepared by solution blending to achieve mixing at a

molecular scale. The UHMWPE was first dissolved in a xylene solution at 130 ◦C, and

subsequently LMWPE was added to dissolve, where the concentration of total PE’s is

2.5% with an antioxidant (IRGANOX1010) added at a concentration of 2000 ppm. This

solution was stirred for 1 h under a nitrogen atmosphere. Next, the hot xylene solution

was poured into a large excess of stirred cold methanol. The precipitated gel was filtered

and washed with methanol several times and then dried in vacuum at 80 ◦C for 2 days.

After further addition of 2000 ppm of antioxidant (IRGANOX1010), in order to avoid

degradation during sample preparation, the bimodal blend was compression molded at

160 ◦C into strips to fit the test cell.

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Chapter 3 27

3.2.2 Protocol

The slit flow device developed in Eindhoven [18,38] is an evolution of the Multi-Pass

Rheometer of Eland Engineering Co Ltd. (UK) [39] (see Figure 3.1). The flow cell is

specifically designed for online scattering and therefore equipped with diamond windows

(opening angle of 45◦). The specimen (L = 200mm, W = 6mm, and H = 1.5mm)

is confined between two servo hydraulically driven rectangular pistons. An important

advantage of this slit-flow device is the possibility to impose and release pressure. The

maximum pressure is 800 bar and the maximum temperature 250 ◦C. The procedures

for flow, pressurization, and depressurization are illustrated in Figure 3.1.

(a) (b) (c)

Figure 3.1: Schematic of the flow device and flow, pressurization, and depressurizationprocedures. Moving directions of the pistons are indicated by arrows. Heatingrods and the heating/cooling channels are not shown.

Moving the two pistons in the same direction introduces a shear flow to the sample

(Figure 3.1a), while moving the two pistons toward or away from each other will

pressurize (Figure 3.1b) or depressurize (Figure 3.1c) the sample, respectively, without

causing any flow at the observation point (center of the slit). The pressure difference

during flow is recorded by means of two pressure transducers.

The experimental protocol used in this chapter is shown in Figure 3.2. The polymer

in the test cell is first heated up and annealed at 190 ◦C for 10 min to erase the memory

of previous thermal and mechanical histories and then cooled to 134 ◦C at which shear,

pressurization, and depressurization are performed. To avoid temperature fluctuations,

the cell is stabilized by means of an oil bath, while the top and bottom barrels are

always kept at high temperature (190 ◦C) in order to have the pressure transducers

functioning properly. Next, flow is imposed with a piston speed of 15mm/s for 0.8 s.

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28 Chapter 3

time

pre

ssure

shear

tem

pera

ture

ta

Figure 3.2: Experimental protocol. The annealing time ta is between cessation of flow andpressurization.

The shear rate and Weissenberg number (Wi) distributions over the slit thickness were

estimated considering the rheology of the material and are shown in Figure 3.3 (see also

the Appendix). The shear rate varies nonlinearly from 0 at the slit center to a maximum

of 67 s−1 at the wall. The Weissenberg number, Wi = γτRouse, is used to estimate the

molecular stretch induced by flow. When Wi > 1, molecules become stretched, and

this is a requirement for the creation of precursors. [40] The longest Rouse times of

UHMWPE and LMWPE at 134 ◦C are 4.9×10−2 and 4.5×10−5 s (see section 3.3.3 for

the calculation), respectively, so the Weissenberg number for molecular stretch at the

wall is 3.3 for HMW tail but nearly zero for LMW matrix.

In order to obtain good filling of the slit and rule out wall slippage, a reference

pressure of 50 bar was kept on the specimen. The average pressure during flow,

PAverage = Plower +12△Psensor, where Plower and △Psensor are the lower pressure (around

15 bar) and the pressure difference between the two pressure sensors (see Figure 3.4),

is around 70 bar totally, so the influence of flow on the pressure level is negligible.

A pressure of 300 bar was chosen as the elevated pressure level to increase the melt

undercooling. Figure 3.2 also shows that pressurization can be applied right after flow

(ta = 0) or after annealing (ta = 22 min) with the same flow. Both protocols were

employed in this work. The former (ta = 0) is used to see if any precursors were formed

during flow, and the latter (ta = 22 min) is to show how precursors develop with time.

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Chapter 3 29

centerwall wall

0.15 0.30 0.45 0.60 0.75

0

1

2

3

4

LMWPE matrix

distance from center (mm)

UHMWPE

We

issen

be

rg n

um

be

r

0.75 0.60 0.45 0.30 0.15 0.00

0

20

40

60

80

distance from center (mm)

she

ar

rate

(1/s

)

Figure 3.3: Distributions of shear rate and Weissenberg numbers for stretching HMW tailand LMW matrix over the slit thickness direction.

3.2.3 X-ray characterization

X-ray measurements were carried out at the Dutch-Belgian (DUBBLE) beamline

BM26B of the European Synchrotron Radiation Facility (ESRF) in Grenoble, France,

with a wavelength of 0.95 A. [41] A Frelon detector with a resolution of 2048 × 2048

pixels of 48.8µm × 48.8µm, and placed at a distance of 0.195m, was used for wide-

angle X-ray diffraction (WAXD). The measuring time of each WAXD frame, including

exposure and readout of data, was 8.5 s.

WAXD images were processed with the software package FIT2D to obtain intensity

versus scattering angle (2θ) profiles. Crystallinity was calculated after deconvolution

of the total intensity scattered by the crystalline (Acrystal) and amorphous (Aamorphous)

domains:

X =Acrystal

Acrystal + Aamorphous× 100% (3.2)

Flow-induced crystallization depends on the strength of the local flow field. In the

slit geometry, the shear rate changes from a minimum in the center to a maximum at

the wall, as shown in Figure 3.3, so shear-induced crystalline layers will form mostly

next to the two walls. X-ray going through the whole sample thickness will scatter from

the two shear layers, and therefore, values calculated in this way do not represent the

real crystallinity in certain specific layer but rather an “apparent” crystallinity averaged

over the optical path of the X-ray beam through whole sample.

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30 Chapter 3

3.3 Results and Discussion

3.3.1 Reference experiment: no pressure quench after flow

The formation and development of flow-induced precursors are investigated with a

shear pulse (γ = 67 s−1, ts = 0.8 s) under 50 bar at 134 ◦C. First of all, the structural

development during flow was examined through the rheological response of the polymer

melt. Figure 3.4 shows the evolution of pressure difference during flow, which first

increases rapidly, subsequently shows a small overshoot, and reaches a steady-state

plateau. This behavior can be related to the usual nonlinear rheological response of

the sheared molten polymer. Scelsi et al. [42] reported a buildup of pressure difference

(HDPE, 130 ◦C, Wi for stretch is estimated around 60) during flow in a channel with

a contraction in the middle section and associated it to continuous crystal formation

concentrated in the region of slit exit. Such a pressure difference buildup during flow

was not observed in our experiments (134 ◦C, Wi = 3.3). Therefore, our results imply

that crystals do not form during flow or that the viscosity does not change even if

precursors form (as discussed later).

0.0 0.2 0.4 0.6 0.80

20

40

60

80

100

120

140

160

pres

sure

diff

eren

ce (b

ar)

time (s)

experiment 1 experiment 2

Figure 3.4: Pressure difference during flow. Two experiments are shown to demonstrate thereproducibility of the flow history.

Based on the nano- and mesoscale structures of crystalline planes and density

differences, both SAXS and WAXD were employed to examine, at different length scales,

structural aspects of flow-induced precursors. However, in-situ synchrotron SAXS and

WAXD data acquired after flow did not show any observable signal, which confirms

that no detectable crystallization takes place neither during flow nor within the next 20

min when the sample is kept isothermal (data not shown since no detectable signal was

found). More in detail, despite the Wi number for stretching the HMW tail is larger

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Chapter 3 31

than unity in the region close to the wall (see Figure 3.3); neither crystalline nor densely

packed scatterers are observed. This can be a consequence of a low concentration of

precursors, i.e., below the experimental detection limit. Therefore, crystallization has to

be triggered to reflect the features of precursors. For PE, WAXD is sufficient to fulfill

this purpose of characterizing crystallization features (i.e., orientation, crystallinity,

twisted lamellae) which will be shown in the following results. Therefore, we use only

WAXD [43] to track PE crystallization and show that a pressure quench is a suitable

method to visualize precursors even at these very low concentrations.

3.3.2 Pressure quench after flow

In order to investigate the formation of flow-induced precursors, after the application

of the same flow as in section 3.3.1, a pressure quench, with the pressure history shown

in Figure 3.5, is performed. The pressure is raised linearly from the reference pressure

of 50 to 300 bar without overshoot. The synchronous top and bottom pressures indicate

that the pressure field is homogeneously distributed over the specimen and that there

is no flow at the observation point (center of the slit). With pressure, undercooling is

generated and immediately triggers crystallization, illustrated by the WAXD images in

Figure 3.6.

0 10 20 300

100

200

300

pressure - top pressure - bottom

pres

sure

(bar

)

time (s)

Figure 3.5: Pressure profile during a pressure quench.

As soon as the maximum pressure is achieved, arched (110) and (200) reflections

appear in the equator direction (Figure 3.6a), indicating the formation of the

orthorhombic unit cell with c-axis aligned in the flow direction. According to Keller

et al. [6], the diffraction pattern of Figure 3.6a can be produced both by the extended

chain crystals of shish and by the folded chain crystals of untwisted lamellae.

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32 Chapter 3

(a) tc = 0s (b) tc = 8.5s (c) tc = 17s (d) tc = 102s

Figure 3.6: 2DWAXD patterns under a pressure quench after flow. Flow is along the verticaldirection. The reference time is the moment when 300 bar is reached.

For the purpose of this work, it is not essential to make such a distinction. The most

important observation is the presence of highly oriented crystals. In fact, as the sample

is pressurized in absence of extra flow, these oriented crystals originate from deformed

molecules involved in precursors induced by the flow during the shear step.

As crystallization proceeds, the (110) reflection broadens in the azimuthal direction

(Figure 3.6b) and, at tc = 17 s, splits into off-axis diffraction together with the clear

appearance of off-axis (200) diffractions (Figure 3.6c). These off-axis (110) diffractions

are the result of the lateral growth of twisted lamellae. During this process, the

lamellar propagation direction holds perpendicular to the flow direction, but crystal

units rotate along the b-axis. [6] Twisting leads to randomization in the orientation

of c-axes. Keller et al. [6, 44] proposed two extremes of lamellar orientation for flow-

induced PE crystallization: “Keller/Machin I” and “Keller/Machin II”. The former

(KM-I) corresponds to the fully twisted lamellae producing off-axis (110) and meridional

(200) diffractions. The latter refers to the flat, nontwisted lamellae (all c-axes parallel

with flow direction) producing equatorial (110) and (200) diffractions. In the transition

from one to another an “intermediate” state is observed showing the off-axis (110) and

(200) patterns. [6, 45] Therefore, the azimuthal features of the (200) diffraction reflect

the lateral growth of lamellae. [6, 9, 45]

In a later stage, the diffraction of isotropic structures is also observed, e.g. isotropic

(110), (200) diffractions at 102 s (see Figure 3.6d). These two crystallization processes,

fast oriented crystallization and slow isotropic crystallization, characterized by different

degrees of orientation and time scales can be rationalized by considering that the

inhomogeneous flow field in the slit gives rise to inhomogeneous molecular stretch as

shown by Figure 3.3. At the wall, where the stress reaches a maximum, molecules

experience the largest stretch and many flow-induced precursors are generated. These

are the domains where highly oriented crystals are formed upon pressurization. Toward

the centerline, molecules experience little or no stretch and the probability of forming

oriented precursors vanishes. In this part of the sample, isotropic crystallization can

be triggered purely by pressure. The WAXD images (Figure 3.6a-d) are indicative of

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Chapter 3 33

structures averaged over the optical path of the X-ray beam (thickness of the samples),

and therefore, they contain information on both these two processes.

Next, the effect of precursors on crystallization kinetics is illustrated in Figure 3.7a

where the apparent crystallinity is plotted as a function of time for shear-induced

crystallization under a pressure quench and two reference experiments (shear-induced

crystallization without pressure quench and quiescent crystallization with pressure

quench). It is evident that when shear is applied, crystallization starts as soon as

the 300 bar pressure is reached. On the other hand, without shear, crystallization

starts only after 25 s from reaching 300 bar. Eventually, without applying pressure,

crystallization of the sheared polymer does not occur in the experimental time window

of 20 min. The results show that there is a remarkable interplay between flow and

pressure on crystallization kinetics and morphology.

0 20 40 60 80 100

0

5

10

15 flow + Pressure Quench quiescent + Pressure Quench flow

appa

rent

cry

stal

linity

(%)

time (s)

(a) (b)

Figure 3.7: (a) Crystallinity evolution for shear-induced crystallization with pressure quench(◦), quiescent crystallization with pressure quench (△), and shear-inducedcrystallization without pressure quench (�). (b) 2D WAXD pattern of quiescentcrystallization under pressure quench at tc = 34 s.

From the above results, we conclude that oriented precursors are generated by the

flow, but prior to pressurization, they are invisible to X-rays (see section 3.3.1). It is

clear that a pressure quench effectively provides the additional undercooling that triggers

crystallization by raising the equilibrium melting temperature. The equilibrium melting

temperature of PE at 1 bar is T 0m = 414.6 K. [46] Its increase with pressure, described

by the Clausius-Clapeyron relation, can be approximated by T (p) = T 0m+(dT p

m/dp)△p,

where dT pm/dp = 35.2 K/kbar. [46] In this way, the equilibrium melting temperatures

corresponding to 50 and 300 bar are calculated as 416.4 and 425.2 K, respectively.

With pressurization from 50 to 300 bar, the undercooling △T pexp = T p

m − Texp increases

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34 Chapter 3

from △T 50bar134 ≈ 9K to △T 300 bar

134 ≈ 18K (experimental temperature 407.15 K). Thus, a

pressure quench from 50 to 300 bar increases the undercooling by 9 K within 25 s. Such a

pressure quench, around 22 K/min, is comparable to a temperature quench in small lab-

scale device. On the other hand, it is much more efficient than lowering the temperature

of such large metal device with a cooling medium, especially since the cooling rate

decreases when approaching the target temperature, and thus it usually takes much

longer time (minutes) to stabilize at the desired undercooling (see the Appendix).

The azimuthally homogeneous (110) diffraction in Figure 3.7b shows that pressurizing

does not cause flow at the observation point which might have influenced crystallization.

Concluding, oriented crystals (Figure 3.6) and faster kinetics (Figure 3.7a) show

that precursors can form in a sheared melt, where only the HMW chain is stretched.

This demonstrates that the HMW tail determine the formation precursors, consistent

with the findings of Mykhaylyk et al. [15] A pressure quench triggers crystallization

and effectively “lightens up” these flow-induced precursors which could not be detected

otherwise for these conditions (134 ◦C, 50 bar).

3.3.3 Pressure quench after annealing

The effect of partial dissolution of flow-induced precursors can be semi-qualitatively

estimated by introducing an annealing step (during which pressure is kept at 50 bar)

between the flow pulse and the pressure quench. During the annealing step, whose length

is arbitrarily fixed at 22 min, no structural changes were observed by SAXS/WAXD

(data not shown). Figure 3.8 shows the 2D WAXD patterns after applying a pressure

quench to the sheared and annealed specimen. The equatorial (110) diffraction in Figure

3.8a indicates the survival of orientation in the precursors with annealing.

(a) tc = 0s (b) tc = 8.5s (c) tc = 34s (d) tc = 93.5s

Figure 3.8: 2D WAXD patterns of structures after flow, 22 min annealing under 50 bar anda final pressure quench. Flow is along the vertical direction.

The difference with crystallization without annealing (section 3.3.2) is the meridional

(200) diffractions (Figure 3.8c) that arises from a higher degree of randomization in the

Page 46: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 3 35

c-axes of the unit cells. [6] This arises from the fact that, in the annealed sample, the

lamellae can grow laterally over a longer distance; i.e., their nucleation points are further

apart than in the nonannealed sample and also means that the annealed sample has a

lower nucleation density.

This observation suggests that the lifetime of some of the flow-induced precursors is

longer than 22 min (at 134 ◦C and 50 bar), whereas for others it is not.

The question is whether the long lifetime of precursor relates to the rheological time

scales of the material. Considering the molecular weight between entanglements Me =

828 g/mol, [47] the numbers of entanglements per chain, Z, for HMW tail and LMW

matrix are 1787 and 54, respectively. Because of the significant degree of overlap of long

molecules and of the low Struglinski−Graessley number Gr = ZHMW/Z3LMW = 0.01,

dynamic tube dilution can be neglected. [47] In other words, the relaxation time of

HMW molecules is not reduced by the LMW matrix. According to the tube model,

the Rouse time τRouse and reptation time τD, responsible for stretch and orientation

relaxations, can be calculated from

τRouse = τeZ2 (3.3)

τD = 3τeZ3

(

1− 1.51√Z

)2

(3.4)

where τe is the entanglement equilibration time, around 7×10−9 s for PE at 190 ◦C. [47]

Without considering molecular weight distribution and the effect of 50 bar pressure,

the estimated reptation times of the HMW tail and LMW matrix at 134 ◦C (Ea =

21.8 kJ/mol) are 243 and 0.005 s, respectively, and the Rouse times are 4.9 × 10−2

and 4.5× 10−5 s, respectively. The striking feature is that the longest relaxation time,

τD−HMW ∼ 4 min (predicted with Mw), is much shorter than the annealing time, 22

min.

Concerning precursor relaxation, previous experimental studies [17, 38, 48] showed

that the relaxation of the most unstable “shear-induced bundles”, observable with

SAXS, follows the reptation dynamics of the longest chains whereas stable precursors

survive on time scales much longer than the rheological ones.

Systematical studies on “relaxing” shear-induced “nucleation precursors” that are

invisible to SAXS were done by Alfonso and co-workers. [14] They found that, in iPP,

at temperatures as high as 190 ◦C (above nominal melting temperature but not beyond

equilibrium melting temperature), “nucleation precursors” can survive much longer than

the longest rheological relaxation times, and that the characteristic survival time can

be increased by a stronger or longer flow. The change in relaxation times implies that

other effects are determining the dissolution of precursors. This idea is supported by the

different relaxation behaviors of the flow-induced helices in iPP as observed by An et

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36 Chapter 3

al. [49] They suggested that interactions between flow-induced helices of iPP dominate

the dissolution rates and the helices with interactions relax slower than those without.

Considering the long lifetime of X-ray unobservable oriented precursors, in our

results, it is reasonable to infer that interactions between PE chain segments

(comparable to very local crystallization events) contribute to the long lifetime beyond

the rheological times. According to the classical nucleation theory, a precursor below the

critical size tends to relax; the interaction decreases the relaxation kinetics. Once the

total interaction (contributed by the increased volume as well) is sufficient, the volume

free energy overcomes the surface energy, and the precursors can develop to nuclei that

are stable. Long-term stable precursors were also observed by Mykhaylyk et al. [15] for

hydrogenated polybutadiene; the precursors survived within the experimental window

which was as long as 10 h. Interestingly, in our experiments, when these segmental

interactions are initiated during flow, they do not cooperate significantly to change the

viscosity of the whole melt as observed from the pressure difference in the presence of

precursors (see Figure 3.4).

0102030405060708090

10

20

30

40

Azimuthal angle ( o)

Inte

nsity

(a.u

.)

time

0s

110s

51s

(a)

0102030405060708090

10

20

30

40

Azimuthal angle ( o)

Inte

nsity

(a.u

.)

time

0s

85s

(b)

Figure 3.9: Change in the azimuthal distribution of (200) diffraction during pressure quenchcrystallizations for (a) unannealed and (b) annealed samples.

The structures surviving the 22 min annealing step show some specific features

that can be captured by looking at the (200) reflection. Figure 3.9a shows that the

(200) diffraction of the unannealed sample occurs at low azimuthal angle and moves

toward higher value with time. After about 51 s, the majority of the (200) diffractions

tends to develop around the azimuthal angle of 50◦, quite similar to the “intermediate”

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Chapter 3 37

orientation mode. In contrast, for annealed samples, the (200) diffraction is found along

the meridional direction (see Figure 3.9b), indicating a pronounced Keller/Machin I

mode. The data of Figure 3.9 show that, during crystallization without annealing, a

higher fraction of flat lamellae formed in comparison with the annealed sample.

The different morphology must be associated with nuclei density which is larger in

the unannealed sample. This result is consistent with the finding of Keum et al. [9]

that twisted lamellae are more prominent when the shish density is smaller due to

lower shear strength (at the lower shear rate 20 s−1 compared with 70 s−1 for the

same flow time). Thus, the lower nuclei density in the annealed sample indicates that

some unstable shear-induced precursors relaxed during annealing. The crystallinity

developments of the annealed and unannealed samples are compared in Figure 3.10 with

quiescent crystallization as reference. The lower crystallinity in the annealed sample

confirms the decrease in the total nuclei number, consistent with 2D patterns comparison

between Figures 3.6 and 3.8.

0 20 40 60 80 100

0

5

10

15 un-annealed annealed quiescent

appa

rent

cry

stal

linity

(%)

time (s)

Figure 3.10: Crystallinity evolution for (◦) unannealed, (⋄) annealed, and (△) quiescentcrystallization under pressure quench.

Concluding, both stable and unstable precursors are generated by the flow in a

slit with varying flow strength over the thickness. The stable precursors orient and

accelerate the following crystallization while unstable ones disappear during annealing

leading to a larger space for overgrowth and higher fraction of twisted lamellae.

These precursor evolutions, i.e., survival and relaxation, can be distinguished only by

crystallization started with high enough undercooling, which, in this work, is obtained

by a pressure quench.

Page 49: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

38 Chapter 3

3.3.4 Inverse quench by depressurization

Finally, we present the results for resetting the pressure from 300 bar back to 50

bar before reaching complete crystallization. Depressurization suddenly eliminates

the increased undercooling (the experimental temperature is kept 134 ◦C). Figure

3.11a shows crystallinity evolutions after depressurization (prior to depressurization

the annealed and unannealed sample have been crystallized for about 100 s). For

both samples, crystallinity decreases but does not vanish completely. The residual

crystallinity in the unannealed sample is around 2%, 4 times larger than that of the

annealed sample (final level around 0.5%). Crystallinity decrease after depressurization

is ascribed to melting of the lamellae due to the reduced undercooling by depressurizing,

which acts as “inverse quench”. [50]

0 100 200 300 400 500

0

2

4

6

8

10

12 un-annealed annealed

appa

rent

cry

stal

linity

(%)

time (s)

(a) (b) (c)

Figure 3.11: (a) Crystallinity evolution of (◦) unannealed and (⋄) annealed samples duringmelting. t = 0 when pressure reaches 50 bar. The 2D WAXD images of (b)unannealed sample at 527 s and (c) annealed sample at 408 s during melting.

Cho et al. [51] suggested that PE lamellae may further thicken in an isothermal

process. Thus, when the crystallization time is not long enough for all crystals to finish

thickening, as in our work, the early formed crystals have thicker lamellae compared to

those created in the late stages. The resulting lamellar distribution leads to variation

in thermal stability. Thus, after depressurization the stable (thick) crystals can survive

but unstable (thin) ones melt. As a result, the unannealed sample with more nuclei

has more stable (thicker) crystals than the annealed sample. Figure 3.10 shows that

oriented crystallization sets in before unoriented crystallization; therefore, oriented

crystals experience longer isothermal thickening, and this makes them more likely to

survive in inverse quenching. This is confirmed by the results shown in Figure 3.11c.

Page 50: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 3 39

3.4 Conclusions

The pressure quench is a relatively simple way to mimic a temperature quench.

It has a number of advantages compared to thermal quenching (reverse cooling by

depressurizing, avoiding temperature gradients, introducing complex thermal histories).

It was applied for (a) crystallizations under quiescent condition and (b) flow and with

and without subsequent annealing. For quiescent crystallization it is demonstrated that

rising pressure to 300 bar is enough to trigger crystallization. Application on sheared

samples shows that a pressure quench effectively visualizes the shear-induced precursors

which are invisible to X-ray scattering. Crystallization kinetics is faster in this case,

and oriented morphology is observed. The orientation in the outmost layer can survive

annealing for 22 min, but the average nuclei density along the whole sample does relax.

In addition, depressurization before complete crystallization leads to partially melting

of the crystals which is explained by the variation in lamellar stability.

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Chapter 3 41

[43] Both SAXS and WAXD were used to examine if any X-ray observable precursors form during

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Page 53: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

42 Chapter 3

Appendices

3A. Temperature cooling of MPR

The measured temperature profile during cooling the flow cell from 132 to 124 ◦C

by circulating 124 ◦C oil is shown in Figure 3.12. The cooling rate decreases when

approaching the target temperature. The temperature cooling takes about 10 min to

obtain the similar undercooling with the pressure quench from 50 to 300 bar at 134 ◦C.

0 100 200 300 400 500 600 700 800

124

126

128

130

132

tem

pera

ture

(o C)

time (s)

Figure 3.12: Temperature evolution in the flow cell during cooling from 132 to 124 ◦C bycirculating 124 ◦C oil.

Page 54: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 3 43

3B. Calculation of shear rate in the slit channel

A Rheometrics ARES rheometer is used with a plate-plate geometry for small-

amplitude oscillatory shear measurements. A strain sweep was done first to determine

the linear region and accordingly the applied strain is set to 10% for subsequent

rheological measurements. The characteristic rheological properties (storage modulus

G′, loss modulus G′′, phase angle δ and complex viscosity η∗) are obtained over the

angular frequency range between 0.0025 and 100 rad/s at three different temperatures,

140, 170 and 200 ◦C. The experiments are performed in a nitrogen environment to avoid

polymer degradation. Time-temperature superposition is applied to obtain the master

curves at the reference temperature of 140 ◦C.

The material used is a bimodal PE system. Its master curve of dynamic viscosity

curve is shown in Figure 3.13; the shear thinning behavior doesn’t follow a simple Cross

model. A double-cross model is used:

η(γ) =η1

1 + (K1 × γ)(1−n)+

η21 + (K2 × γ)(1−n)

(31)

We use the Cox-Merz rule, i.e. the shear dependent viscosity is taken equal to the

dynamic viscosity. The result is shown in Figure 3.13 and the fitting parameters are

listed in Table 3.1.

0.01 0.1 1 10 100102

103

104

105

experimental data

(Pa*

s)

(rad/s), shear rate (1/s)

fitting

Figure 3.13: The master curve of complex viscosity at 140 ◦C (open points) and the fittingof double-cross model (solid line).

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44 Chapter 3

Table 3.1: All fitting parameters for double-cross model.

η1 (Pa∗s) K1 (s) η2 (Pa∗s) K2 (s) n331131 2239 661 0.005 0.25

The piston speed is 15 mm/s and the area of cross-section is 6×1.5 (mm×mm), so

the volume flux is 135 mm3/s. Known the viscosity behavior and volume flux, the shear

rate can be determined by a simple iterative numerical calculation. Some typical values

are listed in Table 3.2 and the shear rate vs. thickness curve is in Figure 3.3.

Table 3.2: The shear rate at different position over slit thickness.

distance from slit center(mm) shear rate (s−1)0.0375 1.00.1125 5.60.1875 11.00.2625 16.90.3375 23.30.4125 30.20.4875 37.50.5625 45.20.6375 53.40.7125 62.10.75 66.7

Page 56: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter four

Short-term flow induced

crystallization in isotactic

polypropylene: how short is short?

Abstract

The so-called “short-term flow” is widely applied in experimental flow-induced

crystallization studies in order to separate the nucleation and subsequent growth

processes. The basis of “short-term flow” is the assumption that structure development

during flow can be minimized and the polymer rheological behavior, i.e. the viscosity,

does not change. In this chapter we explore the validity of this assumption for short

but strong flow and reveal the structure formation in the early stages of crystallization.

Viscosity and structure evolution of an isotactic polypropylene (iPP) melt at 145 ◦C are

measured during short-term flow (0.20-0.25 s) using the combination of a slit rheometer

and fast X-ray scattering measurements. For high enough shear rates (≥ 240 s−1)

a viscosity rise is observed during flow, i.e. the conditions for “short-term flow” are

not satisfied. Such a viscosity rise indicates structure formation in the slit which is

considered as the formation of shish or their precursors. With a time delay of about

0.1 s with respect to the viscosity rise the development of shish is observed by means

of time resolved SAXS measurements in the middle of the slit. Depending on the shear

rate these shish are detected during flow (shear rates ≥ 400 s−1) or after flow (400

s−1 > shear rates ≥ 240 s−1). For shear rates between 80 and 160 s−1, the viscosity

This chapter is based on : Zhe Ma, Luigi Balzano, Tim van Erp, Giuseppe Portale, Gerrit W. M.Peters. to be submitted, 2012

45

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46 Chapter 4

does not change significantly and, instead of shish, oriented row nuclei are generated.

These flows qualify as short-term flow conditions, but the transient and inhomogeneous

behavior, both in flow and in flow gradient direction, has to be taken into account when

characterizing the flow field in future studies.

4.1 Introduction

Semi-crystalline polymers, especially polyethylene (PE) and isotactic polypropylene

(iPP), are widely used materials because of their low cost, easy processing, good

chemical resistance, etc. These materials are often processed from the molten state and

therefore subjected to flow fields when molded into final products. It is well known that

these flow fields can not only accelerate crystallization kinetics by orders of magnitude,

but also radically change the crystalline morphology from isotropic spherulites to

highly oriented shish-kebab. Such a morphological transition is important since the

morphological building blocks determine the final (mechanical and other) properties

of products. [1, 2] Therefore, a full understanding of the relation between flow fields,

crystallization kinetics and the resulting morphology is required to design processing

procedures for optimal properties.

Initial studies on flow-induced crystallization of polymer melts focused on the

structure evolution during continuous flow fields. [3–7] Crystallization of polymers is

governed by nucleation and growth and both these processes are influenced by the

flow. [8, 9] When crystals nucleate/grow, the viscosity of the melt increases and this

enhances the effect of flow on crystallization, giving rise to a self-enhancing mechanism.

To simplify this kind of experiments, Janeschitz-Kriegl and co-workers proposed a

“short-term shearing” method [10], where the shear duration is chosen short enough

so that during flow the effects of crystallization on viscosity and structure changes are

minimized. It is assumed that only nuclei or their precursors are created during flow and

that these structures crystallize and grow after the flow ceases. In this way, the features

of flow-induced nuclei are revealed indirectly by studying the resulting crystallization

kinetics and morphology. This “short-term flow” has been widely used in studies on flow

induced crystallization in order to separate the nucleation and growth processes. [10–19]

Based on the assumption that viscosity is not changed by the flow, the effect of the

flow can be characterized by using flow characteristics and rheological properties. For

instance, the mechanical work [20]

w = η

∫ ts

0

γ 2(t)dt (4.1)

with the averaged viscosity η, shear rate γ(t) and shear time ts, is often considered

as the controlling factor in flow-enhanced nucleation [20] and formation of oriented

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Chapter 4 47

structures [16, 18]. For the constant shear rate applied, often the steady state viscosity

is used. The key assumption to ensure this approach to be useful is that no change in

the rheological properties occurs during flow time.

In more recent work [21–23] fast time-resolved experimental methods were used

to investigate structure development, also during a short flow pulse, for conditions

where the Weissenberg number related to the stretch of the high molecular weight

tail (WiR−HMWtail) is large. Kumaraswamy et al. [21] performed slit-flow experiments

with constant wall stress (0.06 MPa) and attributed the observed unusual upturn

in birefringence to the generation of long-lived oriented structures. Balzano et al.

[23] observed the appearance of X-ray diffraction peaks indicating the formation of

crystalline structures during flows shorter than 1 s. These evidences imply that the

short-term flow protocols employed were not sufficiently short to prevent structure

formation, even though the shear time is much less than the characteristic crystallization

time.

These findings raise questions concerning short-term flow: can viscosity change

during flow? If so, under what conditions and how fast and, finally, what is the relation

between a viscosity change and structure formation in these early stages?

In addition, the early stages of shear-induced crystallization, from a structural

point of view, are still under debate. It has been proposed that so called dormant

nuclei already preexist in the amorphous melt and are activated by flow to trigger

crystallization. [24,25] The unusual birefringence upturn observed by Kumaraswamy et

al. [21, 22] points towards the formation of “shear-induced oriented structures” [21].

However, X-ray scattering measurements could not resolve these structures at the

relatively high temperatures applied (168 and 173 ◦C). [26] On the other hand, density

fluctuations were observed during extrusion of iPP [27] and this was interpreted as a

process where crystallization is preceded by spinodal-assisted phase separation enhanced

by flow [28]. Balzano et al. [17] found shear-induced “bundles” generated by flow

and, in line with a more classical view on crystallization, they suggested that the

bundle dimensions determine the subsequent evolution of crystallization or relaxation.

Obviously, a variety of structures can be generated by flow. The current understanding

on shear-induced crystallization, especially concerning the initial stage during flow, is

not yet clear enough to answer the above questions.

The present study focuses on structure formation and viscosity changes (other than

the normal transient response of a start-up flow) during short-term shear flow (max.

0.25 s) and explores the flow strength dependency of these events. For this purpose, a

slit rheometer and fast X-ray scattering measurements are combined to achieve a time

resolution sufficient to resolve the phenomena studied.

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48 Chapter 4

4.2 Experimental

4.2.1 Material

The material used in this work is a commercial isotactic polypropylene (iPP)

homopolymer (HD601CF) provided by Borealis GmbH, Austria. This iPP has a weight

average molecular mass, Mw ≈ 365 kg/mol and a molecular weight distribution Mw/Mn

of 5.4. Its nominal melting and crystallization temperatures are 163 and 113 ◦C,

respectively. [18] A full characterization of the crystallization kinetics of this grade,

both for quiescent and flow enhanced, are given in refs [18, 29, 30].

For sample preparation, the material was first compression molded at 220 ◦C to plates

with thickness of 1.5 mm. Next, strips were machined of H ×W ×Ltot = 1.5× 6× 200

mm3 that fit in the slit flow cell.

4.2.2 Methods

The slit flow cell is operated on a multipass rheometer [31]. The specimen is confined

between two servo-hydraulically driven rectangular pistons that fit tightly in the slit, see

Figure 4.1. When pistons move together in one direction, they impose a shear field to

the polymer melt. The top and bottom barrels are equipped with pressure transducers

(distance between the transducers L = 160 mm) to measure the pressure history in the

slit during flow. The pressure difference △P is used to determine the apparent viscosity.

A pair of diamond windows placed in the middle of the flow cell allows for in-situ X-ray

characterization during and after flow.

X-ray

e-

ESRF slit rheometer “Pilatus” detector

synchrotron

radiation

Figure 4.1: Combined in-situ synchrotron X-ray scattering and slit rheometry.

The polymer in the slit is first heated to 220 ◦C and annealed for 10 min in order

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Chapter 4 49

to erase the sample preparation history. Next, it is cooled to 145 ◦C and pressurized

to 50 bar by moving the pistons towards each other. During cooling, the reference

pressure of 50 bar is kept on the sample to prevent shrinkage holes. The sample is then

sheared and subsequently isothermally crystallized at 145 ◦C. To avoid fluctuations, the

temperature of the cell is stabilized by means of an oil bath. On the other hand, the top

and bottom barrels are kept at high temperature (220 ◦C) to ensure proper functioning

of the pressure transducers. After isothermal crystallization, the slit is cooled to room

temperature and the sample is removed for ex-situ analysis.

The flow strength was varied by choosing piston speeds, Vpiston, from 20 mm/s to 140

mm/s and the apparent wall shear rate is calculated by [32]

γ =6Q

WH2(4.2)

where Q is the volumetric flow rate, W is the slit width (6 mm) and H is the slit

thickness (1.5 mm). Apparent wall shear rates range from 80 to 560 s−1. The shear

duration is fixed at 0.25 s for shear rates from 80 to 400 s−1 and shortened to 0.23 and

0.20 s for 480 and 560 s−1, respectively, due to limitations in the piston displacement.

The apparent wall shear stress and the corresponding apparent viscosity are given by:

σ =H△P

2(1 +H/W )L(4.3)

η =σ

γ=

H2

12(1 +H/W )L× △P

Vpiston(4.4)

Both small-angle X-ray scattering (SAXS) and wide-angle X-ray diffraction (WAXD)

were employed to characterize the flow-induced structures. Synchrotron X-ray

measurements were carried out at the Dutch-Belgian (DUBBLE) beamline BM26B of

the European Synchrotron Radiation Facility (ESRF) in Grenoble, France. [33] The

wavelength used was 1.033 A. Fast acquisitions of SAXS and WAXD were performed

with a Pilatus 1M detector and a Pilatus 300K detector, respectively. This fast step is

carried out at an acquisition rate of 30 frame/s and lasts for 1 s. Both detectors are

triggered by the start of the piston displacement. The Pilatus 1M detector (981 × 1043

pixels of 172 µm × 172 µm) was placed at a distance of 7.117 m and used for SAXS, the

Pilatus 300K detector (1472 × 195 pixels of 172 µm× 172 µm) was placed at a distance

of 0.240 m and used for collecting the equatorial part of WAXD images.

Figure 4.2 shows a typical SAXS pattern (so-called streak) which is the result of a

highly oriented structure. The appearance of such streaks means that the structure

formed has a electron density which is different from its surroundings. Their equatorial

distribution implies that the maximum density contrast is perpendicular to the flow

direction, i.e. these fibrillar objects are oriented along the (vertical) flow direction.

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50 Chapter 4

flow

SAXS streak

( )az

(1/ )q nm

Figure 4.2: A typical SAXS pattern with equatorial streaks. The integrating region fordetermination of the equatorial intensity ISAXS is indicated. Flow direction isvertical.

To describe the evolution of these SAXS streaks, we define a SAXS equatorial

intensity ISAXS integrated over the specific equatorial region:

ISAXS =

∫ 0.2

0.018

∫ 10◦

−10◦I(az, q)dazdq (4.5)

where az is the azimuthal angle and q is the norm of the scattering vector. The scattering

vector q = 4πsin(θ)/λ is defined as with the scattering angle 2θ and the wavelength λ

of X-ray.

4.2.3 Optical microscopy

Optical microscopy was used to visualize the morphology over the sample thickness

direction and to determine the thickness of final shear layers at different positions in the

slit. Cross-sections of 5 µm thick were prepared at a low temperature (approximately

−20 ◦C) using a microtone (Leica RM2165) equipped with a glass knife. Two crossed

polarizers are rotated to ±45◦ with respect to the flow direction and optical micrographs

were taken with an Axioplan imaging 2 microscope combined with an AxioCam camera.

The AxioVision software was used to analyze the micrographs and determine the shear

layer thickness.

4.3 Results

4.3.1 Rheological evolution during flow

Figure 4.3a shows the evolution of pressure difference △P between the transducers

during shear. This pressure difference scales directly with the wall stress and thus with

the apparent viscosity, see Figure 4.3b. The apparent viscosity is an average over the

material in the flow channel between the two pressure transducers. The kink in the

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Chapter 4 51

0.0 0.1 0.2 0.3 0.40

150

300

450

600

750

900

P

(bar

)

time(s)

apparent wall shear rate

560s-1

400s-1

240s-1

80s-1160s-1

560 s-1

480 s-1

400 s-1

320 s-1

240 s-1

160 s-1

80 s-1

(a)

0.01 0.1 1

5x102

103

1.5x103

appa

rent

vis

cosi

ty (P

a*s)

time(s)

560s-1

480s-1

400s-1

320s-1

240s-1

160s-1

80s-1

(b)

Figure 4.3: (a) Pressure difference△P evolution during flow for different apparent wall shearrates. (b) The corresponding transient apparent viscosities. For shear rates of560 and 480 s−1, some pressure data points are missing just before flow stops.These points were extrapolated with a linear function, as shown by the dashedlines in Figure 4.3a.

slope (d△P/dtime) at very short times is an artifact due to a small deviation of the

piston movement during startup. First of all, Figure 4.3a clearly shows that, prior

to any structure formation, the stress is not immediately constant after imposition of

flow. Considering this, we found the apparent wall shear rate to be more suitable to

characterize the strength of flow field than the shear stress which significantly evolves

with time. Secondly, the iPP melt exhibits different behavior with increasing flow

strength; two distinct responses can be distinguished for shear rates ≤ 160 s−1 and

shear rates ≥ 240 s−1.

For relatively low shear rates (80 and 160 s−1) the pressure difference △P first shows

an overshoot, then decreases and, eventually, approaches a steady-state level. This

nonlinear rheological behavior is typical for polymer melts subjected to start-up shear

flow with a constant shear rate. [32] For shear rates ≥ 240 s−1, the trend of △P is rather

different; after the overshoot, △P increases with time rather than leveling off. With

increasing shear rate, this upturn takes place at shorter times and the time-evolution

becomes steeper. Such an unusual trend of △P indicates that, during flow, viscosity

changes due to structure formation. Since crystallinity is still rather low (see next

section) we exclude a suspension-like rheological effect (part of the melt changes into

deformable solid particles, i.e. the crystalline structures) and consider the structures

formed to act as physical cross-links at a molecular level. A clear rise of the dynamic

viscosity at low levels of crystallinity was also observed in quiescent crystallization for

a HDPE by Roozemond et al. [34] and it was found that this rise at the early stage

of crystallization could not be captured by a suspension model. From now on, we will

denote this structure as the “cross-linking structure”.

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52 Chapter 4

What kind of structure is able to change the rheology-related behavior of a polymer

melt? Two examples of deviation from the “normal” rheological behavior during flow

are reported. Scelsi et al. [35] found a “buildup” of △P in high density polyethylene

during flow (the apparent wall shear rate ≈ 200 s−1 and shear time = 2 s at 130 ◦C)

similar to Figure 4.3a. They associated it to a growing crystalline layer in a slit that is

fed from a reservoir. Kumaraswamy et al. [21] observed a birefringence (proportional

to the stress) upturn during flow at constant pressure, different from the typical melt

rheology, and attributed it to the formation of a “highly oriented structure” that, in a

later stage, contributes to formation of a skin layer. These “highly oriented structures”

were examined with in-situ WAXD by Kumaraswamy et al. [12] as well, and a correlation

between these highly oriented structure and crystal formation was found for relatively

low temperatures (141 and 163 ◦C) only. This could not be directly linked to the results

for high temperatures (168 and 173 ◦C). Therefore, the origin of the deviations (viscosity

and birefringence) from the amorphous melt behavior remains unclear.

The absence of a viscosity rise during the short flow period at shear rates of 80 and

160 s−1 does not mean that flow-induced structures are absent. Therefore, to reveal the

origin of viscosity rise during strong flows (shear rates≥ 240 s−1) and probe the potential

structures developing in weak flows (shear rates ≤ 160 s−1), structural investigations

using X-ray scattering were carried out.

4.3.2 Structural evolution

Illustrative SAXS and WAXD patterns, collected during and just after flow, for a

shear rate of 400 s−1 are shown in Figure 4.4. The first three patterns are taken during

flow. Interestingly, after 0.23 s from the beginning of flow, the simultaneous appearance

of SAXS equatorial streaks and WAXD (110) diffraction of monoclinic α-form crystal is

observed. The SAXS equatorial streaks are associated to the formation of fibrils oriented

in the flow direction. In addition, the simultaneous appearance of SAXS streaks and

the WAXD (110) diffraction suggests that these fibrils are already (partially) crystalline

and, therefore, we consider these as crystalline shish. For this case the onset time of

shish is during flow, just before the end of the flow time (0.25 s).

To further illustrate the differences between strong flows, the SAXS results for shear

rates below and above 400 s−1 are shown in detail in Figure 4.5 (we do not show all

WAXD results since the shish formed at 320 and 560−1 are also crystalline. A detailed

crystallization evolution will be presented in chapter 5).

For a wall shear rate γ = 560 s−1 the SAXS streaks appear at 0.17 s, which is still

within the flow period of 0.20 s, while for a wall shear rate γ = 320 s−1 the equatorial

streaks appear at 0.33 s, i.e. after cessation of flow. For γ = 560 s−1 shish start to

develop already during the brief shear pulse while for γ = 320 s−1 shish develop after

cessation of flow.

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Chapter 4 53

time

0.20s

0.23s

0.27s

0.40s

0.10s

(110)shish

streak

WAXDSAXS

(110)

(110)

(040)(130)

Figure 4.4: SAXS and WAXD patterns during and just after flow at γ = 400 s−1. Flow timeis 0.25 s. The images acquired after flow are indicated by the time in red. Flowdirection is vertical.

t = 0.13s

t = 0.17s

t = 0.20s

t = 0.26s

t = 0.33s

t = 0.40s

streak

320s-1 for 0.25s560s-1 for 0.2s

Figure 4.5: SAXS patterns for flow rates of 560 s−1 and 320 s−1. The images acquired afterflow are indicated by the time in red. Flow direction is vertical.

The formation of shish may affect the rheological behavior of the material and, thus,

contributes to the deviation of △P from a melt-like behavior. The relation between the

onset of shish and △P is clarified by examining the experiment with wall shear rate

of γ = 400 s−1. In this experiment, the △P upturn time is ∼ 0.1 s, see Figure 4.6a.

As shown in Figure 4.6b, ISAXS initially fluctuates around 0.04 but then at ∼ 0.2 s,

with the onset of the streaks, starts a quick rise that continues after the cessation of flow.

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54 Chapter 4

0.0 0.1 0.2 0.3 0.40

150

300

450

600

750

time(s)

P (b

ar)

"upturn"

(a)

0.0 0.1 0.2 0.3 0.40.02

0.04

0.06

0.08

0.10

SAX

S eq

uato

rial i

nten

sity

(a.u

.)

time(s)

onset time

flow cessation

(b)

Figure 4.6: (a) △P evolution during flow and (b) SAXS equatorial intensity during and justafter flow. Lines are drawn to guide the eyes. The shear rate is 400 s−1 and theflow duration is 0.25 s.

Clearly, the time required to form an amount of shish sufficient to produce a

noticeable increase of ISAXS is longer than the time characterizing the △P upturn.

From this distinct difference in onset times it seems that the apparent viscosity rise

(averaged over the channel part between pressure transducers) does not result directly

from shish formation in the middle of the slit (X-ray observation window). Or precursors

for shish are the initial cause for the pressure upswing, or shish is first created at another

(upstream) location in the slit.

Figure 4.7a shows the evolution of the ISAXS for all shear conditions in the first second

(the beginning of flow is the reference time). For wall shear rates higher than the critical

value for viscosity upturn (between 160 and 240 s−1), ISAXS increases significantly due

to formation and “densification” of shish. This is illustrated by the equatorial streaks

in the 2D images (Figure 4.7b). To improve the signal-to-noise ratio, the patterns of

240 and 160 s−1 were averaged over ten frames (between 0.67 and 1 s). The slightly

higher intensity left and right of the beam stop for 160 s−1 are due to the beam itself;

they do not correspond to an equatorial SAXS streak signal.

It is clear that, just after flow, neither a viscosity upturn nor shish appearance is

found at the low shear rates of 80 and 160 s−1. However, the absence of a viscosity

rise and SAXS streaks cannot exclude the generation of precursor structures during

flow. Therefore, for these two weakest flows (wall shear rates of 80 and 160 s−1), we

show for prolonged isothermal crystallization the WAXD diffraction patterns at 1000 s,

see Figure 4.8. For both conditions, the (040) diffraction is mainly distributed at the

equator, implying that oriented crystals are formed and this orientation finds its origin

in oriented structures generated by flow. From this we conclude that precursors are also

generated by the weak flows and develop to some oriented nuclei, instead of shish.

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Chapter 4 55

0.0 0.2 0.4 0.6 0.8 1.0

0.0

0.1

0.2

0.3

0.4 560 s-1-0.20s 480 s-1-0.23s 400 s-1-0.25s 320 s-1-0.25s 240 s-1-0.25s 160 s-1-0.25s 80 s-1-0.25s

SA

XS

equ

ator

ial i

nten

sity

(a.u

.)

time (s)

(a) (b)

Figure 4.7: (a) SAXS equatorial intensity evolution during and just after flow and (b) 2DSAXS pattern at 1 s for different shear rates. Flow direction is vertical.

(040)

(a)

(040)

(b)

Figure 4.8: 2D WAXD patterns of isothermal crystallization at 1000 s after flow pulses atshear rate (a) 160 s−1 and (b) 80 s−1. Flow direction is vertical.

All results of the △P upturn time and the shish onset time are summarized in the

Figure 4.9. Both decrease with increasing shear rate. The SAXS streaks for a wall shear

rate of 240 s−1 do appear after flow but it is hard to determine the precise onset time

for these streaks. Based on Figure 4.9, it is concluded that structure development can

occur during or after flow, depending on the shear strength.

Summarizing above results, for the short flow conditions applied, a critical apparent

wall shear rate is found for the deviation of the rheology from the expected melt-like

behavior. For the iPP used in this work, this critical value lies between 160 and 240

s−1 at 145 ◦C. When shear rate is beyond this threshold, the viscosity rises during flow,

indicating that these short-term flows (0.20−0.25 s) are not short enough from the

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56 Chapter 4

0 100 200 300 400 500 600 700 8000.00

0.05

0.10

0.15

0.20

0.25

0.30

0.35

0.40

flow cessation

after flow

SAXS streak viscosity rise

time

(s)

shear rate (1/s)

during flow

Figure 4.9: Onset times for △P rise and occurrence of the SAXS streaks for different wallshear rates. The gray region indicates the flow period for these shear rates.Onset time for SAXS streaks at a shear rate of 240 s−1 can not be determinedaccurately.

rheological point of view. This viscosity rise is followed by a subsequent appearance

of shish in the middle of the slit where the SAXS is measured. This suggests that the

viscosity rise is caused by formation of shish or their precursors before actual scattering

objects are formed in the slit middle of observation window. However, the real delay time

between viscosity rise and shish formation is not exactly known since the location where

the structure formation occurs that corresponds to the viscosity rise is not necessarily

the centre of the slit where SAXS is measured. The delay time should be something

between 0 and 0.1 s. This is discussed further in the next section. Another shear rate

threshold is between 320 and 400 s−1 for which shish occur during flow. In that case,

the short durations are even not sufficiently short from a structural point of view.

4.4 Discussion

For short flows of 0.20−0.25 s, when the wall shear rate is strong enough (≥ 240

s−1) both, a viscosity rise and shish formation are observed. Comparison of rheological

and SAXS data shows that the viscosity rise and the shish formation are not observed

at the same time. Unexpectedly, the former is observed first. This implies that prior

to shish appearance in the middle of the slit, where the SAXS measurements are done,

some structures have already formed in the flow channel and they, behaving as physical

cross-links, increase locally the viscosity. The reason that these structures are not

observed with SAXS can be twofold: a) the contrast (or concentration) is too low, b)

structure formation is not homogeneous over the slit length and precursors may form

first upstream where the pressure is highest. Especially the latter implies that the

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Chapter 4 57

interpretation of the delay in occurrence of shish should be considered with caution.

No strong statements can be made about case a) unless we can exclude case b). In the

following we will first show that we cannot neglect the possibility of case b). Next we

will discuss the explanation for case a) should b) not the cause of the delay.

4.4.1 SAXS delay time

The choice of a slit geometry has the advantages of allowing for very high shear rates

and pressurizing the sample (preventing shrinkage holes) but, at the same time, brings

some complications. For high shear rates, also high pressure gradients will occur. High

pressures (107−108 Pa) will not only shift the equilibrium melting temperature, but

also will change the viscosity, the (flow induced) crystallization kinetics and, moreover,

compressibility can become important. The coupling between these variables is highly

non-linear. Only with a full numerical model [36–38] the interplay between all these

material functions can be investigated quantitatively. Here, we will discuss these issues

in a qualitative way only. For this purpose, the morphology of the sample subjected to

the flow with an apparent shear rate of 240 s−1 is examined along the flowing direction.

1 2 3 4 5

Figure 4.10: Optical microscopy pictures of cross-sections of samples along the flow directionfor an apparent shear rate of 240 s−1. The sample positions are illustratedby the top drawing and the corresponding images are viewed between twopolarizers at ±45◦. The scale bar is 0.2 mm.

An ex-situ micrograph of the structure distribution over the sample length is shown

in Figure 4.10. The variation in the thickness of the shear layer demonstrates that the

structure formation depends on the position in the flow direction. Position 1 is where

the polymer that is kept at a high temperature (220 ◦C) enters the test section of the

slit, i.e. T = 145 ◦C. The high temperature of the melt allows for molecular relaxation

and leads to a thin shear layer. On the other hand, the polymer at the positions 2−5

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58 Chapter 4

is at the set experimental temperature of 145 ◦C. In these positions there is indeed a

slight but clear gradient in the shear layer thickness going from high to low pressure

zone (i.e. going in the flow direction), see Figure 4.11.

-60 -40 -20 0 20 40 600.0

0.1

0.2

0.3

0.4

0.5th

ickn

ess o

f she

ar la

yer (

mm

)

distance from X-ray window (mm)

flow direction

Figure 4.11: The thickness of shear layer at various positions along the flow direction foran apparent shear rate of 240 s−1. The reference position is the observationwindow, before and after which positions are indicated by negative and positivenumbers, respectively.

How large the effect is in terms of the time difference cannot be determined from these

experiments but we can estimate the order of the differences of flow enhanced nucleation

and shish generation at different locations in the slit by using the characterization of

this grade given in van Erp’s work [30], where the flow enhanced nucleation rate and

the shish growth rate were determined for a range of temperatures, pressures and shear

histories. Only pressure differences are of importance until the pressure upswing occurs,

since temperature and flow history are practically the same for all locations 1−5. With

a pressure difference of 100 bar (estimated form the results in Figure 4.3a between the

centre and the upstream position 1 (see Figure 4.10) it can be estimated that the flow

induced nucleation rate might be slightly larger (20%), but the shish growth rate is

considerably enhanced (200%). From this we conclude that indeed structure formation

is not homogeneous over the slit length and shish will occur upstream first where the

pressure is highest.

A much stronger non-linear coupling between the viscosity rise and the flow enhanced

crystallization may happen for more severe flow conditions. The resulting morphology

distribution along the flow direction is shown for the extreme case (shear rate 560 s−1

and flow time 0.20 s) in Figure 4.12. Even for the three positions close to the middle,

2, 3 and 4, the gradient is clearly visible (average coverage of the shear layers: 92%,

87% and 84%). With a pressure difference of 200 bar for this case (see Figure 4.3),

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Chapter 4 59

flow induced nucleation rate and shish growth rate are increased by 40% and 900%,

respectively, i.e. the pressure effects are dramatically increased compared to the case

with a shear rate 240 s−1. Concluding, there definitely is an influence of the location

in the slit and structure formation most probably will occur first upstream. Again, this

coupling effect will not be quantitatively discussed here, since it is too complex without

simulation tools, which is out of the scope of this work.

1 2 3 4 5

Figure 4.12: Optical microscopy pictures of cross-sections of samples along the flow directionfor an apparent shear rate of 560 s−1. The sample positions are illustratedby the top drawing and the corresponding images are viewed between twopolarizers at ±45◦. The scale bar is 0.5 mm.

In the following we will discuss our results in terms of shish and precursors for

shish assuming a time difference between rheological changes and nucleation of shish

somewhere between 0 and 0.1 s.

4.4.2 Implications of the viscosity rise

Flow gradients can have remarkable effects on generating structures since they

effectively orient and stretch polymer chains. Due to stretch, iPP molecules

change their conformations to adapt to the increased segmental distance between

entanglements and form ordered units of 3/1 helices along the flow direction. [15, 39]

The molecular orientation and stretch increase the equilibrium melting temperature

providing additional thermodynamic driving force (under-cooling) for crystallization.

These parallel segments are similar to their arrangement state in the nuclei and crystals.

Thus the kinetic barrier of transforming the chain segments from random coils into

ordered structures is lowered. The consequence is the formation of locally ordered

aggregates, or precursors, which can be considered as the cradle for nuclei and/or

shish. It is hypothesized that due to the interactions between helices [39], the molecular

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60 Chapter 4

segments are restricted inside precursors and, as a consequence, the involved chains

cannot move freely as they do in entangled melts. Therefore, these precursors can act

as physical cross-links and slow down relaxation dynamics. [36] As precursors are being

generated continuously during flow, the very early stage of shear-induced crystallization

is a “cross-linking” process. Precursors can crystallize; this is the nucleation step. The

time between precursor formation and nucleation is unknown but should be (much) less

than 0.1 s. Once the density of precursors (and nuclei) is high enough, the resulting

increase in viscosity is sufficient for rheological observation; see Figure 4.3. The viscosity

rise in our results indicates a high concentration of precursors/nuclei generated by strong

flows (shear rates ≥ 240 s−1).

This cross-linking process during flow seems very similar to the physical gelation

process found in quiescent crystallization of iPP by Pogodina et al. [40, 41] However,

they found a crystallinity of around 1% at the gel point [40], whereas we did not observe

any crystallinity when viscosity starts to change. It should be noted that, in the work

of Pogodina et al. [40], low degrees of under-cooling (10-26K) were used for quiescent

crystallization for which the nucleation density is determined by temperature only. A

low under-cooling corresponds to relatively few nuclei and, therefore, the cross-linking

effect is too low to form a sufficiently dense network; gelation is not observed in the very

early stage of crystallization. However, with increasing crystallinity, more chains get

involved in the network until this is sufficient for observing a viscosity rise. So for low

under-cooling, large clusters (size of ∼ 1 µm [41]) and a crystallinity of ≈ 1% [40] are

required for achieving a sufficient network. Our case with strong flows is quite different;

a precursor/nuclei density increase of orders of magnitude is possible, and viscosity can

rise as a consequence of network formation without noticeable crystal formation.

The precursors formed under shear rates ≤ 160 s−1 (indicated by the appearance

of oriented crystals during isothermal crystallization) are too dilute (or weak) to rise

the viscosity during flow. Assuming that the specific “cross-linking” capability is the

same for different precursors, it is inferred that the precursor concentration is the major

difference. The case of low shear rates (≤ 160 s−1) is then more similar to quiescent

crystallization [40] in terms of absence of significant viscosity change; i.e. a relatively

low nucleation density and further crystallization is required to form a sufficient network

for a detectable change in the viscosity.

4.4.3 Conditions of the viscosity rise

Macroscopic flow is able to generate precursors for row nuclei or for shish. Molecular

stretch of the high molecular weight tail is the prerequisite for the creation of

precursors. [42] To illustrate the flow strength dependence of the structures formed,

two characteristic Weissenberg numbers are defined [43]: Wi0 = γτrep which is related

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Chapter 4 61

to molecular orientation, and Wis = γτRouse which is related to molecular stretch. τrepand τRouse are the reptation and Rouse time related to the high molecular weight tail,

respectively. At 145 ◦C, the relaxation times τrep and τRouse for the iPP used in this

work are 48 and 0.23 s, respectively. [18] The values of Weissenberg numbers for the

different flows are summarized in Table 4.1. Wi0 ≫ 103 while Wis > 10 for all shear

rates.

Table 4.1: Weissenberg numbers Wi0 and Wis for HMW tail at 145 ◦C

Apparent shear 80 160 240 320 400 480 560rate (s−1)

Wi0 3.8·103 2.7·103 11.5·103 15.4·103 19.2·103 23·103 26.9·103(orientation)

Wis 18.4 36.8 55.2 73.6 92 110 129(stretch)

This means that all shear rates applied can effectively orient the contour path

along the flow direction and stretch molecular segments to deviate from the rotational

isomerization corresponding to the equilibrium Gaussian configuration. [43] However,

rheological results in Figure 4.3a show that viscosity rise only occurs for γ ≥ 240 s−1.

This indicates that stretch of the HMW tail is the necessary but not a sufficient factor

for viscosity rise. [16,44] The HMW tail stretch should be above a critical value to start

the growth of fibrillar nuclei. [37] Since the Deborah number > 1 (De = relaxation time

/ shear time) for ts < 0.23 s, which is nearly the same as the max flow time, the long

chain deformations can be considered as affine during flow and the molecular stretch

scales with the macroscopic strain (= shear time × shear rate). The stretch values

obtained in this way are 20 and 40 for the shear rates of 80 and 160 s−1, respectively.

This would imply that the critical stretch at the wall is 40 or more. For shear rates

≥ 240 s−1 all stretch values are ≥ 60 but the stretch values obtained from the onset

time of the viscosity rise for these shear rates are 36, 38, 39, 35, 35. This matches quite

well with the critical value of 40 estimated from the shear rate of 160 s−1. Fibrillar

precursors are created for shear rates > 160 while for shear rates ≤ 160 s−1 this is not

the case due to the too short shear duration. Finally, the critical stretch value compares

surprisingly well with the critical value used by Custodio et al. [37] (critical stretch =

40). Although this does not mean that we should attribute too much meaning to the

exact value of the critical stretch, the results are quite consistent. If a critical stretch

is the criterion for the start of forming oriented shish precursors, it is questionable if a

work criterion as defined with Eq. 4.1 is applicable since most of the period for reaching

this value is transient.

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62 Chapter 4

4.5 Conclusions

The rheological and structural evolution during and after short-term flow of

0.20−0.25 s at 145 ◦C were studied for iPP. The rheological results show that viscosity

rises beyond the normal pressure overshoot for apparent shear rates ≥ 240 s−1, and

the onset time for this rise decreases with increasing shear rate. This viscosity rise

implies that these flows do not satisfy the basic requirement for a “short-term flow”,

i.e. that the polymer viscosity does change during flow. Therefore, for these cases, a

more advanced analysis is required. For example, these results can be combined with a

detailed model for flow induced crystallization including a fully characterized non-linear

viscoelastic model [36,37] from which the relaxation times are coupled to the structural

development.

X-ray measurements do not show simultaneous structure development with the

viscosity rise; the observation of shish is delayed, typically ∼ 0.1 s. The viscosity

rise may partially be explained by the creation of shish or precursors for shish that

act as physical cross-links. However, we can not be sure about the exact value of the

delay time; the influence of the pressure on the local values of rheological and kinetic

parameters will cause nucleation events to occur first upstream. Only a numerical model

can help to reveal this complex interaction. The development from precursors to shish

can occur during (γ ≥ 400 s−1) or after flow (400 > γ ≥ 240 s−1).

Shear rates (160 and 80 s−1) below the threshold also generate precursors which, due

to their low concentration, do not change the melt viscosity and develop into row nuclei.

These flows can be considered as “short-term shear flows”.

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Chapter five

The influence of flow induced

precursors and nuclei on

crystallization of isotactic

polypropylene

Abstract

By using ultra-fast WAXD and SAXS measurements we were able to explore shish

formation during and just after flow in a slit, within a short period of 1 s. Moreover, by

using two WAXD detectors with different acquisition rates we achieved a full track

of the entire crystallization process, from the start-up of flow up to completion of

crystallization. The flow duration is very short, max 0.25 s. The X-ray results show that

for apparent wall shear rates ≥ 400 s−1, shish appear during flow and that for apparent

wall shear rates at 320 and 240 s−1, shish precursors are generated during flow and

develop to shish after flow cessation. In contrast, no shish or shish precursors are found

for 160 and 80 s−1. Therefore, birefringence is applied for these two relatively weak

flows to probe potential shear-induced structures, where SAXS fails. The birefringence

measurements of 160 s−1 show an unusual rise during flow and a partial relaxation

after flow, implying a sort of long-lived oriented structures generated by flow. Neither

SAXS nor birefringence signals of precursors are observed for 80 s−1, but the subsequent

crystallization, observed with WAXD, does show accelerated kinetics and an oriented

morphology. These WAXD results demonstrate existence of oriented precursors which

This Chapter is based on: Zhe Ma, Luigi Balzano, Giuseppe Portale, Gerrit W. M. Peters. to be

submitted, 2012

65

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66 Chapter 5

are below the detection limitations of SAXS and birefringence. By combing results from

different characterization methods (SAXS, WAXD and birefringence) we can distinguish

between different shear-induced structures. They are classified into various types: shish,

shish precursors, threadlike precursors and needlelike precursors, according to whether

they can be detected by SAXS and/or birefringence.

Besides this detailed picture of the initial stages of flow induced nucleation, tracking

the entire structure evolution reveals further interesting issues on crystallization. Firstly,

daughter lamellae appear later than parent lamellae and the ratio between parent and

daughter lamellae can be varied by flow. Secondly, orientation of the initial shish is high

and lamellar orientation decreases with lateral growth. Finally, depending on the shear

strength, β-phase of iPP can be induced at the experimental temperature of 145 ◦C.

5.1 Introduction

For semi-crystalline polymers, the ultimate mechanical properties of end products

strongly depend on the crystalline structures formed, i.e. crystal modification,

degree of crystallinity, lamellar thickness, orientation, etc. According to the classical

crystallization theory, polymer crystallization is a two-step process: nucleation and

crystal growth. [1] To start polymer crystallization, stable nuclei are required.

Formation of stable nuclei follows the thermodynamic rule that the total Gibbs free

energy change from melt to nuclei, △G=Gnuclei–Gmelt, has to be negative. This free

energy change can be expressed as: △G=△Gb+△Gs, where △Gb is the bulk free energy

change (a negative value) and △Gs surface free energy change (a positive value) [1], i.e.

the nucleation process is determined by the competition between bulk and surface free

energy changes, of which the former should overcome the latter to generate stable nuclei.

In a pure polymer melt without foreign objects, the surface free energy is associated to

the sum of contribution of all surfaces, i.e. △Gs=ΣγA (with γ the specific surface energy

and A the corresponding surface area). In general, homogeneous nucleation requires a

large driving force, i.e. a sufficient under-cooling. [2, 3] However, in practice polymers

contain contaminates like catalyst residues. These foreign objects provide extra surface

and consequently lower the nucleation barrier (the change of free surface energy). This

heterogeneous nucleation occurs much easier (in terms of nucleation temperature and

nucleation rate) than the homogeneous case. Knowing the effective approach of utilizing

the foreign surface to lower the surface free energy change, addition of nucleating agents

is, therefore, frequently used to enhance nucleation and control optical properties (e.g.

transparency and color). Flow, on the other hand, affects crystallization in a different

way. From a thermodynamic point of view, the application of flow raises the free

energy, decreasing △Gb further and, therefore, promotes nucleation. Flow also induces

anisotropy to the final morphology, for example, the typical shish-kebab structure [4]

which consists of fibrillar core oriented along the flow direction (shish) with transverse,

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Chapter 5 67

periodically stacked lamellae (kebab). Shear-induced structures can be stable nuclei,

capable of initiating crystal growth, or “precursors” with a degree of ordering (positional

or/and orientational; intra- or/and inter- molecule) which can nucleate under sufficient

under-cooling or may relax in case of a relatively high temperature.

Considerable work has been devoted to the effects of various precursors/nuclei on

crystallization. Cavallo et al. [5] found that unstable “precursors for nucleation”

of isotactic polypropylene (iPP) disappear with time above the nominal melting

temperature. As a consequence, this relaxation of “precursors for nucleation”

results in reduced final orientation and slower crystallization kinetics. Similar, for

polyethylene (PE), relaxation of shear-induced precursors leads to a larger fraction of

twisted lamellae. [6] The threadlike precursors of a “shear-induced structure” found

by Kumaraswamy et al. [7], possess oriented molecular segments, detectable with

birefringence, which causes the appearance of a skin layer. Shear-induced “bundles”

that are densely packed and observable by SAXS can start crystallization in the vicinity

of the melting temperature [8, 9]. Moreover, shear is even able to determine crystal

modification, for example, shear-induced iPP α-row nuclei (by means of fiber-pulling)

can initiate the growth of the β-phase as well as the monoclinic α-phase. [10]

To explore flow-induced precursors/nuclei and their influences on crystallization,

the ideal experimental strategy should cover both the initial generation process

of precursors/nuclei (from start of flow) and the subsequent growth process (until

completion of crystallization). However, precursors/nuclei can form quite rapidly, e.g.

shorter than 1 second [11], which puts severe demands on the experimental methods

used. The first step is really a challenge, i.e. to achieve the in-situ tracking of

nuclei/precursors’ formation. Most of the previous studies focus on the crystallization

after cessation of flow and infer the formation and property of nuclei through the kinetics

and morphology of the resulting crystallization. In this chapter, we investigated the

rapid formation of structure in detail using synchrotron radiation X-ray with a high

time resolution. For sufficient high shear rates, the combined results of small angle

X-ray scattering (SAXS) and wide angle X-ray diffraction (WAXD) demonstrate that

crystalline shish form during a short flow time (0.20-0.25 s). Moreover, shish precursors

can be distinguished from shish; the former develop to shish after flow. However, no

structures are detected during and shortly after flow by X-ray for some relatively weak

flows, probably because the density contrast and crystalline order are not sufficient

or concentration is too low. Therefore, the more sensitive experimental method of

birefringence is utilized to probe structure development which is below the detection

limit of X-ray. Once precursors/nuclei are characterized, the next step is to explore how

the subsequent isothermal crystallization is affected by them.

The present work aims to clarify what kind of precursors/nuclei are generated for

various flow conditions and to bridge the gap between various nuclei and the resulting

crystallization process.

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68 Chapter 5

5.2 Experimental

5.2.1 Material

A commercial isotactic polypropylene (iPP, Borealis HD601CF) is used in this work.

Material properties are summarized in Table 5.1. The melting (Tm) and crystallization

(Tc) temperatures are measured using DSC at a heating/cooling rate of 10 ◦C/min,

sample weight: 3±0.5 mg.

Table 5.1: Properties of the isotactic polypropylene used.

Material Mw (kg/mol) Mw/Mn Tm(◦C) Tc(

◦C)iPP 365 5.4 163 113

5.2.2 Flow device

The flow device used in this work is a slit flow based on a multipass rheometer which

has been described elsewhere [6]. The sample is confined between two servo hydraulically

driven pistons in a slit with a cross-section, A, of 6mm×1.5mm (width, W × height,

H). To impose a shear field to the molten polymer the two pistons move simultaneously

in one direction. Two diamond windows are mounted in the middle section of the flow

cell allowing the passage of X-ray and laser light for in-situ characterization of structure

evolution during and after flow.

The sample was first heated and kept at 220 ◦C for 10 min in order to erase previous

thermo- and mechanical histories from sample preparation. Next, the sample was cooled

to 145 ◦C. All experiments were performed at this temperature. The applied piston

speeds, Vpiston, were 20, 40, 60, 80, 100, 120 and 140 mm/s. The apparent wall shear

rates are 80, 160, 240, 320, 400, 480 and 560 s−1, determined by γ = 6QWH2 [12] with the

volumetric flow rate Q = Vpiston × A. The flow time is fixed at 0.25 s for piston speeds

ranging from 20 to 100 mm/s, and shortened to 0.23 and 0.20 s for 120 and 140 mm/s,

respectively, due to limitation in the maximum piston displacement.

5.2.3 X-ray characterization

Wide angle X-ray diffraction (WAXD) and small angle X-ray scattering (SAXS)

were used to characterize the entire isothermal crystallization process, including the

period of flow. All measurements were performed at the Dutch-Belgian (DUBBLE)

beamline BM26B of the European Synchrotron Radiation Facility (ESRF) in Grenoble,

France. [13] The wavelength used was 1.033 A.

Two WAXD detectors (Pilatus and Frelon, see Figure 5.1) with different acquisition

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Chapter 5 69

rates and different pixel resolutions were used. The Pilatus (300K) detector has a high

acquisition rate mode of 30 frame/s, enabling the tracking of the structural evolution

during (0.20-0.25 s) and just after flow for a period of 2 s. After this period the Pilatus

detector was switched to the regular “slow” acquisition mode (exposure time of 4.9 s,

total acquisition time 5.7 s per frame) to follow the resulting isothermal crystallization.

This Pilatus (300K) detector has a resolution of 1472×195 pixels of 172µm×172µm.

The sample-to-detector distance was fixed at 0.240 m.

time

flow 0.2- 0.25s

2s

10s

fast

fast slow

slow

1000s

Frelon

WAXD

Pilatus

1s

fast slowSAXS

Figure 5.1: Structural evolution is measured by the combination of the Pilatus and FrelonX-ray detectors. The scheme shows how the detetors are used during differentperiods.

SAXS measurements were performed with a Pilatus (1M) detector (981×1043 pixels

of 172µm×172µm) placed at a distance of 7.117 m. For SAXS, the fast step was carried

out at an acquisition rate of 30 frame/s for 1 s and the slow step had an exposure period

of 5.7 s for the following isothermal process.

Figure 5.2a shows a typical WAXD pattern obtained with the Pilatus (300K)

detector. For the chosen distance, the azimuthal range of this detector is less than

90◦ for iPP α-phase. The diffractions in the equatorial region are related to the highly

oriented crystals including shish and parent lamellae. In order to explore other crystals

oriented along different directions, such as daughter lamellae, a WAXD azimuthal region

beyond a quarter is required. For this purpose, the Frelon detector was employed, which

has a resolution of 2048×2048 pixels of 48.8µm×48.8µm. The corresponding 2D Frelon

pattern is shown in Figure 5.2b. A full diffraction pattern can be obtained by using

symmetry considerations. The measurements with the Frelon detector also include a

fast and a slow period, see Figure 5.1. Since the maximum acquisition rate of Frelon

detector is 3 frame/s, one order slower than that of Pilatus, the Frelon fast step covers

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70 Chapter 5

(110)(040)

(a)

(110)(040)

(b)

(c)

parent

daughter

isotropic part

155o

192o

isotropicpart

azimuthal

angle

Figure 5.2: WAXD patterns obtained with (a) Pilatus detector and (b) Frelon detector.(c) Azimuthal scan of (110) diffraction of the Pilatus WAXD pattern at tc = 25s. Flow direction is vertical.

(110)(040)

(a)

(110)(040)

overlapped

(b)

(c)

Figure 5.3: WAXD patterns obtained with (a) Pilatus detector and (b) Frelon detector.(c) Integrated intensity versus scattering angle (2θ) of the Frelon WAXD patternat tc = 900 s. Flow direction is vertical.

the first 10 s (from start of flow) with an acquisition period of 0.33 s, including an

exposure time of 0.1 s, per frame. The slow step has an exposure time of 2 s and an

acquisition period of 4.5 s. The distance from sample to the Frelon detector is 0.228 m.

The combination of the ultra-fast Pilatus detector and the Frelon detector provides

the possibility to record crystallization from start-up of flow until completion of growth

for both parent and daughter lamellae.

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Chapter 5 71

In our results of shear-induced crystallization of iPP the monoclinic α-phase is the

dominant crystal modification (see Figure 5.2a and 5.2b). It is clear that the azimuthal

locations of the (110) plane diffractions can be in either the equatorial or the meridional

region. This is due to the different c-axes orientation in parent and daughter lamellae

with respect to the flow direction. Therefore, we use the azimuthal scan of the (110)

reflection to separate parent and daughter lamellae. On the other hand, parent and

daughter lamellae possess the same b-axis, so the equatorial (040) reflection without

the isotropic contribution, as shown in Figure 5.3b, demonstrates that only oriented

crystals are grown. Considering this, when we see the non-perfectly separated (110)

diffraction between parent and daughter lamellae, as shown in Figure 5.3b, we know that

overlapping intensities come from the broad azimuthal distribution of (110) parent and

daughter diffractions, instead of from isotropic crystals. Therefore, the (110) azimuthal

scan indeed can be used to quantify oriented parent and daughter lamellae.

To extract the signal of crystalline fraction from the total intensity which includes

contribution of amorphous phases as well, two methods are introduced in the following.

In the 2D WAXD pattern, the scattered intensity I(2θ, az) of a specific point is

associated to its two coordinate variables, scattering angle (2θ), and azimuthal angle

(az). This means that two types of one-dimensional (1D) integration curve can be

obtained. In our data analysis, the 1D intensity vs. azimuthal angle curve, see Figure

5.2c, is averaged over the scattering angle range between 9.29◦ and 9.51◦, and 1D

intensity vs. scattering angle curve, see Figure 5.3c, is averaged over a 90◦ azimuthal

range.

Method I: When the degree of crystal orientation is very high, usually due to a strong

flow or at the very beginning of crystallization, parent and daughter lamellae can be

easily distinguished by their distinct azimuthal (110) distributions, as shown by Figure

5.2b. In this case, the minimum intensity of (110) azimuthal scan (i.e. the intensity vs.

azimuthal angle curve), directly presents the amorphous contribution, see Figure 5.2c.

Method II: When the orientation is not high enough, the (110) diffractions might

be azimuthally so broad that 1) Pilatus detector is not able to acquire all equatorial

diffraction, see Figure 5.3a, or/and that 2) parent and daughter diffractions may overlap,

see Figure 5.3b. For either case, amorphous diffraction can not be determined from the

minimum value of (110) azimuthal scan, as done in Method I. Then, we use the intensity

vs. the scattering angle (I vs. 2θ) curve to estimate the amorphous contribution, since

from the only oriented (040) we know that all crystals are oriented.

Figure 5.3c shows the 1D intensity vs. scattering angle data including the crystalline

and amorphous contributions. After substracting air and detector backgrounds, the

diffraction of the amorphous fraction is scaled to fit the amorphous halo region, see

Figure 5.3c, and subtracted from the total scattering intensity to obtain the diffraction

signal of the (110) plane only. The (110) peak is fitted with a Lorentzian function to

Page 83: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

72 Chapter 5

verify the construction of the baseline of the amorphous phase. As stated before, the

azimuthal (110) scan is averaged over the 2θ range from 9.29◦ to 9.51◦. Then, for this

2θ region, the contribution of the amorphous fraction is equal to:

Iamorp

Itot=

∫ 9.51◦

9.29◦Iamorp(2θ) d2θ

∫ 9.51◦

9.29◦Itot(2θ) d2θ

(5.1)

Subtracting the amorphous baseline from the total intensity gives the distribution of

diffraction intensity with azimuth of (110) planes.

When the curves for the intensity of the oriented crystalline fraction vs. azimuth are

obtained, Lorentzian functions are used to fit parent and daughter lamellae together.

The fitting area, Area, and the full width at half maximum, FWHM, are measures

for the amount of crystals and the degree of orientation, respectively. Note that the

equatorial (110) diffraction is associated to highly oriented crystals that include both

crystalline shish and parent lamellae.

Since the two detectors have different resolutions, fitting area values, Areaequatorial110,

of frames at 25 s from these two detectors are used to determine the ratio between the

absolute intensity values.

5.2.4 Birefringence

laser

shear cell

1

2 3linear polarizer

aligned at 45o

polarizing beam splitter

aligned at -45o

D

D

Figure 5.4: Optical train used for birefringence characterization.

Figure 5.4 shows a schematic picture of the optical train used for the birefringence

characterization. We used a 2mW HeNe laser (wavelength = 633 nm) and two

photodiode detectors (Thor Labs Inc.) D‖ and D⊥ that read the intensity of parallel

(Iparallel) and crossed (Icrossed) light intensity, respectively. The sum of parallel and

crossed light intensity is the total intensity transmitted, Itot = Iparallel + Icrossed.

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Chapter 5 73

5.3 Results and Discussion

5.3.1 Flow-induced distinguishable nuclei/precursors

Table 5.2 summarizes the SAXS results for various flow conditions (scattering

patterns discussed in Chapter 4). The flow times are quite short, 0.20-0.25 s, and the

ultra-fast SAXS characterization covers 1 s in total, including the periods during and

just after flow. Clearly, structure formation depends on flow strength. Only when the

shear rate is beyond a critical shear rate (between 160 and 240 s−1) fibrillar structures

with sufficient density contrast (shish) are observed.

Furthermore, the time at which structures are observed first (by SAXS streaks)

depends on shear rate as well. Shish appear during flow for a shear rate ≥ 400 s−1. In

the case of moderate shear rates, i.e. for 400 s−1> shear rate ≥ 240 s−1, shish can be

observed only after cessation of flow. This post-flow observation of shish suggests that

the structures generated during flow are precursors for shish which develop into shish

later on.

Table 5.2: Flow conditions applied and the corresponding shish formation characterizedusing SAXS.

piston speed (mm/s) 140 120 100 80 60 40 20apparent wall shear rate (s−1) 560 480 400 320 240 160 80

flow time (s) 0.20 0.23 0.25 0.25 0.25 0.25 0.25

appearance of SAXS streaks within 1 sYes No

time of observing the first SAXS streaksduring shear after shear

0.17 0.20 0.23 0.33 < 1

SAXS equatorial streaks cannot be detected (within 1 s) for the relatively weak

flows of shear rate ≤ 160 s−1. The absence of SAXS equatorial streaks could be

due to the fact that the shear-induced structures, if any, have no sufficient density

contrast with their surrounding melt or that the concentration is too low to be detected.

The isothermal crystallization after flow is examined in order to indirectly explore

potential shear-induced precursors. Since quiescent crystallization needs over 1000 s to

become noticeable (data not shown), substantial appearance of an oriented crystalline

morphology during the first 1000 s has a two-folded meaning for these conditions (see

also Figure 4.8 in Chapter 4 and the next section). Such accelerated kinetics shows that

indeed precursors are generated by flow, although they are below the detection limit of

SAXS. The oriented feature of precursors induced by these conditions is demonstrated

by the resulting oriented morphology.

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74 Chapter 5

Therefore, birefringence was applied to characterize the orientation of shear-induced

precursors generated by the relatively weak flows (shear rate ≤ 160 s−1). In

birefringence, molecular orientation becomes manifested in Icrossed/Itot. Figure 5.5 shows

the birefringence evolution during flow (0.25 s) and after flow. By comparing the results

for shear rates of 80 and 160 s−1 it is observed that the melt behaves differently in both

periods, i.e. during and after flow. Figure 5.5a shows that Icrossed/Itot of shear at 80 s−1

first increases quickly and subsequently reaches a plateau. Immediately after cessation of

this flow (lasting 0.25 s), the birefringence signal Icrossed/Itot completely relaxes to zero.

In contrast, the birefringence signal Icrossed/Itot shows an additional increase instead of

reaching plateau during shear at 160 s−1, see inset Figure 5.5b. After flow cessation,

Icrossed/Itot decays to a nonzero value and rises again.

0 2 4 6 8 10

0.0

0.2

0.4

0.6

0.8

1.0

1.2

0.0 0.1 0.2 0.3 0.40.2

0.3

0.4

0.5

0.6

I cros

sed/I

tot

time(s)

flow time 0.25s

I cros

sed/I

tot

time(s)

(a)

0 2 4 6 8 10

0.0

0.2

0.4

0.6

0.8

1.0

1.2

0.0 0.1 0.2 0.3 0.40.5

0.6

0.7

0.8

0.9

I cros

sed/I

tot

time(s)

flow time 0.25s

I cros

sed/I

tot

time(s)

(b)

Figure 5.5: Birefringence during and after short-term (0.25 s) flows. Shear rate: (a) 80 s−1,(b) 160 s−1 at 145 ◦C.

In the case of flow at a shear rate of 80 s−1, the transient response on shearing and

cessation of flow (increase, steady-state plateau and complete relaxation) is the typical

nonlinear rheological behavior for polymer melts. [12] So far, birefringence and SAXS

results suggest that precursors generated by the flow at shear rate of 80 s−1 for 0.25 s,

possess a poor packing and orientation order. These precursors will be called “needlelike

precursors” in this work.

In contrast, for a shear rate of 160 s−1 the birefringence shows an unusual raise

during flow and only partial relaxation after cessation of flow. This demonstrates

the generation of some long-lived structure, invisible for SAXS but clearly reflected

in birefringence. Such oriented structures are denoted as “threadlike precursors” [7,14]

in this work. The combination of birefringence and SAXS distinguishes this “threadlike

precursors” from shish that has a density contrast with the surrounding melt and a

sufficient concentration for SAXS detection. Similar results for precursors were found

Page 86: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 5 75

by Fernandez-Ballester et al. [15] They employed simultaneous birefringence, SAXS

and WAXD, and found a sort of shear-induced precursor in iPP melt at 160 ◦C with

a birefringence “upturn” signal during flow and a nonzero low birefringence after flow,

without detectable SAXS or WAXD signal. In fact, the shear-induced precursor they

found is consistent with the “threadlike precursors” in our results.

Therefore, different flow-induced structures can be formed: shish, precursors for

shish, threadlike precursors and needlelike precursors, depending on the flow conditions.

By using a combination of SAXS, WAXD and birefringence we can distinguish between

these structures. Next, we explore how these precursors/nuclei affect the successive

crystallization. Moreover, by studying the resulting crystallization features (kinetics and

orientation), a better understanding on the “needlelike precursors” should be gained,

since direct characterizations by SAXS and birefringence fail.

5.3.2 Isothermal crystallization

The detailed study of the whole crystallization evolution is realized by combining

the Pilatus detector, aiming for a high time-resolved characterization during and

just after flow, and the Frelon detector to acquire 2D WAXD patterns covering the

azimuthal range beyond 90◦ during further isothermal crystallization. In this way, the

crystallization process can be fully tracked, from start-up of short-duration flow until the

end of the crystallization process. Specific crystallization aspects, including growth of

parent and daughter lamellae, orientation, and polymorphism are revealed and related

to the various precursors/nuclei generated by flow.

Kinetics affected by various precursors/nuclei

Shish (shear rate ≥ 400 s−1)

Figure 5.6 shows Pilatus WAXD patterns of the early stage, i.e. during and just after

the strongest flow applied (560 s−1 for 0.20 s). The first diffraction appears at 0.17 s, i.e

during flow, and belongs to (110) planes of monoclinic α-phase of iPP. Other diffraction

patterns, (040) and (130) of α-phase, are observed as crystallization further develops,

see Figure 5.6. When α-crystals are highly oriented along flow direction, diffractions of

the (111) and (-131) planes are in the off-axis direction rather than in the equatorial

region, so these diffractions were not observed by the Pilatus detector.

Remarkably, the time of the first WAXD appearance (0.17 s) is exactly the same as

for observing the first SAXS equatorial streaks, see Table 5.2 (and Figure 4.5 and 4.9 in

Chapter 4). This excellent agreement between SAXS and WAXD in terms of formation

time demonstrates that α-crystal shish are formed during flow of 560 s−1. The SAXS

results show that for shear rates ≥ 400 s−1 densely packed objects appear during flow

Page 87: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

76 Chapter 5

WAXD

(110)

time

0.17s

flow

cessation

(110)

(110)

(040)(130)

0.20s

0.27s

0.13s

Figure 5.6: Pilatus WAXD patterns during and after shear of 560 s−1 (shear time = 0.20 s).Flow direction is vertical.

and the present WAXD results reveal that these fibrillar structures correspond with

crystalline shish (data of 480 s−1 is not shown and that of 400 s−1 is shown in Figure 4.4

of Chapter 4). Shish crystals provide the ideal lattice-matching template to effectively

and efficiently initiate further crystallization (lamellar growth).

Figure 5.7 represents in a quantitative way the entire evolution of α-crystals of

both parent and daughter lamellae during and after the strongest flow. The equatorial

(110) intensity quickly starts rising during flow. After cessation of flow, the crystalline

structures continue to develop. The evolutions of the equatorial (110) diffractions of the

Pilatus and Frelon detectors overlap with each other. The agreement demonstrates the

success of this approach of combining two detectors to fully characterize the whole

crystallization process. The crystallization rate is so fast that nearly half of the

intensity level reached at a long crystallization time (around 800 s) is achieved within

10 s. The equatorial diffraction may have contributions from both shish crystals and

parent lamellae, and their contributions cannot be separated. Considering the fact that

the shear-induced shish crystals directly provide a perfect crystal lattice to nucleate

subsequent crystal growth and considering the fast evolution rate of equatorial (110)

diffraction, we qualitatively associate the first appearance of WAXD diffraction with

crystalline shish and relate the main of the following significant increase to the growth

of parent lamellae.

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Chapter 5 77

10s

6.7s

1.7s

daughter

lamellae

0.01 0.1 1 10 100 1000

0

5000

10000

15000

20000

25000

30000

35000Equatorial (110)-Pilatus-fast

Equatorial (110)-Pilatus-slow

Equatorial (110)-Frelon-fast

Equatorial (110)-Frelon-slow

Daughter (110)-Frelon-fast

Daughter (110)-Frelon-slow

Are

a 1

10 (

a.u.)

time(s)

flow

Figure 5.7: Time evolution of the area of equatorial and daughter (110) diffractions duringand after flow (560 s−1 for 0.20 s). Selected Frelon patterns are shown in theright column. Flow direction is vertical.

Daughter lamellae evolve differently from the parent lamellae; they appear later.

Figure 5.7 shows that parent lamellae have already grown significantly within the first

1.7 s, whereas daughter lamellae can not be observed yet. The first noticeable daughter

diffraction is detected at 3.3 s. Daughter lamellae are nucleated on the (010) lateral

surface of existing α-crystals due to homoepitaxy. [16] This means that the number of

nucleation sites for daughter lamellae depends on the amount of (010) surface from the

parent lamella. Although the parent lamellae develop significantly within the first 1.7 s,

the time is too short for generating sufficient nucleation sites and the daughter lamellae

nucleated, if any, have limited time to grow enough for detection. As crystallization

proceeds, the growing parent lamellae provide more lateral surface for nucleation and

the daughter lamellae initially nucleated grow further. At a later stage of crystallization,

daughter lamellae diffraction becomes comparable to parent diffraction.

Two other, relatively intensive flow conditions in which crystalline shish are generated

during flow are shear rates of 480 and 400 s−1 for 0.23 and 0.25 s, respectively. Figure

5.8 shows the time evolution of parent and daughter lamellae for these two flows. In

both cases the growth of parent lamellae is initiated by crystalline shish and this growth

continues after cessation of flow. Similarly, daughter lamellae appear later than parent

lamellae. Since daughter diffraction is initially very weak, each 5 frames of the Frelon

WAXD results in the fast acquisition period are added to get a better signal-noise ratio.

Considering the time-resolution of 1.7 s/frame, appearance of daughter lamellae is 3.3

s for shear rate of 480 s−1 and 6.7 s for shear rate of 400 s−1.

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78 Chapter 5

0.01 0.1 1 10 100 1000

0

5000

10000

15000

20000

25000

30000

35000 Equatorial (110)-Pilatus-fast Equatorial (110)-Pilatus-slow Equatorial (110)-Frelon-fast Equatorial (110)-Frelon-slow Daughter (110)-Frelon-fast Daughter (110)-Frelon-slow

Are

a 11

0 (a.u

.)

time(s)

flow (0.23s)

(a)

0.01 0.1 1 10 100 1000

0

5000

10000

15000

20000

25000

30000

35000

0.01 0.1 1

0

500

1000

1500

2000

Are

a 11

0 (a.u

.)

time(s)

0.25s

Equatorial (110)-Pilatus-fast Equatorial (110)-Pilatus-slow Equatorial (110)-Frelon-fast Equatorial (110)-Frelon-slow Daughter (110)-Frelon-fast Daughter (110)-Frelon-slow

Are

a 11

0 (a.u

.)

time(s)

flow (0.25s)

(b)

Figure 5.8: Time evolution of the area of equatorial and daughter (110) diffractions duringand after flow (a) shear rate = 480 s−1 and shear time = 0.23 s and (b) shearrate = 400 s−1 and shear time = 0.25 s.

These strong shear flows work similarly in generating crystalline shish. A difference

is found when comparing parent and daughter diffractions in the late crystallization

stage. As seen in Figure 5.7, for a shear rate of 560 s−1, after 800 s the (110)

diffraction of the daughter lamellae approaches a level comparable with that of

parent lamellae. Differently, Figure 5.8 shows that for 480 and 400 s−1, daughter

diffraction levels exceed that of the parent lamellae. It is found that decreasing the

shear rate from 560 to 400 s−1 changes the relative diffraction intensity between

parent and daughter lamellae. Note that for parent and daughter lamellae of iPP,

the Area110 ratio estimated from diffraction pattern is not equal to the real weight

ratio of crystals. [17] Applying geometrical correction [17] gives parent/daughter ratio

at tc=800 s of around 4.4 and 2.7 for 560 s−1 and 400 s−1, respectively. We will

not apply this correction further for our results, since it does not work well (for yet

unknown reasons) for the lower shear rates. Moreover, we are more interested in the

relative time scales rather than in absolute values. So the qualitative conclusion can

still be drawn that lowering the shear rate from 560 s−1 to 400 s−1 decreases the

parent/daughter ratio. For quiescent crystallization, the ratio between iPP parent and

daughter lamellae is a function of crystallization temperature. For the flow-induced

isothermal case, Fernandez-Ballester et al. [18] found that stronger flow can increase the

relative ratio between parent and daughter lamellae, which is consistent with our results.

Shish precursors (400 s−1 > shear rate ≥ 240 s−1)

When lowering the shear rate to 360 and 240 s−1, shish precursors are generated

instead of crystalline shish. These precursors develop into densely packed structures

upon cessation of flow. The crystallization after shearing at a rate of 320 s−1 for 0.25s

is considered as an example. Since no crystal diffractions appear during flow, these

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Chapter 5 79

WAXD

(110)

time

0.33s

flow cessation

at 0.25s

(110)

(110)

(040)(130)

1s

7.7s

0.26s

Figure 5.9: Pilatus WAXD patterns after flow of 320 s−1 (shear time = 0.25 s). Flowdirection is vertical.

10s

daughterlamellae

flow

0.01 0.1 1 10 100 1000

0

5000

10000

15000

20000

Equatorial (110)-Pilatus-fast

Equatorial (110)-Pilatus-slow

Equatorial (110)-Frelon-fast

Equatorial (110)-Frelon-slow

Daughter (110)-Frelon-fast

Daughter (110)-Frelon-slow

Are

a 110 (

a.u

.)

time(s)

flow (0.25s)

(a)

0.01 0.1 1 10 100 1000

0

2000

4000

6000

8000

10000

12000

Are

a1

10 (

a.u

.)

Equatorial (110)-Pilatus-slow

Equatorial (110)-Frelon-slow

Daughter (110)-Frelon-slow

time(s)

flow (0.25s)

7.8s

2s

flow

direction

(b)

Figure 5.10: Time evolution of area of equatorial and daughter (110) diffractions for differentflows (a) shear rate = 320 s−1 and (b) shear rate = 240 s−1, with the same sheartime of 0.25 s. Figure 5.10a inset image is tilted to make the weak diffractionpatterns more clear. The arrow shows flow direction. The initial diffraction forthe shear rate of 240 s−1 is too weak to quantify the start of crystallization.

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80 Chapter 5

frames are not shown. Figure 5.9 shows the WAXD results immediately after flow. No

crystal diffraction appears at 0.26 s (shear time is 0.25 s) and weak (110) diffraction is

observed at 0.33 s. The same holds for the onset time of SAXS streaks, see Table 5.2.

This indicates formation of crystalline shish after flow of 320 s−1.

The ability to distinguish between shish formation during and after flow is crucial

for understanding what is exactly generated by the flow. Most in-situ tracking on

crystallization is performed with acquisition periods which are in the order of seconds,

much longer than 0.033 s we achieved. In that case the exposure period covers not only

the flow duration but also some time after flow, and the structure that appears is very

often thought to be generated during flow. In fact, our results show that validity of

such interpretation depends on the flow conditions. Crystalline shish are indeed formed

during flow for shear rate between 400 and 560 s−1, while for 320 s−1 crystalline shish

actually appear after flow, which, in other words, means the structures generated during

flow are just shish precursors.

Moreover, for shear rates from 320 to 560 s−1, once the densely packed structures

are observed, they are crystal, irrespective of whether they appear during or after flow.

For 240 s−1, SAXS streaks are also observed within 1 s but SAXS and WAXD signals

are both too weak to precisely determine whether they appear at the same time.

The nucleation effectiveness of the shear-generated shish precursors are expected

to have similar impact on crystallization as shear-generated crystalline shish. Figure

5.10a shows the crystallization evolution after formation of shish precursors by a flow

at 320 s−1 for 0.25 s. Parent lamellae develop continuously after the occurrence of

shish. Daughter lamellae appear later, as also observed for stronger flow conditions.

Figure 5.10a shows that the amount of daughter lamellae is very little at the beginning.

However, daughter lamellae grow quite fast with time.

Threadlike precursors (shear rate = 160 s−1)

Further lowering the shear rate to 160 s−1 leads to the formation of “threadlike

precursors”. This is confirmed by the characteristic birefringence raise during flow

and the absence of SAXS equatorial streaks. Such threadlike precursors comprise

oriented molecular segments and can survive upon cessation of flow. In addition,

Figure 5.5b shows that the residual birefringence signal increases gradually during

subsequent isothermal crystallization. Thus, at 145 ◦C, the residual precursors will

develop into activated nuclei, called threadlike nuclei accordingly, and as a consequence,

start crystallization.

However, the WAXD results do not show any crystallization in the first 2 s (data not

shown). This is due to the low crystallization rate at the beginning, as also shown by

the little rise of birefringence within the initial 2 s in Figure 5.5b.

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Chapter 5 81

Figure 5.11a shows 1D WAXD evolution of isothermal crystallization for “threadlike

precursors”. Results show that the first weak (110) diffraction is observed at 7.8 s and

rises as crystallization proceeds. Although threadlike precursors are not crystals that

provide exactly matched substrates, they are able to effectively trigger crystallization

at 145 ◦C. It is imagined that the stretched and oriented segments arrange into local

ordered aggregations and subsequently promote nucleation. In addition, Figure 5.11b

shows that WAXD (110) and (040) diffractions mainly locate in the equatorial direction,

implying high degree of crystal orientation. The anisotropic growth of crystallization

confirms the orientation of these “threadlike precursors”. Our results indicate that a

shear rate of 160 s−1 generates “threadlike precursors”, which develop into stable nuclei

to accelerate crystallization kinetics and orient the resulting crystalline structures.

8 9 10 11 12

600

800

1000

1200

1400

1600

1800

amorphous phase

1000s

(040)(110)

Inte

nsi

ty (

a.u.)

2 (o)

7.8s

(a)

(110)

(040)

(b)Figure 5.11: (a) 1D WAXD evolution during isothermal crystallization after flow of 160 s−1

(shear time = 0.25 s) and (b) 2D WAXD pattern at a crystallization time of13.5 s. Flow direction is vertical.

It is interesting to find these threadlike precursors, which are birefringence visible

but below the limitation of X-ray characterizations (SAXS and WAXD). When

X-ray technique is used only, revealing threadlike precursors depends on whether

crystallization can be triggered, i.e. the degree of undercooling. When the experimental

temperature is relatively low, undercooling is sufficient to trigger crystallization and,

consequently, make the effect of these flow-induced precursors detectable, as shown

by our results at 145 ◦C. Without crystallization, these threadlike precursors can not

be observed but might survive for long time. For example, Fernandez-Ballester et

al. [15] found that “oriented precursors” (the same structure indicated by “threadlike

precursors” in this work) can survive as long as 20 min at 160 ◦C. In this case, cooling

can activate these surviving precursors and thus influence subsequent crystallization.

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82 Chapter 5

Needlelike precursors (shear rate = 80 s−1)

Neither X-ray nor birefringence measurements show structure formation during flow

for a shear rate of 80 s−1 for 0.25 s. When these direct methods fail in probing

shear-induced precursors/nuclei, the subsequent crystallization can be used to indirectly

explore the consequences of this flow.

The isothermal crystallization process at 145 ◦C after the weakest flow applied (80

s−1 for 0.25 s) is shown in Figure 5.12a. Observable (040) and (110) diffractions show

up at a crystallization time of around 200 s. Previous rheological measurements on the

same iPP find that even at a 140 ◦C (lower than the 145 ◦C used in this work), quiescent

crystallization takes more than 1000 s to be detected. The much faster crystallization

kinetics after flow implies the formation of extra nuclei. The nucleation density is lower

than that for other stronger flows, so it takes much more time to form a sufficient

amount of crystals for detection.

8 9 10 11 12

600

800

1000

1200

1400

1600

(040)(110)

Inte

nsi

ty (

a.u

.)

2 (o)

1000s

7.8s

200s

(a) (b)

Figure 5.12: (a) 1D WAXD evolution during isothermal crystallization after flow of 80 s−1

(shear time = 0.25 s) and (b) 2D WAXD pattern at a crystallization time of1000 s. Flow direction is vertical.

In addition, the crystallization orientation is studied by looking at the (040)

diffraction which was shared by the oriented parent and daughter lamellae with the

same b-axis. Figure 5.12b shows that the (040) diffraction of crystallization at 1000

s is located in the equatorial direction, implying the shear-induced nuclei are indeed

oriented, although they are not reflected in birefringence. Another issue we want to point

out is the absence of isotropic (040) diffraction in Figure 5.12b. The low orientation

in the late stage is due to the low orientation of nuclei and lamellar curving and

twisting during lateral growth [17], which excludes the possibility of a mixed morphology

comprising of highly oriented lamellae and isotropic spherulites. These nuclei must be

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Chapter 5 83

related to some precursors generated by flow.

In conclusion, one more “kind” of oriented precursors is found, which is neither

visible for X-ray nor for birefringence. In this work, such precursors are denoted

as “needlelike precursors” to differentiate them from shish (observed with X-ray)

and threadlike precursors (observed with birefringence). Actually, these needlelike

precursors which are below X-ray and birefringence but are able to ultimately nucleate

oriented crystallization, were hidden in the results of Kumaraswamy’s systematical

study on flow-induced iPP crystallization. [7, 14] For the material “PP-300/6” used by

Kumaraswamy et al., the “oriented structures” indicated by the birefringence “upturn”

signal, similar to “threadlike precursors” in our results, only appear under intense flows,

i.e. for 0.06 MPa the shear time has to be larger than 4 s (for 0.03 MPa a flow time up

to 16 s is insufficient). [7] On the other hand, their X-ray results [14] show that oriented

crystallization occurs for the flow conditions of 0.06 MPa for 2 s and 0.03 MPa for 2 s,

which are actually weaker than the above mentioned threshold for forming birefringence

detectable “oriented structures” [7].

Crystal orientation

Shear-induced structures provide not only nucleating sites but also orientation

templates for crystal growth. The influences of the different nuclei on orientation are

explored as well. The FWHM values, based on equatorial (110) diffractions, indicating

the orientation degree of crystals affected by various flows and their time evolutions are

shown in Figure 5.13.

For shear rates of 320-560 s−1, crystallization orientation starts with a similar low

FWHM value of around 4◦. At the very beginning, crystal growth strictly follows the

orientation of nuclei/precursors, so the initial small FWHM reflects the high orientation

of shish nuclei/precursors generated under these conditions, i.e. shear rates of 320-560

s−1. For a lower shear rate of 240 s−1, the equatorial (110) diffraction is too weak in the

beginning (period of 2 s) to accurately determine the FWHM evolution. However, the

equatorial (110) diffraction is quite narrow azimuthally, see the 2D pattern of Figure

5.10b inset-2s, and qualitatively demonstrates the strong orientation of generated shish

precursors.

Therefore, it is found that shish and shish precursors all possess a high orientation

with respect to the flow direction. Moreover, crystallization after a flow (160 s−1 and

0.25 s) is first observed at 7.8 s, rather than during the initial 2 s. The FWHM of early

crystallization is also very small, around 6◦ at 7.8 s. This indicates that threadlike

precursors are also highly oriented, which is consistent with the birefringence signal

shown in Figure 5.5b.

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84 Chapter 5

0.1 1 10 100 10000

5

10

15

20 240s

-1 (0.25s) -- Pilatus

240s-1

(0.25s)-- Frelon

320s-1

(0.25s)-- Pilatus

320s-1

(0.25s)-- Frelon

400s-1

(0.25s)-- Pilatus

400s-1

(0.25s)-- Frelon

480s-1

(0.23s)-- Pilatus

480s-1

(0.23s)-- Frelon

560s-1

(0.20s)-- Pilatus

560s-1

(0.20s)-- Frelon

FW

HM

equ

ato

ria

l 11

0 (

o)

time (s)

50 100 150 2000

10

20

30

Inte

nsi

ty (

a.u

.)

azimuthal angle (o)

50 100 150 2000

10

20

30

Inte

nsi

ty (

a.u

.)

azimuthal angle (o)

(a) (b)

(c)

Figure 5.13: (a) FWHM evolution of equatorial (110) diffraction during crystallization afterflows at shear rates from 240 s−1 to 560 s−1. The azimuthal distribution of(110) diffraction after crystallizing for 1000 s after flows at shear rates of (b)80 s−1 and (c) 160 s−1.

Figure 5.13a also shows that the orientation decreases (indicated by increase of

FWHM) as crystallization proceeds. This is due to imperfect lamellar growth: curving

and twisting. [17] It is clear that final FWHM values for the two strongest flows are

still very low, i.e. around 6◦. For shear rates of 400, 320 and 240 s−1 (the same flow

time 0.25 s), the FWHM reaches various orientation levels of ≈9.6◦, ≈11◦, ≈14.5◦,

respectively. Figure 5.13b and 5.13c show the overlapping diffraction of parent and

daughter lamellae at t=1000 s for the relatively weak flows (80 and 160 s−1 for 0.25 s).

Their final FWHM values are around 50◦ and 40◦, although the latter starts with a high

orientation level. Therefore, the orientation of the ultimate structure depends on both

the orientation of initial nuclei/precursors and on the evolution during crystallization

where the contribution of curving and twisting depends on the available lateral space for

growth, which is associated to the nucleation density. For a higher nucleation density,

the average distance between neighboring nuclei is smaller leaving less space for lateral

growth and, consequently, less room for change in lamellar orientation, while in case of a

low nucleation density the orientation may decrease dramatically because of significantly

curving and twisting during the imperfect lamellar growth. Cavallo et al. [5] found

that when starting with the same oriented nuclei, the final crystallization orientation

decreases with reduction of nuclei density due to the relaxation. Notice that in our

results, the orientation is averaged over all interior layers experienced with various flow

histories, so the final orientation is determined by the corresponding average nuclei

density.

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Chapter 5 85

Crystallization polymorphism: β-phase

As a polymorphous polymer, sheared iPP melt may crystallize into various crystal

modifications, i.e. the α-, β- and γ-phase. In this section, the influence of flow strength

on crystallization polymorphism is discussed for this specific temperature of 145 ◦C.

Figure 5.14 shows the WAXD results for different flows. The longer crystallization

times were chosen to present results after flow at lower shear rates to compensate for the

slower kinetics and thus lower crystallinity levels. The substantial (110) and (040) peaks

of iPP α-phase appear for all flow conditions. Differently, the weak (300) diffraction

related to the β-phase, can be distinguished only for shear rates from 240 to 560 s−1,

while for shear rates of 160 and 80 s−1 it was not observed, even after crystallizing for

1000 s. The formation of β-crystals thus depends on the flow conditions.

8 9 10 11 12

320s-1

560s-1

Inte

nsi

ty (

a.u.)

2 (o)

240s-1

160s-1

80s-1

400s-1

480s-1

8 9 10 11 12

80s-1

160s-1

2 (o)

240s-1

(300)

(040)

(110)

Figure 5.14: 1D WAXD curves at different crystallization times after varying flow strength,in terms of apparent shear rates: 560 s−1(at 48 s), 480 s−1(at 48 s), 400 s−1(at500 s), 320 s−1(at 500 s), 240 s−1(at 500 s), 160 s−1(at 1000 s), 80 s−1(at 1000s). The crystallization temperature is 145 ◦C.

Varga et al. [10, 19] used fiber pulling to shear a polymer melt and found that the

shear-induced α-row nuclei can nucleate β-crystals. When the growth rate of β-crystals

is larger than that of α-crystals, typically in a temperature range between 105 and

140 ◦C, the resulting crystalline structure can be polymorphous and consists of mainly

β-crystals based on the α-phase core. [10] Somani et al. [20] found that, at 140 ◦C,

the amount of β-crystal depends on the shear rate for a fixed strain and can go up

to 65%-70% of the total crystallinity. It was suggested that the growth of β-crystals is

associated with the total surface area of oriented α-crystals. Therefore, in our isothermal

crystallization at 145 ◦C, the substantial growth of parent lamellae of α-crystals is

sufficient to nucleate β-crystals. The much lower intensity of (300) diffraction compared

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86 Chapter 5

to those of (110) and (040) diffractions, qualitatively indicates that the total amount of

β-crystals formed is very little.

The orientation of the β-crystals formed is explored as well. To quantify the degree of

orientation, the FWHM values of β-crystal (300) diffraction are determined and shown

in Figure 5.15. It can be seen that all FWHM values are less than 13◦ and slightly

decrease with increasing shear rate. Clearly, for all flow conditions applied in this study

the β-crystals are oriented even after long-term crystallization for 500 s. This is different

from the observations of Somani et al. [20] and Chen et al. [21] that initially occurring

β-crystals are oriented and the further spontaneous growth without any preferential

orientation leads to an oriented-to-isotropic transformation. The appearance of oriented

β-crystals in our work can be explained from the growth point of view.

160 240 320 400 480 560 6400

5

10

15

20

FW

HM

(30

0) (

o)

apparent shear rate (s-1)

30o

(300)

Figure 5.15: FWHM of azimuthal (300) diffraction at the crystallization time of 500 s afterdifferent flows. Inset is the WAXD image for 480 s−1 after crystallization for500 s. Flow direction is vertical.

It is known that α-crystals and β-crystals both can be nucleated by the same α-crystal

assemblies (e.g. α-row nuclei) and these two phases are growing in competition. [10,19]

At 145 ◦C the growth rate of α-crystal is faster than that of β-crystal. [22] In this

case, continuous growth of β-crystals might be suppressed by the growth of α-crystals.

For example, oriented nuclei initiate dense appearance of α-crystals and β-crystals

and both develop outwards. Initially, α- and β-lamellae are growing in parallel and

perpendicular to the flow direction because of spatial confinement along the nuclei

orientation direction. However, with crystallization, the faster growing front of α-

crystals can exceed to that of β-crystals and, may grow into the potential space for their

neighboring β-crystals. The initial grown β-crystals are oriented and soon stopped by

α-crystals. Therefore, the fraction of β-crystals is little and keeps a high orientation, as

shown in our results.

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Chapter 5 87

When the crystallization temperature is between 105 and 140 ◦C, where growth rate

of α-crystals is slower than β-crystals, Varga et al. [10] found that β-crystals can be the

dominant crystal. Moreover, van Erp et al. [23] found the prevailing γ-crystals in Ziegler-

Natta iPP homopolymer crystallization with shear and a mild pressure (maximum 1200

bar), instead of α- or β-crystals. This is due to a similar kinetic reason that high

crystallization temperature and pressure result in the faster growth rate of γ-crystals

than for α-crystals. [24]

5.4 Conclusions

We utilized WAXD, SAXS, and birefringence to explore the development of shear-

induced structures in iPP starting from the beginning of their creation. Depending on

the flow strength, oriented precursors or nuclei are generated that differ in terms of their

detection level. For strong enough flow, shish were detected during short term flow (0.20-

0.25 s) by means of WAXD/SAXS. Birefringence is used to measure the early stages

of flow induced structures which were below the detection limitation of WAXD/SAXS.

They are also investigated indirectly by measuring the resulting crystallization (faster

kinetics and oriented morphology). The upturn in the birefringence during flow and

the non-zero relaxation after flow demonstrates that “threadlike precursors” are formed

during flow at 160 s−1 for 0.25 s; they have sufficient orientation to be observable by

birefringence. In contrast, “needlelike precursors” that are generated by the flow at 80

s−1 for 0.25 s possess a too low density and orientation to be detected by birefringence.

By combining two different WAXD detectors (Pilatus and Frelon) the entire

crystallization during and after flow could be tracked. It is found that parent

lamellae are directly nucleated on shish formed during flow or developed from

precursors for shish, while “threadlike precursors” and “needlelike precursors” need

time to start crystallization. Daughter lamellae show up later than parent lamellae

and the parent/daughter ratio depends on the flow strength. In the early stages

the crystallization orientation follows the high orientation of nuclei. With further

crystallization, imperfect growth (curving and twisting) of lamellae will decrease the

orientation. This effect is stronger for lower average nuclei concentration. It is also

found that both shish and precursors for shish can induce appearance of β-phase of

iPP.

References

[1] B. Wunderlich. Macromolecular Physics, Vol 2: Crystal Nucleation, Gorwth, Annealing.

Academic Press, New York, 1976.

[2] M. V. Massa and K Dalnoki-Veress. Phys. Rev. Lett. 92:255509, 2004.

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88 Chapter 5

[3] L. Kailas, C. Vasilev, J-N. Audinot, H-N. Migeon, and J. K. Hobbs. Macromolecules 40(20):7223–

7230, 2007.

[4] B. S. Hsiao, L. Yang, R. H. Somani, C. Avila-Orta, and L. Zhu. Physical Review Letters

94(11):117802, 2005.

[5] D. Cavallo, F. Azzurri, L. Balzano, S. S. Funari, and G. C. Alfonso. Macromolecules 43(22):9394–

9400, 2010.

[6] Z. Ma, L. Balzano, and G. W. M. Peters. Macromolecules 45(10):4216–4224, 2012.

[7] G. Kumaraswamy, A. M. Issaian, and J. A. Kornfield. Macromolecules 32(22):7537–7547, 1999.

[8] L. Balzano, S. Rastogi, and G. W. M. Peters. Macromolecules 44(8):2926–2933, 2011.

[9] L. Balzano, D. Cavallo, T. B. van Erp, Z. Ma, J. W. Housmans, L. Fernandez-Ballester, and

G. W. M. Peters. IOP Conf. Series: Materials Science and Engineering 14:01200, 2010.

[10] J. Varga and J. Karger-Kocsis. Journal of Polymer Science: Part B: Polymer Physics 34:657–670,

1996.

[11] L. G. Balzano, S. Rastogi, and G. W. M. Peters. Macromolecules 42(6):2088–2092, 2009.

[12] C. W Macosko. Rheology, principles, measurements and application. Wiley-VCH, New York,

1994.

[13] W. Bras, I. P. Dolbnya, D. Detollenaere, R. van Tol, M. Malfois, G. N. Greaves, A. J. Ryan, and

E. Heeley. Journal of Applied Crystallography 36:791–794, 2003.

[14] G. Kumaraswamy, R. K. Verma, J. A. Kornfield, F. Yeh, and B. S. Hsiao. Macromolecules

37(24):9005–9017, 2004.

[15] L. Fernandez-Ballester, T. Gough, F. Meneau, W. Bras, F. Ania, J. C. Francisco, and J. A.

Kornfield. Journal of Synchrotron Radiation 15:185–190, 2008.

[16] B. Lotz and J. C. Wittmann. Journal of Polymer Science Part B: Polymer Physics 24(7):1541–

1558, 1986.

[17] D. M. Dean, L. Rebenfeld, R. A. Register, and B. S. Hsiao. Journal of Materials Science

33(19):4797–4812, 1998.

[18] L. Fernandez-Ballester, D. W. Thurman, and J. A. Kornfield. Journal of Rheology 53(5):1229–

1254, 2009.

[19] J. Varga and J. Karger-Kocsis. Polymer 36:4877–4881, 1995.

[20] R. H. Somani, B. S. Hsiao, A. Nogales, H. Fruitwala, S. Srinivas, and A. H. Tsou. Macromolecules

34(17):5902–5909, 2001.

[21] Y. Chen, Y. Mao, Z. Li, and B. S. Hsiao. Macromolecules 43(16):6760–6771, 2010.

[22] T. B. van Erp. Structure development and mechanical performance of polypropylene. Ph.D. thesis,

Eindhoven University of Technology, Eindhoven, The Netherlands, 2012.

[23] T. B. van Erp, L. Balzano, and G. W. M. Peters. ACS Macro Letters 1(5):618–622, 2012.

[24] M. van Drongelen, T. B. van Erp, and G. W. M. Peters. Polymer 53:4758–4769, 2012.

Page 100: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter six

High-stress shear induced

crystallization in isotactic

polypropylene and

propylene/ethylene random

copolymers

Abstract

Crystallization of an isotactic polypropylene (iPP) homopolymer and two

propylene/ethylene random copolymers (RACO), induced by high-shear stress, was

studied using in-situ synchrotron wide-angle X-ray diffraction (WAXD) at 137 ◦C. The

“depth sectioning” method was applied in order to isolate the contributions of different

layers in the stress gradient direction and to relate specific structural evolution to the

corresponding local stress. This approach gives quantitative results in terms of the

specific length of fibrillar nuclei as a function of the applied stress. As expected,

crystallization becomes faster with increasing stress−from the inner to the outer

layer−for all three materials. Stress-induced crystallization in a RACO with 7.3 mol%

ethylene content was triggered at only 1 ◦C below its nominal melting temperature. The

comparison of iPP and RACO’s with 3.4 and 7.3 mol% ethylene monomer reveals the

effect of ethylene defects on high-shear stress induced crystallization at 137 ◦C. It is

This chapter is based on : Zhe Ma, Lucia Fernandez-Ballester, Dario Cavallo, Gerrit W. M. Peters.to be submitted, 2012

89

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90 Chapter 6

found that, for a given applied stress, the specific nuclei length that forms during flow

increases with ethylene content, which is attributed to a greater high molecular weight

tail. However, the linear growth rate is significantly reduced by the presence of ethylene

comonomers and it is found that this effect dominates the overall crystallization kinetics.

Finally, a time lag is found between development of parent lamellae and the emergence

of daughter lamellae, consistent with the concept of daughter lamellae nucleated by

homoepitaxy on the lateral faces of existing parent lamellae.

6.1 Introduction

Semi-crystalline polymers are usually processed from their molten state and subjected

to intense shear or/and elongation flows. Such flow fields not only accelerate

crystallization kinetics, which shortens the processing time, but can also change the

morphology from isotropic spherulites to highly oriented shish-kebabs [1–3] and, as a

consequence, determine the ultimate properties. Therefore, understanding the interplay

between strong flow fields and the resulting structures is of importance for designing

processing procedures to tailor these ultimate properties of products.

Considerable work [4–7] has been devoted to this topic in the past half century. Many

researchers have focused on the relation between shear flow and polymer crystallization,

because shear fields are easily created with rotational [3] or sliding [8, 9] plate-plate

devices, on rotational rheometers [10,11] and in pressure-driven slit flows [12,13]. They

are typically combined with time-resolved characterization techniques like mechanical

spectrometry [10, 11, 14], light scattering [15, 16], birefringence [13], X-ray scattering

[7, 17, 18] and Fourier Transform Infrared Spectroscopy [9, 19, 20]. Significant progress

has been made in understanding some of the fundamental issues in shear-induced

crystallization [4–7], while others remain unknown. Particularly, the knowledge of

crystallization under high shear rate and stress, close to realistic processing conditions,

is still limited. The need of such information is becoming urgent in order to improve

the latest simulation models, since the results of numerical predictions of, for example,

injection molding [21], have to be validated and further refined with experimental

evidence.

Imposing a strong shear flow at chosen high shear rate or stress under well-defined

conditions requires a specially designed flow device. Both the pressure-driven slit flow

apparatus constructed by Janeschitz-Kriegl et al. [12] and improved by Kornfield et

al. [13], and the piston-driven slit rheometer developed by Mackley et al. [22] and

modified by Peters and coworkers [23, 24] can operate in the high stress region (in the

order of 0.1 MPa) and are easily combined with time-resolved birefringence [23, 25]

or/and X-ray scattering [26–29]. The drawback of these channel devices is the non-

homogeneous shear stress distribution over the thickness [30] and, consequently, any

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Chapter 6 91

observation in the shear gradient direction represents an average over the thickness

of the sample. To solve this problem, Fernandez-Ballester et al. recently proposed

and verified the “depth sectioning” method [29], which takes advantage of the linear

variation of shear stress over the thickness, from a maximum and known shear stress

at the wall to zero at the center of the rectangular channel. This method separates the

contributions from specific layers by performing a series of experiments with varying

wall stress but fixed shearing time.

In this chapter, the pressure-driven flow device [13] and the “depth sectioning”

method [29] are combined to quantitatively study polymer crystallization induced by

high shear stress. An isotactic polypropylene (iPP) and two propylene/ethylene random

copolymers with various ethylene monomer contents are studied and compared to reveal

the effect of molecular architecture. Recent studies found that adding ethylene monomer

to the propylene chain can improve transparency, relative softness and low-temperature

impact strength [31–33]. Also, it has been found that the presence of ethylene monomer

along the polypropylene chain disturbs the chain regularity and, consequently, decreases

polymer crystallization ability [33–35], e.g. decreases crystallinity and linear growth rate

and, moreover, induces the formation of the orthorhombic γ-phase [35, 36]. However,

the effects above have mostly been studied for quiescent crystallization, or under a

rheometric flow [34] unable to impose high shear stresses similar to those typically

encountered in processing conditions. Here, we focus on the influence of the presence of

defects in the molecular architecture on shear-induced crystallization under high stress.

Moreover, we show the importance of the high molecular weight tail on the effect of

flow-induced crystallization.

6.2 Experimental

6.2.1 Materials

The materials used are an isotactic polypropylene (Borealis HD234CF) and

two propylene/ethylene random copolymers (Borealis RD204CF and RD208CF),

polymerized using Ziegler-Natta type catalysts. All three materials have very similar

weight average molecular mass Mw ≈ 310 kg/mol and a polydispersity of Mw/Mn ≈ 3.4,

but they vary in their ethylene content between 0 – 7.3 mol%. Their molecular and

physical properties [34] are summarized in Table 6.1. In this study, the homopolymer

is denoted as “iPP” while the copolymers are denoted as “RACO3” and “RACO7”,

according to their respective ethylene content in mol%.

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92 Chapter 6

Table 6.1: Molecular and physical properties of iPP homopolymer and ethylene/propylenerandom copolymers.

Polymer GradeEthylene content

Xc(%) Tm(◦C)(a) Tc(

◦C)(a)FTIR (wt%) NMR (mol%)

iPP HD234CF 0 0 48.3 159 110RACO3 RD204CF 2.2 3.4 42.3 147 105RACO7 RD208CF 4.9 7.3 34.4 138 98(a) Measurements were performed under a heating and cooling rate of 10 ◦C/min

6.2.2 Flow device

Flow-induced crystallization experiments were carried out in a pressure-driven flow

cell designed by Kumaraswamy et al. [13] The flow cell, described previously [13,25,29],

has a shear slit with a rectangular cross-section of 6.35 mm (width)× 0.5 mm (thickness)

and a channel length of 63.5 mm. It is equipped with two diamond windows mounted

flush on the slit channel which allow the passage of an X-ray beam through the thickness

of the sample for in-situ measurements. The experimental protocol is as follows: First,

the material in the slit is heated to 215 ◦C and kept at this temperature for 5 min to

erase all thermal and mechanical history. Next, the relaxed melt is cooled to the desired

crystallization temperature T = 137 ◦C. Once the sample is stabilized at 137 ◦C, a shear

pulse is imposed on the molten polymer at a specific value of wall stress (0.11, 0.103,

0.091 and 0.079 MPa) for a fixed duration of 2 s. The sample is held at 137 ◦C after the

shear pulse and the progress of crystallization under isothermal conditions is monitored

by acquiring X-ray diffraction patterns. Then, the depth sectioning method [29] is used

on the diffraction patterns to isolate the structural information from various layers and

relate this to the local stress (see section 6.3).

6.2.3 X-ray characterization

Time-resolved wide-angle X-ray diffraction (WAXD) characterization was carried out

at the BM26B (DUBBLE) beamline at the European Synchrotron Radiation Facility.

[37] The wavelength used was 1.22 A. Two-dimensional (2D) images were recorded with

a Frelon detector with a resolution of 1024 × 1024 pixels of 97.6µm × 97.6µm. The

sample-to-detector distance was 157 mm. The incoming beam intensity was measured

with an ionization chamber to correct for changes in the primary beam intensity. The

data acquisition time was 15 s per image. The shear pulse lasting 2 s was applied

at the beginning of the acquisition of the first diffraction image. Therefore, this first

image combines the information of 2 s of shear and of the subsequent 13 s of isothermal

crystallization, and is noted as corresponding to a crystallization time of 13 s.

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Chapter 6 93

6.2.4 Optical microscopy

The linear growth rates were measured by following quiescent melt-crystallization

using a Leica DMLP polarized optical microscope equipped with a 20× objective lens.

The microscope was coupled with a Linkam CSS450 stage to enable a careful control of

the thermal history while acquiring optical micrographs with a dedicated digital video-

camera. The samples were initially loaded in the cell as a pellet, melted and compressed

into a film of approximately 20µm thick by moving the stage plates gently towards

each other. The polymer films were annealed for 5 minutes at 210 ◦C and then cooled

to the selected crystallization temperatures at 30 ◦C/min. Optical micrographs were

taken during the isothermal crystallization, with adequate time-resolution. Spherulitic

growth rate was determined by measuring the evolution of the spherulites diameter over

time, by means of an image analysis software. The reported values of growth rate are

the results averaged over three measurements and the reproducibility was within ±3%.

6.3 Depth sectioning method

The depth sectioning method [29] uses the linear relationship between layer depth

from the wall and shear stress to separate the local structure in a specific layer, which

is a pre-requisite to reveal the relation between the shear history and the structural

evolution. For slit flow, the shear stress varies linearly along the channel thickness

direction from zero in the center to maximum at walls (see Figure 6.1). Because X-

rays propagate through the whole sample along the thickness direction, i.e. the stress

gradient direction, the acquired X-ray patterns correspond to the total diffraction from

all layers. In order to apply the depth sectioning method and separate the diffraction

signal corresponding to a specific sample layer, a set of experiments is performed at

different wall shear stresses while keeping all other parameters fixed (e.g., temperature,

shear duration, crystallization time).

Consider an experiment in which a wall shear stress of σmax is applied and for which

the corresponding scattering X-ray signal is Iσmax

tot (see Figure 6.1). For this experiment,

the shear stress σd at a specific depth d with respect to the nearest wall is given by

σd = σmax × (1− d

D) (6.1)

where D corresponds to half the channel thickness, 250µm. According to the depth

sectioning method [29], the contribution of the scattering signal arising from the interior

portion, between centerline D and boundary depth d in such experiment using wall

stress σmax, Iσmax

D−d , can be determined by performing another experiment in which the

wall shear stress of σd is imposed and by subsequently rescaling the obtained scattering

signal (Iσd

tot) by the stress ratio, i.e. Iσmax

D−d = Iσd

tot × σd

σmax.

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94 Chapter 6

max

inner outerd dI

X-ray

wall

wall

center

outer

max

inner

max

totImax

outerD dImax

innerD dI

outerdinnerd

250D md

max2 totI

Figure 6.1: Schematic of the linear relationship between the layer depth with respect to thewall, d and its local stress, σd.

Figure 6.1 shows that each specific layer has two boundaries, douter and dinner, with

corresponding stresses, σouter and σinner, respectively. According to the depth sectioning

method [29], the contribution to scattering of the layer located between douter and dinner(Iσmax

dinner−douter) to the intensity measured for an experiment where a wall stress σmax is

imposed (Iσmax

tot ), can be determined by:

Iσmax

dinner−douter= Iσmax

D−douter− Iσmax

D−dinner= Iσouter

tot × σouter

σmax− Iσinner

tot × σinner

σmax(6.2)

in which Iσouter

tot and Iσinner

tot correspond to half of the total intensity signals obtained

from two separated experiments using prescribed wall stresses of σouter and σinner ,

respectively, calculated according to Eq. 6.1.

A series of experiments with wall stresses of 0.11, 0.103, 0.091, 0.079 MPa were carried

out to isolate four layers at depths of 0−16 µm (L1), 16−43 µm (L2), 43−70 µm (L3)

and 70 − 250 µm (L4) from the wall. An example of depth-sectioned patterns for iPP

after 88 s of isothermal crystallization is shown in Figure 6.2. Due to the relatively high

stress, crystallization develops fast in the outer layers L1 and L2, where L1 has a higher

orientation. The core part experiences lowest stress, so in the L4 layer the polymer is

still mainly in the amorphous state after 88 s.

In order to enable the comparison of crystallization between different layers, the

depth sectioned intensities are further normalized by the thickness of each layer △d =

douter − dinner. The amount of parent lamellae can be extracted by fitting the azimuthal

scan of the (110) diffraction arising from oriented crystals [29] after subtraction of the

isotropic part calculated from the (040) diffraction and after geometrical correction [38].

As an example, the results for layer L1 are given in Figure 6.3. The (110) diffraction

Page 106: Flow induced crystallization of polymers : precursors and nucleiFlow induced crystallization of polymers: Precursors and Nuclei / by Zhe Ma. Technische Universiteit Eindhoven, 2012.

Chapter 6 95

L4: 70-250 µmL3: 43-70 µmL2: 16-43 µmL1: 0-16 µm

0.11-0.103 MPa 0.103-0.091 MPa 0.091-0.079 MPa 0.079-0 MPa

Figure 6.2: 2D depth-sectioned diffraction patterns (top row) corresponding to thecrystallization of specific layers (bottom row) in iPP at t = 88 s after a wallshear pulse of 0.11 MPa and 2 s. The layer depths and corresponding boundarystresses are indicated. Flow is along the horizontal direction.

area and full width at half maximum (FWHM) from the parent and daughter lamellae

can be determined; they are relative measures of the amount of crystals and degree of

orientation for the parent and daughter lamellae, respectively.

0 90 180 270 360

daughter lamellae

parent lamellae

Inte

nsity

(a.u

.)

azimuthal angle (o)

FWHM

Figure 6.3: Azimuthal scan of the oriented (110) diffraction of iPP at t = 88 s for the L1layer after thickness normalization and geometrical correction. The solid linecorresponds to the Lorentzian fittings.

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96 Chapter 6

6.4 Results and Discussion

The depth sectioned X-ray patterns are first used to examine the influence of shear

stress on the crystallization kinetics and orientation of each of the three materials; the

homopolymer (iPP) and two random copolymers (RACO3 and RACO7). Next, the

crystallization kinetics of these three different polymers is compared at a specific level

of shear stress to reveal the effect of the macromolecular architecture, i.e. copolymer

content, on crystallization.

6.4.1 iPP homopolymer

Prior to flow, the diffraction pattern of the iPP shows only an isotropic broad ring

(data not shown), irrespective of the layer, i.e. application of depth sectioning. This is

consistent with the undeformed amorphous melt with no crystallinity and no orientation.

Selected 2D WAXD depth sectioned patterns during shear and following isothermal

crystallization of the iPP for various layers are shown in Figure 6.4.

43s 208s13s 28s

(110)

parent

(110)

daughter

L1

13s 28s 43s 208s

L2

13s 28s 43s

L3

208s

(040)

(110)

daughter

(110)

parent

(110)

Figure 6.4: WAXD depth-sectioned patterns of isothermal iPP crystallization at 137 ◦C fora wall shear stress of 0.11 MPa for 2 s. The positions and corresponding stressesof layer L1 (top row), L2 (middle row) and L3 (bottom row) are illustrated byFigure 6.2. The flow direction is horizontal.

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Chapter 6 97

The results clearly show that stress has a remarkable influence on triggering

crystallization. The different layers, from L1 to L3, exhibit various crystallization

behaviors because of the decreasing local stress. Figure 6.4-L1 presents the structural

evolution in the outermost layer L1, subjected to the highest stress range 0.11-0.103

MPa. A pair of clear arc-like diffractions emerge quickly after flow at a scattering

vector of q = 10.0 nm−1 in the vertical direction perpendicular to shear (Figure 6.4-

L1-13s). These WAXD diffraction arcs correspond to the (110) diffraction plane [39]

of monoclinic α-phase in iPP, which indicates that the oriented α-phase forms quickly

after shear and that the c-axis aligns along the flow direction in the so-called parent

lamellae. Differently, crystallization under lower shear stresses in the L2 and L3 layer

is more sluggish and requires a longer time, ∼ 28 s, to form detectable parent crystals

(Figure 6.4-L2 and L3). Likewise, in the two outermost layers L1 and L2, daughter

lamellae, also described as lamellar branches at an angle of 80◦ to a specific parent

lamellar surface [40], are already observed at 28 s as two pairs of (110) diffraction arcs

located close to the meridian (Figure 6.4-L1-28s and L2-28s). In contrast, for the L3

layer, daughter lamellae only appear at later times (43 s).

It should be noticed that only the α-phase appears in the 2D diffraction patterns.

Although some studies have observed the emergence of dominant β-phase crystals in

shear-induced iPP crystallization, [41,42] the appearance of only α-phase in our results

is consistent with previous studies [27,29] that found only or predominantly α-phase as

a result of shear-induced crystallization.

The results in Figure 6.4 indicate that the imposition of a shear pulse generates

nuclei which can significantly speed up crystallization kinetics and orient the crystal

morphology [12,18,43]. At 137 ◦C, quiescent crystallization of iPP is too slow to generate

any detectable structure within 400 s (data not shown), and only isotropic crystallites

would ultimately form. In contrast, 208 s after the imposition of flow, the diffractions

patterns for the L1 layer are quite narrow in the azimuthally direction (see Figure 6.4L1-

208s) implying that crystal morphology in the layer that was subjected to the highest

stress range is highly oriented. For the inner layers subjected to lower levels of shear

stress, however, the orientation of structures is qualitatively lower at 208 s. Therefore,

depth-sectioned WAXD images qualitatively show that stress has a significant influence

on the start and evolution of crystallization, which is quantitatively analyzed below.

Next, a quantitative evolution of the amount of crystals and the degree of orientation

is extracted from the area and FWHM of the azimuthal (110) peak corresponding to

the parent lamellae, see Figure 6.5a and b. Irrespective of the layer considered, parent

lamellae grow rapidly in the early stage and then reach a shoulder, after which they

either halt their growth or they continue to grow at a much slower rate. Knowing

that the growth is stopped by the impingement of the growth fronts of the parent

lamellae, a shorter time to reach this shoulder must relate to less space between

neighboring nuclei. Therefore, more nuclei are generated in the outer layer by the

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98 Chapter 6

0 200 400 600 800 1000 12000

1x105

2x105

3x105

4x105

5x105

6x105

L3

L2

L1

time(s)

Are

a P.1

10 (a

.u.)

(a)

0 200 400 600 800 1000 12000

10

20

30

time(s)

FWH

M (o )

L3

L2

L1

(b)

Figure 6.5: Evolution of (a) area and (b) FWHM of parent (110) diffraction in iPPisothermal crystallization in different layers. Layer positions and theircorresponding stresses are illustrated by Figure 6.2.

higher stress [29]. Interestingly, the crystallization in the L1 layer not only shows the

fastest kinetics at the early stages, but it also has the highest value when it reaches

the shoulder. The larger value results from the combined effect of flow-enhanced

crystallization and parent/daughter lamellae ratio when crystallization is completed,

as found by Fernandez-Ballester et al. [29] that the relative ratio between parent and

daughter lamellae is higher in the outer layer than in the inner layers of lower stress.

Shear-induced nuclei are known to template the oriented growth of parent lamellae

in the early stage. The orientation of parent lamellae was illustrated by the FWHM

of the parent (110) diffraction, see Figure 6.5b. Lower FWHM values refer to a higher

average lamellar orientation. The initial FWHM in the L1 layer is the lowest, around

6◦, but the larger ones in the L2 and L3 layers are quite similar (≈ 9◦) in the first short

period of tens of seconds. These low FWHM values in the initial stage of crystallization

suggest that nuclei generated at various stress levels have a high orientation. This result

is consistent with the observation of Fernandez-Ballester et al. [29], where crystallites

induced by the three strongest conditions all show very high and similar degrees of

orientation at the beginning (see Figure 9b in ref [29]).

As crystallization proceeds, the change in the orientation becomes more pronounced

for the inner layers with lower shear stress. For the highest stress range of 0.11-0.103

MPa the FWHM stays nearly constant during the observation period, whereas those for

0.103-0.091 and 0.091-0.079 MPa vary from 9◦ to 12◦ and from 9◦ to 19◦, respectively.

The change in the orientation indicates that lamellar growth does not strictly follow

that of the nuclei or initially grown lamellae because of occurrence of lamellar curving

and twisting during lateral growth. [38] This orientation variation depends on the space

between neighboring nuclei. When nuclei density is smaller, there is more space between

nuclei for lateral growth during which the possibility to curve increases leading to the

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Chapter 6 99

reduction of orientation [29, 44]. Therefore, orientation evolution shows that the L3

layer has the least nuclei, which is consistent with the results of Area evolution.

6.4.2 Propylene/ethylene random copolymers

Only three out of the four wall shear stresses for the homopolymer were imposed on

the random copolymers (0.11, 0.103, and 0.091 MPa). For the random copolymers, the

crystallization at a wall stress of 0.091 MPa was quite sluggish, so the stress was not

lowered further to 0.079 MPa. Therefore, the innermost layer of random copolymers

(named L3+L4, see Figure 6.6) should be compared to the sum of the two individual

L3 and L4 layers in iPP. Note that at the same experimental temperature Texp, iPP

and random copolymers have different undercooling △T = T 0m − Texp, where T 0

m is the

equilibrium melting temperature, because the addition of ethylene monomer decreases

the equilibrium melting temperature T 0m [34]. Accordingly, the lamellar linear growth

rate under quiescent conditions decreases with the increase of ethylene content (see

section 6.4.3).

13s 28s 73s

13s 103s 208s 703s

L1

L2

208s 13s 28s 73s qqI

(110)

daughter

13s 28s 103s 208s

L3+4

Figure 6.6: WAXD depth-sectioned patterns of isothermal RACO3 crystallization at 137 ◦Cfor a wall shear stress of 0.11 MPa for 2 s. The positions and stresses of layer L1(top row), L2 (middle row) and L3+4 (bottom row) are illustrated by Figure 6.2.The flow direction is horizontal. Images are tilted to make the weak diffractionpatterns more clear.

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100 Chapter 6

Figure 6.6 shows a representative series of depth-sectioned WAXD patterns for

RACO3. The influence of stress is also found to be significant for RACO3: in the

outermost L1 layer, some oriented crystallites can already be observed within the first

13 s after imposing the shear pulse, while in the inner L2 and L3+4 layers, crystallites

can only be detected after 28 s and 103 s, respectively. The faster kinetics in the outer

layer indicates that, as for iPP, increasing applied shear stress induces more nuclei also

for RACO3. Compared with iPP, the crystallization of RACO3 in the L1 and L2 layer

starts at the same time (13 s and 28 s, respectively), but in the L3+4 layer it is much

slower than for iPP in the L3 layer (see Figure 6.4L3-28s and Figure 6.6L3+4-103s).

Interestingly, all layers of RACO3 show a time lag between the development of

parent and daughter lamellae. For instance, in the L1 layer, RACO3 parent lamellae

development is pronounced from 13 to 28 s, while no daughter lamellae are observed at

all at 28 s. Similarly, for low stresses (shown by Figure 6.6L2-28s and Figure 6.6L3+4-

103s) the first crystals that develop after flow belong to parent lamellae only. This

growth lag between different lamellae is not specific for RACO3; it is also observed

for iPP in the L3 layer (Figure 6.4L3-28s) and for RACO7 in the L1 layer (data not

shown). In fact, this time lag is consistent with the mechanism of initiation of parent

and daughter lamellae: Parent lamellae are templated from shear-induced nuclei while

daughter lamellae are nucleated by the homoepitaxy on the lateral (010) faces of existing

parent lamellae with monoclinic α-modification [40]. In other words, daughter lamellae

need parent lamellae to initiate the second-generation growth.

0 200 400 600 800 1000 12000

1x105

2x105

3x105

4x105

5x105

6x105

10 100 1000

0.0

5.0x103

1.0x104

1.5x104

L3+4

L3+4

L1

L2

time(s)

Are

a P.1

10 (a

.u.)

(a)

0 200 400 600 800 1000 12000

10

20

30

L2

L1

time(s)

FWH

M (o )

(b)

Figure 6.7: Evolution of (a) area and (b) FWHM of parent (110) diffraction in RACO3during shear and isothermal crystallization. Layer positions and theircorresponding stresses are illustrated by Figure 6.2.

RACO3 orientation evolution is shown in Figure 6.7b. Layers L1 and L2 have a

quite similar orientation at the beginning but develop differently with time. This is

qualitatively consistent with the difference in nuclei density in the different layers; again,

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Chapter 6 101

the larger space between neighboring nuclei allows for curving and twisting resulting in

a lower orientation (a larger FWHM value).

For an ethylene content of 7.3 mol% in RACO7, the nominal melting temperature

decreases to 138 ◦C. Quiescent crystallization will not be detected at the experimental

temperature of 137 ◦C, since this is just 1 ◦C lower than its nominal melting temperature

and, as a consequence, the quiescent nucleation density and the linear growth rate are

both very small. However, crystallization of RACO7 in L1 layer proceeds immediately

after flow and for the L2 layer, some crystallites become observable at ∼ 200 s (Figure

6.8a), providing a clear example of the effect of shear stress on crystallization even in

the vicinity of the nominal melting temperature. The linear growth rate is the same

as under quiescent conditions, so the accelerated rate of oriented crystallization results

from the abundant oriented nuclei generated by the high shear stresses applied.

0 200 400 600 800 1000 12000

1x105

2x105

3x105

4x105

5x105

6x105

L2

L1

Are

a P.1

10 (a

.u.)

time(s)

(040)

(040)

L3+4 (1003s)

flow

(a)

0 200 400 600 800 1000 12000

10

20

30

L1

FWH

M (o )

time(s)

(b)

Figure 6.8: Evolution of (a) area and (b) FWHM of parent (110) diffraction in RACO7during shear and isothermal crystallization. Inset is the WAXD image forRACO7 after crystallization for 1003 s. Layer positions and their correspondingstresses are illustrated by Figure 6.2.

Comparing with iPP and RACO3, the time at which crystallization can first

be detected for RACO7 is similar in L1 but much slower in L2 and L3. During

crystallization, FWHM varies from ∼5◦ to ∼8◦, see Figure 6.8b. Interestingly, the

slow RACO7 crystallization in L1 layer is comparable to that of iPP in L3 layer, but

the orientation in RACO7 is much higher.

Based on above results, a qualitative conclusion can be drawn that for each of the

three materials: the number of nuclei formed increases with applied shear stress, i.e.

from the inner to the outer layers. For a given material, the comparison is simple

because the quiescent growth rate of lamellae is fixed. However, polymers with various

ethylene contents have different quiescent growth rates which affect the crystallization

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102 Chapter 6

kinetics. Therefore, to quantitatively study the effects of stress and ethylene content

on polymer crystallization, the kinetic model [45–48] is used to estimate the amount of

oriented nuclei formed by shear in the different materials below.

6.4.3 Quantification of nuclei

In the Kolmogorov−Avrami−Evans model [45–48], the progress of space filling in

time,Φ(t), can be described by the expression:

Φ(t) = 1− exp(−kGmtn) (6.3)

where k is the factor involving the nuclei density, G the linear growth rate, m the

exponent indicating the growth dimension (1, 2 or 3-directional) and n the nucleation

mechanism (sporadic, n = m + 1 or predetermined, n = m). For shear-induced

crystallization, the number of nuclei is fixed prior to growth and does not increase with

space filling, so the exponent number n equals the growth dimension m. In the present

work, oriented nuclei are dominant and space is mainly filled by the lamellar growth that

develops perpendicular to these nuclei. Structural “perfection” (e.g. lamellar perfection,

branching and thickening) behind the growth front is not taken into account for space

filling. Therefore, we assume that the space filling Φ(t) is directly proportional to the

development of the parent lamellae diffraction A(t). With this assumption, space filling

can be obtained by:

Φ(t) = (A(t)− A0)/(A∞ −A0) (6.4)

where A0 is the (110) diffraction area at t = 0 that is caused by flow, and A∞ the

shoulder (110) diffraction area when space filling is completed. Since the first data point

for the L1 layer is obtained after flow and nonzero, it contains information concerning

both the 2s of shear and the 13s of isothermal crystallization, A0 cannot be determined

directly for all L1 layer cases. On the other hand, for most of the results in the L1 layer,

after crystallizing for 13 s, A0 is still very low with respective to the shoulder value, so

the contribution of A0 to space filling is negligible and will be assumed to be 0 in the

calculation of space filling. Therefore, space filling can be assessed by Φ(t) = A(t)A∞

.

Assuming that the linear growth rateG is constant in time, the crystallization kinetics

is examined by plotting the rewritten form of Eq. 6.3 (see Figure 6.9):

ln{−ln[1− Φ(t)]} = nln(t) + ln(kGm) (6.5)

The fitted exponent n are all in the range 1.6−2 (n = 2 is for ideal 2D growth with

predetermined nuclei) while all initial slopes are nearly 2. Therefore, the theoretical

integer exponent n = 2 will be used for the assessment of nucleation density. The

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Chapter 6 103

2 3 4 5 6 7

-4

-2

0

2

iPP_L1 iPP_L2 iPP_L3 RACO3_L1 RACO3_L2 RACO7_L1

Ln(-Ln

(1-))

Ln(t)

2

Figure 6.9: Avrami plots of space filling evolution for different materials in various layers.

description of 2-dimensional growth reads [49]:

Φ(t) = 1− exp(−πlNG2t2) (6.6)

where l is the long period of stacked lamellae, N is the number of lamellae and total

length of nuclei per volume, L, can be easily derived from the time for filling half space,

t1/2:

l ×N = L =ln2

π(G× t1/2)2(6.7)

Note that for the random copolymers the addition of ethylene leads to defects in the

regular polypropylene chain and, consequently, decreases the crystallization ability and

the linear growth rate G.

120 130 140 150 1600.0

0.5

1.0

1.5

2.0

2.5

3.0 iPP RACO3 RACO7

Log(G/(n

m/s))

temperature (oC)

Figure 6.10: Open points are measured growth rates and solid lines represent linear fittings.

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104 Chapter 6

Table 6.2: Fitting parameters and the estimated growth rates at 137 ◦C.

y=a+b×T a b growth rate at 137 ◦C (nm/s)iPP 12.17 0.079 24.5

RACO3 12.24 0.085 4.4RACO7 11.15 0.079 2.1

The quiescent growth rates for the three materials at different temperatures are

plotted in Figure 6.10. Because the measured temperature range is limited, a linear

function [50] (Log(G) vs. T ) is used to estimate growth rates at 137◦C, obtaining 24.5,

4.4 and 2.1 nm/s for iPP, RACO3 and RACO7, respectively. All fitting parameters are

listed in Table 6.2. The growth rate of RACO7 at 137◦C was estimated by extrapolating

experimental results, since 137◦C is too high to measure the quiescent growth rate.

Using these growth rate values, we calculated the estimated lengths of the oriented

nuclei per volume given in Table 6.3.

Table 6.3: Total length per volume (L) of oriented nuclei calculated for iPP, RACO3 andRACO7 for different layers.

Total length per volumeiPP (×1011) RACO3 (×1011) RACO7 (×1011)

of oriented nuclei (m/m3)L1 5.3 34 69L1 2.8 8.9 –L3 0.26 – –

For each material, the estimated nuclei length per volume of nuclei increases with

increasing stress, i.e. from the inner to the outer layers, consistent with the trend of

faster overall crystallization in the outer layers. In iPP, the nuclei length per volume

generated by the highest levels of stress is in the order of 1011 m/m3 (Table 6.3).

Knowing that the normal long period of iPP is typically tens of nanometers [51], the

number of lamellae growing directly on the oriented nuclei should be in the order of

1019 1/m3. One could think of each lamella to be nucleated from a single nucleus site

(stress generated) which would imply a much larger number than the shear-induced

nuclei density of ∼ 1016 1/m3 in previous studies [52]. Such high nuclei density is

usually approached by adding an efficient nucleating agent [53].

For random copolymers, the high stresses of 0.11 and 0.103 MPa are able to trigger

significant crystallization for a small degree of undercooling, particularly for RACO7,

since the experimental crystallization temperature is just 1 ◦C below its nominal melting

temperature. This effect is comparable with that observed for iPP when stresses between

0.08−0.19 MPa are imposed at 165 ◦C, 2 ◦C above its nominal melting temperature. [28]

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Chapter 6 105

Therefore, for high enough stress (around 0.1 MPa for RACO7), polymer crystallization

can be initiated even in the vicinity of the nominal melting temperature.

It is surprising to see that, for identical flow conditions, the higher regularity of the

chains of iPP, i.e. higher crystallization ability, does not imply a higher total length

per volume of oriented nuclei L (Table 6.3). Notice that the long period of stacked

lamellae (independent of shear) and nuclei density N (dependent on shear) together

determine the total length of oriented nuclei per volume L = l×N . One could suggest

that the difference in the long period for the three materials leads to the varying total

length of oriented nuclei. However, Hosier et al. [51] used AFM and found that the

long period at 110 ◦C will decrease with addition of ethylene defects. Based on their

data, the estimated long periods of our materials at 110 ◦C change from ∼20 nm for

iPP to ∼15 and ∼10 nm for random copolymer with 3.4 mol% and 7.3 mol% ethylene

monomer, respectively. Even though the long period at 137 ◦C might be different from

the above numbers for 110 ◦C, it still can be concluded that the lower total nuclei length

for iPP is not caused by its larger long period, because the long period, l, decreases

with increase of ethylene content and results in a larger difference in nucleation number

density, N = L/l.

The influence of the stress history on crystallization is determined by the response

of a polymer at the molecular level, i.e. the molecular stretch [21]. As described

by the nucleation and growth model [21], the total length of nuclei is determined by

both continuous generation of new nuclei N and the growth L of these nuclei during

shear. The nucleation rate depends on the stretch ΛHMW of high molecular tail and

the longitudinal growth rate on the average molecular stretch ΛAVG. Therefore, the

high molecular tail and average stretch are playing different roles in increasing the

amount of oriented nuclei. For a pressure-driven flow device used in the present work,

imposing the same shear stress ensures that the average stretch is the same, irrespective

of ethylene content in polymer. However, a difference in stretch history of the high

molecular tail may cause a significant change in nuclei quantity. In fact, the longest

relaxation time of the RACO’s, determined from dynamic rheological measurements,

is larger than for the iPP homopolymer; 1.46, 2.07 and 3.14 s for iPP, RACO3 and

RACO7 at 220 ◦C, respectively. [34] Since the temperature dependence of relaxation

time follows the Arrhenius equation, the longest relaxation times at 137 ◦C are known

according to τTτref

= exp(−ER( 1T− 1

Tref

)) with the activation energy E (43.0, 42.04 and

45.19 kJ/mol for iPP, RACO3 and RACO7, respectively) [34] and universal gas constant

R. It is found that the longest relaxation times of RACO3 and RACO7 are 16.5 and

29.2 s at 137 ◦C, respectively, which are 1.4 and 2.4 times larger than that of 12.2 s in

iPP. Thus, for the same imposed stress, the high molecular weight tail becomes more

oriented with increasing ethylene content, during flow. Moreover, the stretch history of

high molecular weight tail lasts longer in random copolymers, after cessation of flow.

These two aspects result in an enhanced effect when subjected to the same stress. In the

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106 Chapter 6

same layer, an identical stress causes a larger influence on crystallization with increasing

ethylene content, which is consistent with our estimation of oriented nuclei shown in

Table 6.3. Under such high stress of around 0.1 MPa, flow-induced nucleation in this

set of Ziegler-Natta type homopolymer and random copolymers is dominated by their

high molecular weight tails.

Although the quantity of nuclei is higher for the random copolymers, the growth rate

of random copolymers is much lower than that of iPP. For 2D growth, crystallization

kinetics is determined by the total length of nuclei and the square of growth rate,

Φ(t) = 1 − exp(−πLG2t2), so the overall crystallization kinetics is still dominated by

the growth rate and decreases with increasing ethylene content.

6.5 Conclusions

Using a pressure-driven slit flow device and the depth sectioning method, the

crystallization of an iPP homopolymer and two random copolymers with 3.4 and 7.3

mol% ethylene were studied. For the same material, the crystallization rate becomes

faster going from the inner to outer layers because of the increase in stress. With

crystallization, the emergence of daughter lamellae is found to occur later than the

development of parent lamellae. The lager number of oriented nuclei in outer layer

leads to a smaller orientation change during crystallization because of less space between

neighboring nuclei, i.e. the absence of space for lamellar curving and twisting. The high

stress can generate up to 1011 m/m3 of oriented nuclei and start the crystallization of

RACO7 in vicinity of its melting temperature. High-stress induced nuclei are quantified

using kinetic analysis and the results show that the total length of nuclei in iPP is less

than that in random copolymers. The increase of nuclei length with ethylene is explained

by the longer largest relaxation time for random copolymers, which determines the

molecular stretch of the longest molecules and thus the nucleation rate (as given by the

“nucleation and growth model”). However, since the growth rate is reduced significantly

by adding ethylene monomer, the crystallization kinetics, dominated by growth rate, is

still faster for the homopolymer than for the random copolymers, even with less nuclei.

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Chapter seven

Conclusions and recommendations

7.1 Conclusions

This study is devoted to gain understanding on how flow introduces extra nucleation

and morphology changes in polymers by using advanced experimental methods such

as high speed X-ray scattering. High density polyethylene (HDPE) and isotactic

polypropylene (iPP) were chosen as representative materials. The goal was to design

experiments at conditions comparable to real processing conditions and use these to

measure time resolved structure development in terms of quantities that are predicted

by state of the art models [1] for flow induced crystallization of polymers, i.e. number

and dimensions of crystalline structures such as spherulites and shish-kebab and the

orientation of these.

Shear significantly accelerates crystallization kinetics by increasing the amount of

nuclei and generates an anisotropic morphology by inducing orientation. These effective

nuclei can be directly generated during flow or developed from precursors which

appear within flow. This thesis focuses on formation of shear-induced precursors/nuclei

and ultimately attempts to reveal the resulting effects on crystallization. Therefore,

several novel methods are developed and applied to achieve qualitative and quantitative

knowledge on shear-induced substances.

• Rheological measurements provide a convenient method to determine nucleation

densities. Using a recently proposed suspension-based rheological model [2], the

number of point-like nuclei in quiescent and mildly sheared pure and nucleated

(U-Phthalocyanine) iPP’s, is assessed, see Chapter 2. Results show that U-

Phthalocyanine is quite efficient for nucleating iPP; it raises the nucleation density

by six decades for quiescent crystallization. Moreover, it was found that the effect

109

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110 Chapter 7

of shear is enhanced by the presence of the nucleating agent. The rheological

method is easy to apply since rheometers are readily available in most academic

and industrial labs.

• When shear-induced oriented precursors cannot be detected directly; crystalliza-

tion has to be triggered, to reveal the nature of these precursors. This can

be reflected in the crystallization features such as kinetics and orientation. In

Chapter 3, a “pressure quench” method is described, i.e. a way to mimic a

temperature quench, which provides a convenient and flexible way to obtain

sufficient under-cooling to start crystallization. This method effectively “lightens

up” the formation of precursors, which leads to accelerated kinetics and oriented

morphology. With the pressure quench, temperature gradients can be avoided.

Moreover, it allows for reverse cooling by depressurizing and, by varying pressure

histories, for applying complex thermal histories. It was found that the precursors

with different stability can be formed by shear and the least stable ones relax

back to the melt, resulting in higher fraction of twisted lamellae in the ultimate

crystalline structure of PE. Depressurization before crystallization completion

leads to partially melting of the crystals, which is explained by the variation

in lamellar stability.

• For X-ray observable crystalline shish nuclei, the combination of a slit flow

with high speed synchrotron X-ray measurements, provides a method for in-situ

structural characterization during flow, see Chapter 4. The rheological and

structural evolution during and after short-term were studied for iPP. It was

found that, depending on the shear strength, both, a rise of the apparent viscosity

and, with some delay (∼ 0.1 s), the formation of crystalline shish can occur

during flow. The formation conditions and appearance time of crystalline shish

are determined. These rheological and structural changes demonstrate that

these flows do not satisfy the basic requirement for what is called a “short-term

flow” [3], a flow where no rheological changes occur during flow. The viscosity

rise may be explained by the creation of shish or precursors for shish that act as

physical cross-links and that become detectable after the observed delay time.

However, we cannot be sure about the exact value of the delay time; i.e. if the

viscosity rise and the observation of shish are directly related. The influence of

the pressure on the local values of rheological and kinetic parameters will cause

nucleation events to occur first upstream which starts the apparent viscosity

rise while the X-ray measurements are done half way the slit. Only a numerical

model can help to reveal this complex interaction. For that, the results should be

combined with a detailed model for flow induced crystallization including a fully

characterized non-linear viscoelastic model [1, 4] from which the relaxation times

are coupled to the structural development.

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Chapter 7 111

• In Chapter 5 it is shown that combing the advanced experimental methods (in-

situ X-ray and birefringence measurements) distinguishes the various flow-induced

structures. By tracking the isothermal crystallization, a direct relation between

nuclei and crystallization behavior, including kinetics, orientation and β-crystals,

are determined for iPP.

• The influence of molecular structure on flow induced crystallization was

investigated (see Chapter 6). Crystallizations in an iPP homopolymer and two

rheologically similar ethylene/propylene random copolymers are compared after

imposing the same stress. By using a pressure-driven slit flow [5] and application

of the depth sectioning method [6] crystallization kinetics can be related to

different stress levels, i.e. the amount of fibrillar nuclei length per volume can

be related to the stress history. Stress induced nuclei are quantified using kinetic

analysis [7–10] and the results show that the total length of fibrillar nuclei is less

in iPP than in random copolymers. The increase of nuclei length with ethylene

is explained by the longer largest relaxation time for random copolymers, which

determines the molecular stretch of the longest molecules and thus the nucleation

rate. However, since the growth rate is reduced significantly by adding ethylene

monomer, the crystallization kinetics, dominated by growth rate, is still faster for

the homopolymer than for the random copolymers, even with less nuclei.

7.2 Recommendations

In this thesis, a variety of methods is developed and applied to probe and quantify

shear-induced precursors/nuclei. These methods involve rheometry combined with

a suspension model for a crystallizing polymer, advanced experimental setups and

corresponding experimental protocols. In particular, the application of a multi-pass

rheometer (MPR) provides a strong tool to explore the crystallization under processing-

relevant conditions, i.e., intensive flow and mutual influence between flow and pressure.

Some challenges are emphasized for future work.

The main recommendations of this work are:

• Using a suspension-based rheological model developed by Steenbakkers et al. [2],

we were able to derive the space filling of growing spherulites from rheological

measurements. This model is applied to a iPP system with a colored nucleating

agent subjected to quiescent and mild flow conditions. The results in Chapter 2

demonstrate the success of this rheological model in assessing the amount of point-

like nuclei for such a complex system. It is known that a crystalline morphology

can change from isotropic spherulites to an oriented structure when the flow is

strong enough. Therefore, it would be very useful to derive a rheological model

that is capable of capturing oriented crystallization as well.

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112 Chapter 7

• The pressure quench method presented in Chapter 3 provides an alternative

way of achieving sufficient under-cooling to start crystallization of shear-induced

precursors. A pressure quench imposed immediately after flow effectively triggers

crystallization and consequently reveals the generation of precursors. Moreover,

the crystallization after an extra annealing step between cessation of flow and

application of a pressure quench shows partial relaxation, i.e., the variation in

stability, of precursors generated. In Chapter 3, the annealing process is performed

at only a single set of experimental parameters (apparent wall shear rate = 67

s−1, temperature = 134 ◦C, pressure = 50 bar). A more systematic study should

be carried out to explore the dependency of precursor stability on flow strength,

temperature and, more interestingly, on pressure.

• In Chapter 4, the early stage of structure evolution during flow is explored in

depth using a slit rheometer and ultra-fast X-ray characterizations. Both pressure

rise and start of crystallization are observed during flow if the flow is strong

enough, and a time delay (∼ 0.1 s) is found between pressure rise (averaged over

the whole channel) and X-ray signal (specific to the observation window in the

middle of the slit). Our microscopy images (see Figure 4.10 and 4.12) show the

inhomogeneous morphology along the flow direction due to the pressure gradient,

i.e. it demonstrates the large effect of pressure on crystallization kinetics. Such

complexity suggests that above time delay may (or partially) result from the

earlier crystallization upstream than in the X-ray observation window. It is really

a challenge to experimentally determine the precise time delay and to capture this

delay using advanced modeling [11] of flow and pressure enhanced crystallization.

To avoid pressure gradients, an extensional flow rheometer [12] can be used to

explore the relation between change of rheological property and crystallization

under atmospheric pressure. To further explore pressure effect, a dilatometry flow

device is suggested. For instance, extended dilatometry (Pirouette PVT) [13–15]

can achieve both homogeneous shear and desired pressure. Further combination

of PVT and X-ray would be very helpful.

• The entire crystallization evolution was monitored for a slit flow; from start

of flow until complete crystallization. The results in Chapter 5 show that

crystal orientation is quite high initially because of the highly oriented nuclei

and decreases during crystallization due to the lamellar curving and twisting [16].

The reduction of orientation implies that lamellar growth is not perfect two-

dimensional, i.e. only perpendicular to the nuclei orientation. These observations

provide experimental data for modification of shear-induced crystallization

models.

• In Chapter 6, the influence of molecular structure on crystallization is discussed

by comparing crystallization of iPP homopolymer and two propylene/ethylene

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Chapter 7 113

random copolymers after the same shear. This set of materials is synthesized with

Ziegler-Natta type catalysts and has the heterogeneous distribution of ethylene

monomers along polymer chain. Knowing this, the question how ethylene defects

that are homogeneously distributed will influence polymer crystallization emerges.

References

[1] F. J. M. F. Custodio, R. J. A. Steenbakkers, P. D. Anderson, G. W. M. Peters, and H. E. H.

Meijer. Macromolecular Theory and Simulations 18(9):469–494, 2009.

[2] R. J. A. Steenbakkers and G. W. M. Peters. Rheologica Acta 47(5-6):643–665, 2008.

[3] S Liedauer, G Eder, H Janeschitz-Kriegl, P Jerschow, W Geymayer, and E. Ingolic. International

Polymer Processing 8:236–244, 1993.

[4] H. Zuidema, G. W. M. Peters, and H. E. H. Meijer. Macromolecular Theory and Simulations

10(5):447–460, 2001.

[5] G. Kumaraswamy, R. K. Verma, and J. A. Kornfield. Review of Scientific Instruments 70(4):2097–

2104, 1999.

[6] L. Fernandez-Ballester, D. W. Thurman, and J. A. Kornfield. Journal of Rheology 53(5):1229–

1254, 2009.

[7] A. N. Kolmogorov. Bull. Acad. Sci. USSR. Ser. Math 3:355–360, 1937.

[8] M. Avrami. Journal of Chemical Physics 7(12):1103–1112, 1939.

[9] M. Avrami. Journal of Chemical Physics 8(2):212–224, 1940.

[10] U. R. Evans. Transactions of the Faraday Society 41:365–374, 1945.

[11] T. B. van Erp. Structure development and mechanical performance of polypropylene. Ph.D. thesis,

Eindhoven University of Technology, Eindhoven, The Netherlands, 2012.

[12] Y. Liu, W. Zhou, K. Cui, N. Tian, X. Wang, L. Liu, L. Li, and Y. Zhou. Review of Scientific

Instruments 82(4):045104, 2012.

[13] M. H. E. Van der Beek, G. W. M. Peters, and H. E. H. Meijer. Macromolecules 39(26):9278–9284,

2006.

[14] M. H. E. Van der Beek, G. W. M. Peters, and H. E. H. Meijer. Macromolecules 39(5):1805–1814,

2006.

[15] T. B. van Erp, L. Balzano, and G. W. M. Peters. ACS Macro Letters 1(5):618–622, 2012.

[16] D. M. Dean, L. Rebenfeld, R. A. Register, and B. S. Hsiao. Journal of Materials Science

33(19):4797–4812, 1998.

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Samenvatting

Bij het vervaardigen van polymeren producten wordt het materiaal in gesmolten

toestand gebracht en vervolgens gevormd. Specifieke eigenschappen kunnen worden

gecreeerd, zoals een hoge stijfheid in een richting middels verstrekken of het vormen

van geometrische complexe producten via spuitgieten. In ongeveer tweederde van

toepassingen worden semi-kristallijne polymeren gebruikt. Tijdens het stromen in het

vormgevingsproces wordt niet alleen het kristallisatieproces versneld, maar kunnen ook,

in plaats van gemiddeld isotrope spherulitische kristallijne structuren, sterk georinteerde

(cilindervormige) structuren worden gevormd. Deze zogenaamde shish-kebabs vertonen

een overeenkomstige vorm met dit van oorsprong Persische voedsel en bepalen in

hoge mate de uiteindelijke producteigenschappen. Het is daarom van belang om de

wisselwerking tussen stroming en de resulterende structuren te begrijpen, waardoor het

mogelijk wordt de gewenste procedures en procescondities te ontwikkelen om benodigde

eindeigenschappen te verkrijgen.

Het hoofddoel van dit onderzoek is daarom het ophelderen van de relatie tussen

specifieke stromingscondities en de resulterende kristallijne structuren. De gebruikte

methode is het bestuderen van de eerste stadia in het kristallisatie proces, waarin de

vorming van precursors en kiemen de overhand heeft. Een precursor is een geordende

locale structuur die niet groeit maar wel kan fluctueren in grootte, en die dus ook kan

verdwijnen. Hij kan echter ook uitgroeien tot kiem.

Dit is van belang, immers kristallisatie van polymeren is een twee-staps proces:

kiemvorming en groei. De eerste stap bepaalt in kwantitatieve (aantal) en in

kwalitatieve (isotroop of georinteerd) zin wat voor kiemen er worden gevormd en

daarmee in grote mate hoe verdere groei van kristallijne structuren zal plaatsvinden.

Kiemvorming kan tevens sterk worden beinvloed door het toevoegen van kiemvormers

en/of door de invloed van stroming, meer in het bijzonder door de invloed van

stromingsgradienten. Vorming en specifieke eigenschappen van kiemen zijn daarom

sleutelfactoren die de uiteindelijke kristallijne structuren bepalen. Het meten en

kwantificeren van precursors en kiemen omvat deshalve het grootste deel van dit

115

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116 Samenvatting

onderzoek.

Overeenkomstig de resulterende morfologie kunnen kiemen worden opgedeeld in

twee groepen: puntvormige en georienteerde kiemen. Uit de eerste groep vormen

zich later spherulieten, uit de tweede voornamelijk de shish-kebabs: een dunne

cylinder met transversale lamellen. Afhankelijk van of ze waarneembaar zijn met

rontgendiffractiemetingen (de belangrijkste experimentele methode die in dit onderzoek

is gebruikt)worden georienteerde kiemen ook wel onderscheiden in zogenaamde shish-

kiemen en rij-kiemen. De laatsten worden nog onderscheiden in draad- of naaldvormige

kiemen, als alternatieve technieken als dubbele breking worden gebruikt.

In het eerste deel van dit proefschrift wordt de vorming van extra puntvormige

kiemen, in een isotactisch polypropyleen, door middel van toevoeging van een

kiemvormer (U-Phthalocyanine) beschreven. Hierbij wordt zowel de situatie met als

zonder een afschuifstroming beschouwd en in beide situaties verhoogt de kiemvorming

dramatisch. De kiemdichtheid is zo hoog, en daarmee worden de resulterende kristallijne

structuren zo klein, dat ze niet meer zichtbaar kunnen worden gemaakt met behulp van

normale optische microscopie. Daarom is gebruik gemaakt van een reologisch suspensie

model dat de fractie kristallijn material relateert aan het mechanische gedrag. Wanneer

de groeisnelheid van de kristallijne structuren bekend is, kan via dit model het aantal

kiemen worden afgeschat.

In het tweede deel van dit onderzoek worden de resultaten omtrent precursors en

rij-kiemen in een bi-modale polyetheen beschreven. Omdat rij-kiemen niet direct

detecteerbaar zijn met behulp van rontgendiffractie, wordt gebruik gemaakt van

plotse drukverhoging om de smelttemperatuur, en daarmee de onderkoeling, snel te

verhogen (een zogenaamde “pressure quench”). Het blijkt dat afschuivings-geınduceerde

precursors kunnen worden gevormd bij temperaturen die nagenoeg gelijk zijn aan de

evenwichtssmelt-temperatuur, en die bovendien bij die temperatuur slechts langzaam

relaxeren.

Vervolgens is de vorming van naaldvormige kiemen tijdens stroming bestudeerd.

Hiervoor is gebruik gemaakt van de combinatie van een snelle rontgendiffractie methode

(30 beelden/s) en reologische metingen. Er blijkt een kritische waarde voor de

afschuifsnelheid te bestaan voor het al dan niet ontstaan van deze naaldvormige kiemen

tijdens een (zeer korte) stroming van 0.25 s. Wanneer georienteerde precursors ontstaan

tijdens de stroming ontwikkelen deze zich tot naaldvormige kiemen na het stoppen

van de stroming. Bij deze experimenten is aangetoond dat reologie gevoeliger is dan

rontgendiffractie, gegeven de gevoeligheid van de huidige detectoren.

Behalve door externe stromingseffecten wordt de vorming van kiemen ook beinvloed

door de interne moleculaire structuur van het onderhavige polymeer. Daarom is

in het laatste deel van het onderzoek de invloed van moleculaire eigenschappen op

afschuivingsgeınduceerde kristallisatie onderzocht. Dit is gedaan aan de hand van

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Samenvatting 117

een isotactisch polypropyleen en twee propyleen/etheen random copolymeren met

varieerende hoeveelheid etheen. Deze drie materialen hebben een nagenoeg gelijk

reologisch gedrag; er is alleen een klein maar belangrijk verschil in de grootste

relaxatietijd. Omdat voor het homo-polymeer deze relaxatietijd het laagst is, is ook

de door stroming verhoogde kiemdichtheid het laagst voor dit materiaal. Echter,

de verlaagde groeisnelheid ten gevolge van de toegevoegde etheen comonomeer leidt

uiteindelijk toch tot een lagere kristallisatiesnelheid voor de twee random copolymeren

bij vergelijkbare thermische condities.

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Acknowledgements

During the past four years, many people have helped me a lot, which lead to the

completion of this thesis and my enjoyable life in The Netherlands. It is my pleasure to

use this last part of my thesis to express my sincere gratitude and thanks to all of you.

First, I would like to thank Prof. Han Meijer and Prof. Gerrit Peters for the

opportunity to study in Eindhoven. Han, I really appreciate such rare chance of pursuing

my PhD in m@te group. During my stay, your innovative thinking continuously inspires

me and your encouragement also brought me a lot of confidence.

I would like to particularly thank Prof. Gerrit Peters, my daily supervisor. This thesis

could not have been finished without your professional guidance and continuous support.

Thank you, Gerrit, for your countless work from the initial proposal, constructive

discussions, to the tireless corrections of the thesis, etc. I learned a lot from your

direct and effective way of working and thinking, especially how to clearly understand

the physical picture behind a chaotic presentation and how to make life simple. I also

truly appreciate your extra inputs on my personal development and your patience of

bearing my boring questions.

My Eindhoven dream came true also thanks to the introduction and recommendation

from Mr. Jacques Joosten (DPI) and Prof. Liangbin Li (USTC). I would like to thank

both of them.

Concerning the abundance of X-ray experiments in the thesis, all members of our

beam-time team, Luigi, Tim, Dario, Peter, Martin, Lucia deserve my appreciations.

Guys, thank you all for the help and support during the stressed moments (e.g. oil

leakage) and also the funs we have experienced together (e.g. cleaning the oil?). In

particular, I am deeply indebted to Luigi for his constant and valuable helps with

experiments, data analysis and discussions, etc. Luigi, owing to your professional “x-

ray eyes”, I really enjoyed working with you on that reciprocal space. In addition, I am

grateful to Dr. Giuseppe Portale and Wim Bras for the strong support at DUBBLE

beamline BM26 (ESRF).

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120 Acknowledgements

One reason I enjoy working in Eindhoven is that we have a very friendly and open

environment here. First of all, I want to express my gratitude to Marleen and Yvon for

all their help to make my stay easier and smooth. Next, I would like to thank my room

mates: Michiel, Isa, Lambert, Sebastiaan, Sam, Nick, Iaroslav for the pleasant office

atmosphere. Also, I am thankful to other m@te members: (former) Tom, Rudi, Jan-

Willem, Amin, Joris, Young Joon, Frederico, Arash; (present) Leon, Patrick, Markus,

Lambert, Martien, Peter, Leo, Dirk, Marc, Danqing, Yang, Ye, Carina, Zahra, Amin,

Oleksandr, Daniel, Fabio, Jang Min, Panayiotis, and others not mentioned here, for all

the happy time we experienced together during the past four years. Although we are

colleagues for a very short time, I believe that we can be friends for ever.

My life in The Netherlands is always enjoyable thanks to my friends who I

met mainly in Eindhoven and Amsterdam. Here I would like to acknowledge, (in

GEM) Zhipeng&Yanru, Miao, Lei, Shuiquan; (in Helix) Piming&Xiaoxia, Donglin,

Chunxia, Weizhen, WuJing, DaiMian, Yulan, Jiaqi, Tamara, Camille, Yogesh,

Maurizio; (in Amsterdam) Shoumin&LiDi, Anbang&HuoChao, QuanWei, ZhuHao,

Fangyong&Hairong, Yifan, LiChao, Longyuan&ZhangZhen, SongYang, Shangsong,

ZhaoJing, ZhouJing, Zhongyu, YangQiang, FuJian; and my old friends in delft: Haining

and Guanglin. Thanks a lot for your kindness and hospitality.

Last but not least, I want to express my gratitude to my family for their unconditional

love. Papa and mama, thank you for the endless cares and constant supports, which

are always accompanying me under any circumstance. The special love goes to my wife.

Dear Liyuan, your accompanying and constant love make everyday a great time. Your

tolerating, support and encouragement help me go through all the different moments.

Language is not enough to express my appreciation; I will use the rest of my life to love

you.

Zhe

Eindhoven, October 2012

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Curriculum vitae

The author, Zhe Ma was born in Hejian, Hebei Province, China, on December 13th

1983. After finishing his bachelor study in 2005 at the Zhejiang University of Technology,

he studied Material Processing Engineering in the group of Prof. Zhongming Li at

Sichuan University in Chengdu. During 2006-2008, he completed his master thesis

“Study on the relationship between α crystal and mesophase in isotactic polypropylene”

under the supervision of Prof. Liangbin Li at University of Science and Technology of

China in Hefei.

In 2008, he started his PhD study in the Polymer Technology group of Prof.

Han Meijer at Eindhoven University of Technology under the supervision of Prof.

Gerrit.W.M. Peters. During his PhD study, the author completed “Polymer Physics”,

“Polymer Properties” and “Rheology and Polymer Processing” modes of the course

“Registered Polymer Scientist” (RPK) organized by the “National Dutch Research

School of Polymer Science and Technology” (PTN).

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List of publications

This thesis has resulted in the following publications:

• Z. Ma, R.J.A. Steenbakkers, J. Giboz, G.W.M. Peters. Using rheometry to

determine nucleation density in colored system containing a nucleation agent.

Rheologica Acta 50:909–915, 2011.

• Z. Ma, L. Balzano, G.W.M. Peters. Pressure Quench of flow-induced

crystallization precursors. Macromolecules 45:4216–4224, 2012.

• Z. Ma, L. Balzano, T. van Erp, G. Portable, G.W.M. Peters. Short-term flow

induced crystallization in isotactic polypropylene: how short is short? to be

submitted, 2012.

• Z. Ma, L. Balzano, G. Portable, G.W.M. Peters. The influence of flow induced

precursors and nuclei on crystallization of isotactic polypropylene. to be submitted,

2012.

• Z.Ma, L. Fernandez-Ballester, D. Cavallo, G.W.M. Peters. High-stress shear

induced crystallization in isotactic polypropylene and propylene/ethylene random

copolymers. to be submitted, 2012.

• L. Balzano, D. Cavallo, T.B. van Erp, Z. Ma, J.W. Housmans, L. Fernandez-

Ballester, G.W.M. Peters. Dynamics of fibrillar precursors of shishes as a function

of stress. IOP Conf. Ser.: Mater. Sci. Eng. 14:012005, 2010.

• L. Balzano, Z. Ma, D. Cavallo, T.B. van Erp, L. Fernandez-Ballester, G.W.M.

Peters. Molecular aspects of the transformation of oblong density fluctuations

into shish-kebabs. to be submitted, 2012.

The author contributed to several publications outside the scope of this thesis:

• Z. Ma, C. Shao, X. Wang, B. Zhao, X. Li, H. An, T. Yan, Z. Li, L. Li.

Critical stress for drawing-induced α crystal-mesophase transition in isotactic

polypropylene. Polymer 50:2706–2715, 2009.

123

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124 List of publications

• C. Shao, Z. Ma, R. Zhuo, R. Zhang, C. Shen. Inhomogeneous deformation of

crystalline skeleton of syndiotactic polypropylene under uniaxial stretching. J.

Mater Sci 47:3334–3343, 2012.

• P. Ma, Z. Ma, W. Dong, Y. Zhang, P.J. Lemstra. Structure-property relationships

of partially crosslinked poly(butylene succinate). Macromol. Mater. Eng. DOI:

10.1002/mame.201200209, 2012.

• Y. Liu, K. Cui, N. Tian, W. Zhou, L. Meng, L. Li, Z. Ma, X. Wang. Stretch-

Induced Crystal-Crystal Transition of Polybutene-1: An in Situ Synchrotron

Radiation Wide-Angle X-ray Scattering Study. Macromolecules 45:2764–2772,

2012.

• B. Zhao, X. Li, Y. Huang, Y. Cong, Z. Ma, C. Shao, H. An, T. Yan, L. Li.

Inducing Crystallization of Polymer through Stretched Network. Macromolecules

42:1428–1432, 2009.

• X. Li, J. Sun, Y. Geng, X. Wang, Z. Ma, C. Shao, X. Zhang, C. Yang, L.

Li. Inducing New Crystal Structures through Random Copolymerization of

Biodegradable Aliphatic Polyester. Macromolecules 41:3162–3168, 2008.


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