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Dissertations and Theses 8-2016 Detecting Delamination in Carbon Fiber Composites Using Detecting Delamination in Carbon Fiber Composites Using Piezoresistive Nanocomposites Piezoresistive Nanocomposites Sandeep Chava Follow this and additional works at: https://commons.erau.edu/edt Part of the Aerospace Engineering Commons, and the Materials Science and Engineering Commons Scholarly Commons Citation Scholarly Commons Citation Chava, Sandeep, "Detecting Delamination in Carbon Fiber Composites Using Piezoresistive Nanocomposites" (2016). Dissertations and Theses. 204. https://commons.erau.edu/edt/204 This Thesis - Open Access is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of Scholarly Commons. For more information, please contact [email protected].
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Page 1: Detecting Delamination in Carbon Fiber Composites Using ...

Dissertations and Theses

8-2016

Detecting Delamination in Carbon Fiber Composites Using Detecting Delamination in Carbon Fiber Composites Using

Piezoresistive Nanocomposites Piezoresistive Nanocomposites

Sandeep Chava

Follow this and additional works at: https://commons.erau.edu/edt

Part of the Aerospace Engineering Commons, and the Materials Science and Engineering Commons

Scholarly Commons Citation Scholarly Commons Citation Chava, Sandeep, "Detecting Delamination in Carbon Fiber Composites Using Piezoresistive Nanocomposites" (2016). Dissertations and Theses. 204. https://commons.erau.edu/edt/204

This Thesis - Open Access is brought to you for free and open access by Scholarly Commons. It has been accepted for inclusion in Dissertations and Theses by an authorized administrator of Scholarly Commons. For more information, please contact [email protected].

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DETECTING DELAMINATION IN CARBON FIBER COMPOSITES USING

PIEZORESISTIVE NANOCOMPOSITES

A Thesis

Submitted to the Faculty

of

Embry-Riddle Aeronautical University

by

Sandeep Chava

In Partial Fulfillment of the

Requirements for the Degree

of

Master of Science in Aerospace Engineering

August 2016

Embry-Riddle Aeronautical University

Daytona Beach, Florida

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DEDICATION

This thesis is dedicated to my father,

Venkatrao Chava

May his memory forever be a

comfort and a blessing

He was the best father

a kid could have

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ACKNOWLEDGMENTS

It gives me immense pleasure to acknowledge all the people that supported me and

stood beside me in this journey. I would first like to thank my thesis advisor Dr. Sirish

Namilae, who consistently allowed this thesis to be my own work, but steered me and

motivated me in the right direction whenever he thought I needed it.

I would like to thank Dr. Kim for all of his advice and inputs, Dr. Habib Eslami for

being a constant source of encouragement and enthusiasm, Mr. Tony Sharp and my IT team

for their moral support for the last two plus years, Dr. David J Sypeck and Mr. Michael

Potash for sharing their knowledge, Mr. William Russo for all his assistance throughout

my research and all faculty that guided me during various stages of my masters.

I would like to extend my appreciation to my research group Jiukun Li, Sandeep

Choudhary, Bhanu Praketh Kota, Audrey Gbaguidi and all my friends for their support and

encouragement throughout my thesis work.

I would especially like to thank my mother Jhansi, my grandparents Lakshmi

Kanthamma & Krishnamurthy and my sister Keerthi. My hard-working parents have

sacrificed their lives for my sister and myself and provided unconditional love and care. I

love them so much, and I would not have made it this far without them.

Finally, I would like to thank Aerospace Engineering Department of Embry-Riddle

Aeronautical University and its entire staff and faculty for educating me and supporting me

throughout my masters. I always feel I took a right step by coming here to do my Master

of Science in Aerospace Engineering.

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TABLE OF CONTENTS

LIST OF TABLES ............................................................................................................ vii

LIST OF FIGURES ........................................................................................................ viii

SYMBOLS ......................................................................................................................... xi

ABSTRACT ...................................................................................................................... xii

1. Introduction ..................................................................................................................... 1

1.1 Significance .............................................................................................................. 1

1.2 Motivation................................................................................................................. 3

1.3 Problem statement and research objectives ............................................................ 6

Literature review ............................................................................................................. 8

2.1 Composites ............................................................................................................... 8

2.2 Defects in Aerospace Composite Structures: ....................................................... 10

2.2.1 Manufacturing Defects in Composite Structures .......................................... 11

2.2.2 In Service Defects in Composite Structures .................................................. 12

2.2.3 Boeing 787 Dreamliner Delamination Issue ................................................. 14

2.3 Carbon as Graphene and Carbon Nanotubes (CNTs) .......................................... 15

2.4 Properties of Carbon Nanotubes (CNTs) ............................................................. 18

2.5 Buckypaper (CNT Sheet) ...................................................................................... 19

2.6 Finite Element Models of Delamination .............................................................. 22

2.6.1 eXtended Finite Element Method (XFEM) ................................................... 23

2.6.2 Cohesive Zone Model (CZM) ........................................................................ 23

2.6.3 Virtual Crack Closure Technique (VCCT) ................................................... 25

2.6.4 Abaqus Software ............................................................................................. 27

Experimental Procedure ................................................................................................ 30

3.1 Fabricating Nanocomposite Sensor ...................................................................... 30

3.1.1 Materials .......................................................................................................... 31

3.1.2 Procedure ......................................................................................................... 32

3.2 Fabricating Carbon Fiber Prepreg Composite laminate ...................................... 36

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3.2.1 Materials .......................................................................................................... 37

3.2.2 Fabrication Procedure ..................................................................................... 38

3.3 Preparing Samples for Testing .............................................................................. 42

3.4 Electro-Mechanical Measurement & Data Acquisition....................................... 44

3.5 Experimental Setup of Flexural Test .................................................................... 46

Experimental Results of Mechanical and Electrical Behavior of Composites ............. 50

4.1 Mechanical Properties of CNTs and Carbon Fiber Composites ......................... 50

4.1.1 Mechanical Properties of CNTs .................................................................... 50

4.1.2 Mechanical Properties of Carbon Fiber Composites ................................... 51

4.2 Experimental Results of Mechanical Properties .................................................. 52

4.3 Electrical Properties of CNTs and Carbon Fiber Composites............................. 55

4.4 Scanning Electron Microscopy ............................................................................. 58

Finite Element Model of Flexural Test ......................................................................... 60

5.1 Finite Element Model of Non-delaminated Sample ............................................ 60

5.2 Finite Element Model of Delaminated Sample using VCCT ............................. 62

5.3 Results of Finite Element Model (Abaqus/CAE) ................................................ 64

Analysis and Discussion ............................................................................................... 66

6.1 Electro-Mechanical Properties of Piezoresistive Nanocomposite ...................... 66

6.2 Comparing Results of Experiments and Simulation ............................................ 69

6.3 Strain in Composite Region (on laminate) in Abaqus/CAE ............................... 71

6.4 Strain Correlation of Piezoresistive Nanocomposite ........................................... 74

6.5 Conclusion .............................................................................................................. 76

Summary and Recommendations ................................................................................. 78

7.1 Summary ................................................................................................................. 78

7.2 Recommendations for Future Work ..................................................................... 79

REFERENCES ................................................................................................................. 80

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LIST OF TABLES

Table 1.1 Estimated global carbon fiber consumption (Roberts, T 2010)…………...........3

Table 1.2 CNT and Graphene based sensors……………………………………………...5

Table 4.1 Young's Modulus and Tensile Strength of buckypaper/polymer nanocomposites

……………………………………………………………………………………………50

Table 4.2 Mech. properties of CF laminates cured for 90min at 275 oF by Autoclave (Hankuk

carbon co. LTD, CF3327-1 EPC: SE-019K)…………………………………………………51

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LIST OF FIGURES

Figure 2.1 Relative importance of material development through history (Leny, 2009)…9

Figure 2.2 Strength to weight ratio of composites (©Cambridge Univ Eng. Dept,

2009)……………………………………………………………………………………..10

Figure 2.3 Showing damage in a 4-ply laminated plate………………………………….13

Figure 2.4 Flightglobal news on 5th Feb, 2012…………………………………………..15

Figure 2.5 Carbon allotropes (i) diamond; (ii) graphite; (iii) lonsdaleite; (iv) C60

(Buckminsterfullerene); (v) C540; (vi) C70; (vii) amorphous carbon; (viii) single-walled

carbon nanotube (Wikimedia. Created by Michael Ströck (mstroeck). CC BY-SA 3.0)..16

Figure 2.6 SWNT and MWNT…………………………………………………………..17

Figure 2.7 Buckypaper used in this research from Nano Tech Labs…………………….20

Figure 2.8 SEM micrograph of buckypaper……………………………………………..21

Figure 2.9 Schematic of cohesive zone model (CZM) (Scheider, I, 2006)……………...24

Figure 2.10 Abaqus/CAE main user interface…………………………………………...26

Figure 2.11 Model Tree with all modules and objects…………………………………...28

Figure 3.1 Buckypaper strip……………………………………………………………...31

Figure 3.2 BP strip with copper plates…………………………………………...………31

Figure 3.3 BP strips with copper plates on tooling plate……………………...…………32

Figure 3.4 Epoxy resin and Epoxy resin mixture………………………...……………...32

Figure 3.5 General vacuum bagging schematic……………………………………….....33

Figure 3.6 Showing BP strip, attached copper plate and final sensor……………………34

Figure 3.7 Peeled off nanocomposite sensors……………………………………………34

Figure 3.8 SEM micrograph of coarse graphene platelets and CNTs on the sensor…….35

Figure 3.9 Typical autoclave cure cycle (Hankuk Carbon)...……………………………37

Figure 3.10 Carbon fiber prepreg strip………...……………………………………..….37

Figure 3.11 Prepreg layup using a roller to avoid air gaps…...………………………….38

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Figure 3.12 Wabash Press used in curing prepreg……………………………………….39

Figure 3.13 Digital temperature controls on Wabash press……………………………...39

Figure 3.14 Delamination in composite laminate sample (schematic)……………………40

Figure 3.15 Laminate samples and nanocomposite sensors side by side………………...41

Figure 3.16 Vacuum bagging setup for attaching nanocomposite sensor………………...42

Figure 3.17 Sample soldered with copper wires…………………………………………42

Figure 3.18 Schematic of voltage drop setup…………………………………………….43

Figure 3.19 LabVIEW code developed for data acquisition……………………………..44

Figure 3.20 ASTM D7264: Three-point loading diagram………………………………..45

Figure 3.21 Three-point setup for MTS testing system…………………………………..46

Figure 3.22 MTS Testing system…………………………………………………………46

Figure 3.23 Three-point setup for flexural test (ASTM D7264)…………………………47

Figure 3.24 Sample, under load and after deformation…………………………………...48

Figure 4.1 Stress - Strain plot of nanocomposites with coarse graphene platelets (5

wt.%)……………………………………………………………………………………..51

Figure 4.2 Stress - Strain plot of composite sample in Tension…………………………...52

Figure 4.3 Stress - Strain plot of non-delaminated composite sample (ASTM D7264)….53

Figure 4.4 Stress - Strain plot of delaminated composite sample (ASTM D7264)………53

Figure 4.5 Change in Resistivity - Strain plot of nanocomposites with coarse graphene

platelets (5 wt. %)……………………………………..…………………………………55

Figure 4.6 Change in Resistivity - Strain plot of non-delaminated composite sample…..56

Figure 4.7 Change in Resistivity - Strain plot of delaminated composite sample…….…56

Figure 4.8 SEM micrograph of fracture specimen……………………………..…………57

Figure 4.9 SEM micrograph showing CNTs on fracture specimen……………….……..58

Figure 5.1 Composite 8-ply layup in Abaqus/CAE……………………………….……..59

Figure 5.2 Assembly of three-point bend setup as experiments…………………………60

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Figure 5.3 Strain contour of deformed laminate sample………………………………….61

Figure 5.4 Strain contour of deformed delaminated sample……………………………...62

Figure 6.1 Stress – Strain and Resistivity – Strain response of a nanocomposite………..63

Figure 6.2 Stress – Strain and Resistivity – Strain response of nanocomposite attached to a

non-delaminated composite laminate…………………………………………………….64

Figure 6.3 Stress – Strain and Resistivity – Strain response of nanocomposite attached to a

delaminated composite laminate…………………………………………………………65

Figure 6.4 Force vs Displacement of non-delaminated laminate sample…………………66

Figure 6.5 Force vs Displacement of delaminated laminate sample from Abaqus/CAE…67

Figure 6.6 Comparing results of Simulation and Experiment in non-delaminated

sample…………………………………………………………………………………....68

Figure 6.7 Comparing results of Simulation and Experiment in a delaminated sample…..68

Figure 6.8 Cut out region of the nanocomposite section from assembly………………...69

Figure 6.9 Cut out region of the nanocomposite section from mesh….…………………69

Figure 6.10 Cut out region of the nanocomposite section from Abaqus visualization……70

Figure 6.11 Nanocomposite region and elements selected for strain calculation………..71

Figure 6.12 Strain vs Displacement plot of three elements in non-delaminated model….71

Figure 6.13 Strain vs Displacement plot of three elements in a delaminated model……..72

Figure 6.14 Correlation between the strain and resistivity of nanocomposite from three-

point bend test and tension test of a non-delaminated model……………………………73

Figure 6.15 Correlation between the strain and resistivity of nanocomposite from three-

point bend test and tension test of a delaminated model…………………………………..73

Figure 6.16 Stress – Strain and Resistivity – Strain response from flexural tests………..74

Figure 7.1 Composite repair patch with nanocomposite sensor for detecting the

effectiveness of the repair…………..……………………………………………………77

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SYMBOLS

R resistance

I current

∆V voltage drop

ρ resistivity

D maximum deflection

L length of support span

b width of test beam

F load at any given point

d depth of tested beam

w width of nanocomposites

m slope of the secant of the force-deflection curve

t thickness of nanocomposites

f maximum flexural stress

f maximum strain

fE flexural modulus of elasticity

l length of nanocomposites

V applied voltage

R⁄Ro resistivity change

ɛ strain

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ABSTRACT

Researcher: Sandeep Chava

Title: Detecting Delamination in Carbon Fiber Composites using Piezoresistive

Nanocomposites

Institution: Embry-Riddle Aeronautical University

Degree: Master of Science in Aerospace Engineering

Year: 2016

Carbon fiber prepreg composites are utilized successfully as structural materials for

different lightweight aerospace applications. Delamination is a critical failure mode in

these composite materials. As composite plies separate from each other, the composite

loses some of its ability for supporting expected loads. Therefore, detection of delamination

at right time is of foremost significance. This study presents a new way for detecting

delamination in composite plates using piezoresistive nanocomposites. This new procedure

is setup and studied through both experimental and computational investigations. In this

research, nanocomposites with 5% coarse graphene platelets are fabricated for detecting

delamination. 8-ply carbon fiber prepreg composite samples are fabricated through

compression molding. Delaminated composite samples are fabricated by placing a Teflon

film between layers of prepreg. Piezoresistive nanocomposites are attached on top of

prepreg laminate samples using epoxy resin. The change in electrical resistivity of these

nanocomposites due to the induced strain from flexural test (three point bend test) on

delaminated and neat composite laminates are monitored to demonstrate the delamination

detection method. A non-linear finite element model is developed using Abaqus software

suite to compliment the mechanical testing. Virtual Crack Closure Technique (VCCT) is

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used to model a delamination in the composite sample. Experimental results and the

simulations in this study indicate that piezoresistive nanocomposites can be used for

detecting delamination in carbon fiber composite materials.

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Introduction

1.1 Significance

Composite materials have been widely used in for structural applications. Light

weight, high specific strength, resistance to corrosion and flexibility in design, etc. are

some of the properties displayed by these materials that have benefited many industries

such as aerospace, automotive and marine. For example, commercial aircraft such as

Boeing 787 and Airbus 380 are two of the first commercial aircraft to feature composites

in fuselage and other primary structures (Garnier, Pastor, Eyma, & Lorrain, 2011).

Despite these benefits the susceptibility of composite materials to impact damage

is high and creates a major concern related to structural integrity (Abrate, 2005). In

aerospace structures, low-velocity impacts are often caused by tool drops during

manufacturing and servicing or runway stones during landing or take off. Such impacts

may result in various forms of damage such as indentation, matrix cracking, delamination

or fiber fracture, leading to severe reduction in strength and also reduction in integrity of

composite structures.

Although structures designed with fail-safe principles can withstand in theory,

impact damage detection is an important issue in maintenance of aircraft and aerospace

structures. While visible damage can be easily detected and remedial action can be taken

to maintain structural integrity, a major concern to end-users is the growth of undetected,

hidden damage caused by low-velocity impacts and fatigue. This internal damage is also

known in aerospace applications as Barely Visible Impact Damage (BVID), and failure to

detect BVIDs may result in a catastrophic collapse of the structure (Aymerich &

Staszewski, 2010).

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Hence, there is an increasing need for damage detection technologies on primary

structural components of the aircraft (such as the fuselage or the wings) so that we can

repair the damage rather than replacement of these components as a first-time solution (Hu

& Soutis, 2000).

Common damage on an aircraft can arise from accidental impact, bird strike,

hailstones and lightning strike or from deterioration caused by the absorption of moisture

or hydraulic fluid (Cheng, Gong, Hearn, & Aivazzadeh, 2011). Because of the laminated

layers in composite structures, damage often manifests as delamination between plies.

Delamination is one of the major failure modes and it may cause structural failure leading

to catastrophic consequences.

Development of an early damage detection method for delamination is an important

requirement for maintaining the integrity and safety of composite structures. Many

detection techniques have been proposed for structural health monitoring (SHM) and some

of the non-destructive evaluation approaches that utilize advanced technologies, such as

X-ray imaging (Tillack, Nockemann, & Bellon, 2000), ultrasonic scans (Rose, 2007),

infrared thermograph (Meola & Carlomagno, 2004), and eddy current (Grimberg, Savin,

& Rotundu, 2001), can identify damages.

However, most of these approaches are difficult to implement for in-service aircraft

testing and in situ space structures. Almost all of the above techniques require that the

vicinity of the damage is known in advance and the portion of the structure being inspected

is readily accessible (Qiao, Lu, Lestari, & Wang, 2006). This thesis investigates

delamination in laminates composite structures with the intention of developing a method

for damage detection approach using piezoresistive nanocomposites. The nanocomposites

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can be embedded in the structure facilitating potential in situ damage detection and

monitoring

The piezoresistive nanocomposites used in this work are developed based on

Carbon Nanotube sheets and graphene platelets. This thesis attempts to understand the

change in electrical behavior of the piezoresistive nanocomposites under applied strain

when they are embedded in composite laminates with and without delamination.

Additional applications are in the area of composite repair, wherein these piezoresistive

nanocomposite sensors have the potential to study the effectiveness of the repair on

composite laminates.

1.2 Motivation

Carbon fiber is generally defined as a fiber that contains at least 92 wt % carbon.

On the other hand, the fiber with 99 wt % carbon is called a graphite fiber (Fitzer, 1989).

Due to their excellent tensile properties and low densities, these are used in composites in

the form of woven textiles, prepregs, and chopped fibers. The demand for the carbon fiber

is increasing due to its use in many industries, such as aerospace, military and transport.

The estimated prediction of global carbon fiber consumption is shown in Table 1 as of

2010 (Roberts, 2006).

Table 1.1. Estimated global carbon fiber consumption (Roberts, 2006)

1999 (tons) 2004 (tons) 2006 (tons) 2008 (tons) 2010 (tons)

Aerospace 4,000 5,600 6,500 7,500 9,800

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Industrial 8,100 11,400 12,800 15,600 17,500

Sporting Goods 4,500 4,900 5,900 5,700 6,900

Total 16,600 21,900 25,200 29,800 34,200

These carbon fiber composites offer a combination of strength and modulus that

are either comparable to or better than many traditional metallic materials (Harris, 1991).

In addition to these properties, there are number of other differences between metallic

structures and carbon fiber composites. Due to inherent heterogeneity and anisotropy,

failure of composites involves many mechanisms. Whereas fatigue failure of isotropic and

homogeneous materials such as metals is the result of initiation and propagation of a single

dominant crack, fatigue failure of composites is characterized by initiation and

multiplication of many cracks in the weak phase (Shokrieh & Taheri-Behrooz, 2009).

For example, metals exhibit plastic deformation while most fiber reinforced

composites are elastic in their tensile stress-strain characteristics. Mechanisms of damage

development and growth in metalic and composite structures are also quite different. While

carbon fiber composites are used extensively in these many industries, there is always a

need for early damage detection in composite structures. Piezoresistive nanocomposite

sensor can potentially monitor the delamination in composite structures.

There are many carbon nanotube (CNT) based sensors that are currently used in

fields like biomedical, automotive and food industry etc. (see Table1.2). Sensors in

Biomedical Field like CNT Implantable Nanosensor is used in detecting diseases or

hazardous radiation exposure in early stages (Sinha & Yeow, 2005). In automotive

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industry, sensors like antitheft sensor that prevents stealing of vehicles are also made based

on CNTs (Weinberg, 2002). In food industry, sensors like pH sensors are used to determine

pH value in water for survival and growth of fishes (Xu, Chen, Qu, Jia, & Dong, 2004).

Sensors like CNT-based acoustic and optical sensors used for breath alcohol detection at

room temperature (Penza, Cassano, Aversa, Antolini, Cusano, Cutolo, & Nicolais, 2004).

Table 1.2 CNT and Graphene based sensors

Sensor area Sensor type Sensor uses Ref

Biomedical

CNT Nano biosensor Detecting DNA sequences in body R1

CNT Chemical sensor Blood analysis (Detecting ‘Na’ etc.) R2

CNT Pressure sensor Eye surgery, respiratory devices etc. R3

Automotive

CNT Force sensor Determining if an air filter is bad R2

CNT Pressure sensor Controlling dampers in suspensions R4

CNT Rollover sensor Finding roll rate to prevent tipping over R5

Food

CNT Gas sensor Monitor meat freshness during shipping R6

CNT Humidity sensor Monitoring humidity changes R7

CNT CO2 sensor Monitoring CO2 for plants growth R8

R1: Gao, 2010, R2: Kauffman, 2010, R3: So, 2013, R4: Gau, 2009, R5: Yang, 2013, R6:

Yoon, 2011, R7: Cao, 2011, R8: Shivananju, B. N, 2013.

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1.3 Problem statement and research objectives

The primary motivation is to develop a new damage detection sensor and detect

delamination in carbon fiber composites using the developed sensor. In this thesis we

explore and study CNT based piezoresistive nanocomposites and their application in

detecting delamination through both experiments and finite element model. Experiments

of tensile testing and flexural deformation of carbon fiber composites with and without

delamination are used to characterize the embedded nanocomposite sensors. A finite

element model is developed to further analyze the results of the experiments. The specific

research objectives are identified as follows:

a) Design and fabricate nanocomposites using Buckypaper and 5 wt% coarse

graphene platelets mixed with epoxy matrix. This composition has been

suggested to exhibit highest peizoresistivity through prior work in our group

[Li & Namilae, 2016].

b) Design and fabricate carbon fiber composite laminate samples with 8 ply layup

using carbon fiber prepreg.

c) Tension test using MTS testing machine and flexural deformation test using the

3 point bend setup following ASTM standards on the carbon fiber prepreg

laminate sample attached with piezoresistive nanocomposite on top of them.

The results of the tests are stress-strain and resistivity-strain curves obtained

through LabVIEW code developed.

d) Flexural test on a delaminated sample following ASTM standard and collecting

similar results using LabVIEW code developed.

e) Developing Finite Element Model (FEM) using Abaqus CAE and doing the

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same flexural test without delamination and with delamination using VCCT in

Abaqus CAE.

f) Analyzing the results from experiments and finite element model and

understanding the difference in test results between delaminated and baseline

specimen.

g) Suggesting how the piezoresistive nanocomposite can be used to detect

delamination or to identify the effectiveness of a repair in a repair patch on

carbon fiber composite laminates.

By determining the change in electrical resistivity of a piezoresistive

nanocomposite on a delaminated and non-delaminated sample, this thesis demonstrate

the potential of nanocomposite utilization in damage/delamination sensing in aircraft

structures.

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Literature review

2.1 Composites

Composites are among the most adaptable advanced engineering materials known

till date. Composites in general are heterogeneous materials and consist of two or more

constituents such as fiber and a matrix (Lubin, 1982). In contrast to metallic alloys, each

constituent material retains its separate chemical, physical, and mechanical properties.

The matrix of composites can be metal (Metal Matrix Composite), ceramic

(Ceramic Matrix Composite) or carbon based (Carbon-Carbon or polymeric). These

different matrix give composites their shape, appearance, environmental tolerance and

durability while the fibers carry most of the structural load and thus, making these materials

strong and stiff (Mark, Bikales, Overberger, Menges, & Kroschwitz, 1985)

Ashby (Ashby, Bush, Swindells, Bullough, Ellison, Lindblom, & Barnes, 1987)

presents a chronological variation of the relative importance of each group of materials

from 10,000 B.C. and extrapolates their importance through the year 2020. The information

contained in Ashby’s article has been partially reproduced in Figure 2.1. From the figure it

can be noticed that the importance of composites increased steadily from 1960 and is

projected that it will increase through the next several decades as composites replace

metallic materials in many applications.

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Figure 2.1 Relative importance of material development through history (Leny, 2009)

One of the biggest benefits of composites is that the properties are adjustable per

design parameters, for example, the mecchancial properties, content, orientation and fiber

architecture, and the properties of the matrix are all materails design parameters.

Composite materials play a key role in industries like aerospace and automobile because

of their outstanding strength to weight ratio and modulus to weight ratio (Figure 2.2). Some

of these composites like graphite, Kevlar, boron or silicon carbide fibers in polymeric

matrices have been studied extensively because of their applications in aerospace and space

vehicle technology (Nielsen, 1972; Woods, 1994; Sohn, 2001; Rajeev, 2003)

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Figure 2.2 Strength to weight ratio of composites (©Cambridge University Engineering

Department, 2009)

2.2 Defects in Aerospace Composite Structures:

Defects in carbon fiber composite structures are produced either during the

manufacturing process or in the course of normal service life of the structure. There are

multiple types of defects that are caused during manufacturing process. Porosity is one of

the important defect in manufacturing process which is the presence of small voids in the

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matrix (Kastner, Plank, Salaberger, & Sekelja, 2010). This can be caused by incorrect cure

parameters such as pressure, temperature or duration of cure. Sandwich structures with

honeycomb cores can suffer due to poor bonding of skin to the core. Dis-bonding can occur

at these skin-to-adhesive or adhesive-to-core interactions (Fruehmann, Wang, Dulieu-

Barton, & Quinn, 2011).

Service defects are mostly due to impacts. These impacts lead to matrix cracking

and delamination of the ply layers. Delamination is a critical failure mode in these

composite materials. In some cases the damage can be only internal referred as barely

visible impact damage (BVID) (Garnier, Pastor, Eyma, & Lorrain, 2011). Sandwich

structures can suffer from same matrix cracking and delamination in the skin during an

impact.

2.2.1 Manufacturing Defects in Composite Structures

There are multiple methods in manufacturing composite structures. All of these

methods aim to combine the fiber and matrix into one product. They can be separate before

manufacturing or can already be combined like prepreg materials. All of these different

methods selected to manufacture composites depend on the size and quality of the products

required. Higher quality structures are usually used in aerospace applications to minimize

weight, which are manufactures using hot pressing method or autoclaving.

During all these manufacturing processes, defects can be introduced into the

structure and their effects depend on the process used to manufacture them and their

applications. Multiple defect types have been identified including the following (Smith,

2009):

i. Porosity: Voids are created due to improper curing.

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ii. Foreign bodies: Knowingly/unknowingly adding foreign bodies.

iii. Fiber vol. fraction: Incorrect fiber volume fraction due to excess or

insufficient resin.

iv. Bonding: Bonding defects during manufacturing.

v. Fiber misalignment: This causes local changes in volume faction by

preventing ideal packing of fibers.

vi. Ply misalignment: Mistakes made in layup of plies cause this defect.

This alters overall stiffness and strength of the laminate.

vii. Incomplete cure: Incompletely cured matrix during curing cycle.

viii. Wavy fibers: These are produced by in-plane kinking of the fibers

and can seriously affect laminate strength.

ix. Fiber defects: The presence of defects in fibers themselves is one

of the limiting factor in determining strength, these defects are considered

as one of the basic material properties.

2.2.2 In Service Defects in Composite Structures

Composite structures can degrade over time in service due to many mechanisms

and most of them are due to environment experienced defects. Some of these mechanisms

are static overload, impact, fatigue, overheating and lightning strike etc. The main detects

that are found in service are as following (Smith, 2009):

a. Delamination

b. Bond failures

c. Cracks

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d. Moisture entry

e. Fracture or buckling of fibers

f. Failure of interface between the fibers and matrix

All these mechanisms vary depending on the type of loading, and mechanical

properties of the constituents. Failure mechanisms are same in most composites but their

mode of occurrence vary depending on the type of loading and properties of the

constituents (Atiqullah, 2011). The major in service defect requiring detection in the

presence of delamination. Delamination can be produced by fatigue, bearing damage,

impact, etc (Xiong, 2010). Dis-bonding can also be found due to impacts. Cracks are the

ones that usually lead to delamination in a critical stage.

Moisture degrades the strength properties of composites that are matrix dependent

and also reduces residual strain (Smith, 2009). It may be possible to measure moisture

content nondestructively. Fracture of the fibers and failure of interface between the fibers

and matrix are due to impact (Kachanov, 2012). All these differ depending on application

and composite type.

Figure 2.3 Showing damage in a 4-ply laminated plate (Iowa State Univ.)

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Figure 2.3 is a photograph, reproduced from Iowa State University’s research on

nondestructive evaluation showing damage in a 4-ply laminated plate that was subjected

to thermal shock. One can see two types of cracks: cracking of the matrix material within

a ply, and separation cracks (delamination) at the boundary between plies. The carbon

fibers give the material the bulk of its strength, but rarely large cracks can be developed

without breaking many fibers.

2.2.3 Boeing 787 Dreamliner Delamination Issue

As an example of these type of manufacturing defect one can refer to Boeing

Dreamliner 787 delamination issue caused in 2012. According to Flightglobal, the

structural stiffeners were found to be improperly joined to the composite skin in the aft

sections of the aircraft, causing parts of the aircraft's carbon fiber to delaminate.

Boeing has found that incorrect shimming was performed on support structure on

the aft fuselage on certain airplanes in their facility in Everett. Flightglobal has confirmed

there are at least three affected airframes, Airplanes 56, for All Nippon Airways, where the

problem was first discovered, and Airplanes 57 and 58, were the first two aircraft for Qatar

Airways.

News articles (reference) mention that the stiffeners, or longerons that run along

the length of the aircraft, delaminate around the rear opening of the Section 48 section

above and below the cutout known as the "bird's mouth" that holds the Alenia Aeronautica-

built horizontal stabilizer.

When the longerons are installed on the wound carbon fiber barrel, frames and

longerons are secured to the skin of the structure to give it strength. When natural variations

in the fit of parts exists, aerospace mechanics will install shims, or spacers, which

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compensate for variations and wedge into structure to create a tighter fit. Without the

shims, damage can be sustained to the composite when fasteners are installed by pulling

the structure together, which cause damaging of the layers of carbon fiber. Over the long-

term composite delamination can decrease the fatigue life of the aircraft's structure.

Figure 2.4 Flightglobal news on 5th Feb, 2012

Boeing has faced manufacturing quality issues before, most notably in the June

2010 inspection, teardown and reinstallation of many Alenia Aeronautica-built horizontal

stabilizers were assembled without proper shimming, creating gaps in the structure that

threatened the fatigue life of the empennage, according to Flightglobal.

2.3 Carbon as Graphene and Carbon Nanotubes (CNTs)

We now discuss the properties of carbon nanotubes, graphene and nanocomposites

that are used in this work for damage detection application. Carbon is one of the most

studied elements in the periodic table. The versatility of chemical bonds enables many

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carbon allotropes. In three-dimensional form, carbon can exist as graphite and diamond,

which comprise of sp2 and sp3 covalent bonds, respectively. In the 1980s and 1990s,

another two types of carbon allotropes, the zero-dimensional fullerene (Kroto., 1991) and

one-dimensional carbon nanotubes, were discovered.

Figure 2.5 Carbon allotropes (i) diamond; (ii) graphite; (iii) lonsdaleite; (iv) C60

(Buckminsterfullerene); (v) C540; (vi) C70; (vii) amorphous carbon; (viii) single-walled

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carbon nanotube (Wikimedia. Created by Michael Ströck (mstroeck). CC BY-SA 3.0).

Ever since their discovery, their contribution to development of studies in the field

of physics, chemistry and material sciences is huge. There are many research studies on

the structure (Dresselhaus, Dresselhaus, & Saito, 1995), properties (Mintmire & White,

1995) and their various applications (Ajayan, 1997). Graphene is composed of a

honeycomb lattice of carbon atoms. Structurally, graphene is related to many carbon

allotropes (Figure 2.5). For example, carbon nanotubes can be formed by rolling graphene

along certain axes, and graphite can be formed by stacking graphene vertically (Geim &

Novoselov, 2007).

Carbon nanotubes are basically rolled up graphene sheets (hexagonal structures)

into cylindrical form and capped with half shape of fullerene structure. Many of the

properties of CNTs are due to the way the graphene sheets are wrapped around. There are

two types of carbon nanotubes:

(a) Single walled carbon nanotubes (SWNTs), formed by rolling a single graphene

sheet into a cylinder (Figure 2.6). SWNTs with their high length to diameter

ratio, atomic strength and chemical stability constitute one-dimensional

molecules (Gommans, Alldredge, Tashiro, Park, Magnuson, & Rinzler, 2000)

Figure 2.6 SWNT and MWNT

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(b) Multi walled carbon nanotubes (MWNTs), can be considered as stacking of

several layers of graphene in the form of cylinders with an interspacing of

around 0.36nm (Figure 2.6). The length and diameter of MWNTs differ a lot

from SWNTs and, of course, their properties are also very different.

Carbon nanotubes have unique electronic and mechanical properties which are

achieved by chemically processing these CNTs in order to purify and get required property

in them. CNTs can be metallic or semiconducting depending upon the atomic

arrangements. A large number of these nanocomposites are produced in various methods

such as arc evaporation method, electrolysis, laser ablation, chemical vapor deposition, etc.

(Ying, Salleh, Yusoff, Rashid, & Razak, 2013). Production of carbon nanotubes in a

controlled way in large quantities could potentially encounter problems that remain to be

solved.

2.4 Properties of Carbon nanotubes (CNTs)

Carbon nanotubes have very unique thermal, electrical and mechanical properties.

In spite of no direct methods to prove their properties, several experimental tests like SEM,

AFM, TEM, nanoindentation, etc. and theoretical methods like molecular dynamics,

continuum model, etc. are used to describe the mechanical properties of carbon nanotubes

(Coleman, Blau, Dalton, Munoz, Collins, Kim, ... & Baughman, 2006).

Experimental studies of Georgakilas et al., found that high stiffness, high modulus

and low density carbon nanotubes can be ideal material for fabrication of different

composites (Georgakilas, Perman, Tucek, & Zboril, 2015). Yu et al. showed that only outer

layer in a MWNT was able to withstand higher loadings while inner layers were observed

to be very weak (Yu, 2000). These ultimate measurements were carried out and managed

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to perform stress-strain measurements on individual arc-MWNTs inside an electron

microscope and for a range of tubes the modulus ranges from 0.27 to 0.95 TPa. Fracture of

MWNTs occurred at strains up to 12% and width strengths in the range 11-63 GPa (Prato

& Maurizio, 2009).

Along with these mechanical properties, electronic properties of carbon nanotubes

are also studied. Theoretical studies conclude that depending upon the diameter and

chirality of the tube, carbon nanotubes may be either metallic or semiconducting (Terrones,

2013). In several experiments using scanning tunneling microscope (STM), it is observed

that the tunneling conductance is a direct measure of local electron density of states of

carbon nanotubes (Mittal & Garima, 2015).

The electrical resistivity of metallic carbon nanotubes was observed to be around

10-8 to 10-7 ohm-m (Charlier & Issi, 1996) and the electrical conductivity of individual

MWNT is measured by four probe measurements using lithographic deposition of tungsten

to be in the range of 107 to 108 S/m (Ebbesen, Lezec, Hiura, Bennett, Ghaemi, & Thio,

1996). Along with these properties, carbon nanotubes show high thermal conductivity also.

New studies show that ultra-small SWNTs have shown superconductivity below 20oK and

the high value of 6000 W/mK was shown by isolated nanotubes, which is comparable to

graphene monolayer and diamond (Berber, Kwon, & Tománek, 2000). The small diameter

and high aspect ratio of CNTs is favorable for field emission, which results from the

tunneling of electrons from metal tip into vacuum under application of strong electric field.

2.5 Buckypaper (CNT Sheet)

Buckypaper (BP) is an outstanding material which contains entangled networks of

CNTs formed by Van der Waals interactions (Baughman, 1999), which is an effective way

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of introducing carbon nanotubes into composites (Endo, Muramatsu, Hayashi, Kim,

Terrones, & Dresselhaus, 2005). Buckypaper can be produced in large sizes and provides

ease of handling, and improves the safety of using CNTs in industrial manufacturing

facilities. Buckypaper can be fabricated by using double-walled CNTs (Gong, 2007),

SWCNTs (Teague, 2007), and MWCNTs (Xu, 2008).

Figure 2.7 Buckypaper used in this research from Nano Tech Labs

Due to its high CNT concentration, buckypaper provides great advantages to

enhance electrical properties (Cheng, 2010), actuation (Chen, 2010), fire retardancy (Wu,

2011), and electromagnetic interference shielding properties in composites (Gnidakouong,

Kim, Park, Park, Jeong, Jung, & Park, 2013).

A number of techniques for fabricating buckypaper have been proposed. Some of

which are:

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i. A vacuum filtration method for fabricating large-area buckypaper less than 200

nm thick (Hennrich, Lebedkin, Malik, Tracy, Barczewski, Rösner, & Kappes,

2002).

ii. Fabrication of buckypaper by liberation of electrophoretically deposited carbon

nanotubes (Rigueur, Hasan, Mahajan, & Dickerson, 2010).

iii. Fabrication of highly oriented buckypaper made of aligned carbon nanotubes

(Zhang, Jiang, & Peng, 2014).

Figure 2.8 SEM micrograph of buckypaper

Due to the component material (CNTs), microstructure and properties of

buckypaper in the past decade, buckypaper and buckypaper composites have been

extensively studied. It is believed to be an excellent material for many engineering

applications, such as electrodes, actuators, sensor, and heat conductors and as

reinforcement for polymer composites (Chen, 2013). Some of the studies which

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demonstrated sensors made of CNTs are:

a. Li et al. demonstrated the potential of carbon nanotube films in measuring strain at

the macro scale (Li & Dharap, 2004).

b. Kang et al. developed a composite electrical resistance strain sensor based on

SWNTs, and it was used to measure the strain of a structure at the macro scale

(Kang, Schulz, Kim, Shanov, & Shi, 2006).

c. Li et al. have studied the possibility of using multiwall carbon nanotube

(MWCNTs) films as strain sensors (Li, Levy, & Elaadil, 2008).

d. Gao et al. reported a simple approach to deposit multi-walled carbon nanotube

(MWNTs) networks onto glass fiber surfaces achieving semi conductive MWNTs-

glass fibers, along with application of fiber/polymer interphase as in situ

multifunctional sensors (Gao, Zhuang, Zhang, Liu, & Mäder, 2010).

These features make buckypaper an excellent candidate for manufacturing large-

scale composite samples with carbon fiber prepreg to achieve high CNT loading. This

thesis also develops a finite element model to explain the experimental observations using

Abaqus/CAE. This next section gives an introduction to finite element models for

delamination and fracture.

2.6 Finite element models of Delamination

Delamination brings significant material degradations in both stiffness and strength

under compression, tension and flexural loading. It occurs under any combinations of

mixed Mode I, Mode II, and Mode III. Different methods have been used to model and

simulate these delamination. Some of the widely used methods are Extended Finite

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Element Method (XFEM), Cohesive Zone Model (CZM) and Virtual Crack Closure

Technique (VCCT).

2.6.1 eXtended Finite Element Method (XFEM)

The extended finite element method (XFEM), also known as generalized finite

element method (GFEM) or partition of unity method (PUM) has been used very

successfully to model cracks because the finite element mesh can be created independent

from the crack geometry, and in particular the domain does not have to be remeshed as the

crack propagates (Richardson, Hegemann, Sifakis, Hellrung, & Teran, 2009). Richardson

et al. used XFEM method for modelling geometrically elaborate crack propagation in

brittle materials. This method was developed to reduce difficulties in solving problems

with localized features that are not efficiently resolved by mesh refinement.

One of the initial applications was the modeling of fractures in a material. A key

advantage of XFEM is that the finite element mesh does not need to be updated to track

the crack path (Jiang, 2013). In recent years, the extended finite element method (XFEM)

has emerged as a powerful numerical procedure for the analysis of fracture problems. It

has been widely acknowledged that the method eases fracture growth modeling under the

assumptions of linear elastic fracture mechanics (LEFM).

Since the introduction of the method in 1999, many new extensions and

applications have appeared in the scientific literature (Karihaloo & Xiao, 2003). XFEM

has been used in the study of composite delaminations (Motamedi, 2014; Motamedi, 2013;

Hulton, 2015; Sosa, 2012).

2.6.2 Cohesive Zone Model (CZM)

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Cohesive zone model (CZM) is one of the most versatile evolutions in the area of

fracture mechanics. These partition of the surfaces involved in the cracks takes place across

an extended crack tip, or cohesive zone, and is resisted by cohesive tractions (Liu, 2013).

The concept of cohesive zone ahead of the crack tip, which was introduced by Dugdale

(Dugdale, 1960) and Barenblatt (Barenblatt, 1962) has become a guiding idea for a class

of crack propagation models. Figure 2.9 shows the schematic of cohesive zone model for

various failure phenomena: damage is localized in an interface.

Figure 2.9 Schematic of cohesive zone model (CZM) (Scheider, 2006)

A cohesive model in combination with finite elements was first used for concrete

(Hillerborg, Modéer, & Petersson, 1976) and, more than ten years later, also for metals

(Needleman, 1990). Interface elements obeying a cohesive law are introduced between the

continuum elements. New applications cover a variety of phenomena like viscoplastic

(Corigliano, 2001) and viscoelastic (Rahu, 1999) separation behavior, the modelling of

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fragmentation (Repetto, Radovitzky, & Ortiz, 2000) and fiber de-bonding, failure under

dynamic and cyclic loading (Roe & Siegmund, 2003).

The respective cohesive law has to be chosen in dependence on the

micromechanical damage mechanism leading to fracture. Commonly, two material

parameters, namely a cohesive strength, and a critical separation, are chosen to characterize

the cohesive behavior. Finite element simulations with cohesive elements run numerically

stable up to large amounts of crack extension and yield very good results for structures

with different size and constraint conditions.

CZM can be applied to both 2D (Cornec, 2003) and 3D (Gao, 2006) structures.

Some studies of CZM to composite delamination include Milad saeedifar’s delamination

growth prediction (Saeedifar, 2015), Qiang Ye’s cohesive strength predication for

composite delamination (Ye, 2011), Libin Zhao’s simulation of delamination using

cohesive elements (Zhao, 2014) and Jalal Yousefi’s CZM to simulate delamination growth

(Yousefi, 2015).

2.6.3 Virtual Crack Closure Technique (VCCT)

The virtual crack closure technique (VCCT) is widely used for computing energy

release rates based on results from continuum (2D) and solid (3D) finite element (FE)

analyses to supply the mode separation required when using the mixed mode fracture

criterion (Jimenez, 2004). Lately, an increased interest in using a fracture mechanics–based

approach to assess the damage tolerance of composite structures in the design phase and

during certification has also renewed the interest in the virtual crack closure technique

(Tay, 2003).

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The VCCT can be used to analyze delamination in laminated materials using a

fracture mechanics approach. The method implements linear elastic fracture mechanics

(LEFM). This LEFM method is used for delamination analysis in composite laminates

which determines the total strain energy release rate (GT) which is the sum of individual

components GI, GII, and GIII (Mohammed, 2014).

The virtual crack closure technique (VCCT) is the most popular and powerful tool

to approximately compute G's values. It was first introduced by Rybicki and Kanninen

(Rybicki, 1977) for 2D crack problems and was extended to 3D crack problems by

Shivakumar (Shivakumar, Tan, & Newman, 1988).

Wang et al. made significant contributions to improve the accuracy and enhance

the capability of the approach (Wang & Raju, 1996). Some applications of VCCT include

the delamination of composites (Krueger & O'Brien, 2001), the de-bonding of skin-

stiffeners (Krueger, Paris, O'Brien, & Minguet, 2002), and the failure of adhesively bonded

joints (Xie, Chung, Waas, Shahwan, Schroeder, Boeman, & Klett, 2005). VCCT based

crack-growth simulation can be created involving the following assumptions (Reeder,

Song, Chunchu, & Ambur, 2002):

a. Crack growth occurs along a pre-defined crack path.

b. The path is defined via interface elements.

c. The analysis is quasi-static and does not account for transient effects.

d. The material is linearly elastic and can be one of isotropic, orthotropic

or anisotropic material.

Abaqus/CAE has been used in this research to create the finite element model for

delamination analysis. Delamination in aerospace structures at the Boeing Company have

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been extensively investigated using VCCT implementation in Abaqus.

2.6.4 Abaqus software

Figure 2.10 Abaqus/CAE main user interface

The core of the Abaqus are Abaqus/Standard and Abaqus/Explicit which are the

analysis modules tools integrated into Abaqus. Abaqus/Standard is a general purpose finite

element module. It is used in analyzing many types of problems including nonstructural

applications. On the other hand Abaqus/Explicit is an explicit dynamics finite element

module in Abaqus. Abaqus/CAE (Complete Abaqus Environment) incorporates the

analysis modules for modeling, managing and monitoring Abaqus analyses and results.

Abaqus/CAE can be customized to create application specific systems. It integrates

modeling, analysis, job management and result evaluation seamlessly. It also provides

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complete interface with Abaqus solver programs available.

Abaqus/CAE has one of the best modern graphical user interface (GUI) with icons,

menus and dialog boxes. This GUI provides access to all capabilities, accelerate access to

frequently used features and to select various other options.

Abaqus/CAE has various modules that are easily accessible. Each module contains

a logical subset of the overall functionality. It also has a Model Tree with a graphical view

of the model created, and all the objects that it contains, as shown in Figure 2.11. It acts

like a convenient, centralized tool for moving between modules and for managing objects.

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Figure 2.11 Model Tree with all modules and objects

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Experimental Procedure

There were three considerations in detecting delamination in carbon fiber

composites that were addressed:

(i) Fabricating piezoresistive nanocomposite sensor

(ii) Fabricating carbon fiber prepreg composite sample (with and without

delamination)

(iii) Embedding nanocomposite on composite sample, and mechanical testing

of the samples (Three point bend flexural test)

3.1 Fabricating nanocomposite sensor

Buckypaper (BP), which is a thin sheet of carbon nanotubes (CNTs) show a great

promise in fabricating multifunctional nanocomposites. One of the serious problems to the

use of CNTs in engineering applications is the inability to synthesize long nanotubes which

is why buckypaper is used in this research to fabricate the sensor. Buckypaper can be

considered as a composite by two ways. One by infusing with resin and the other one by

incorporating into conventional fiber reinforced composites (Wang, Liang, Wang, Zhang,

& Kramer, 2004). Unlike the CNTs directly added into matrix, buckypaper based

composites have much higher concentration of CNTs and high conductivity.

This research uses epoxy resin as matrix material in fabricating buckypaper based

composite sensor (Piezoresistive Nanocomposite). Epoxy modified by adding coarse

graphene platelets, is utilized in fabricating these nanocomposites. Tensile tests and

simultaneous electrical resistivity measurements are performed on these nanocomposite

samples which are used for further analysis in detecting delamination in carbon fiber

composites.

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3.1.1 Materials

The buckypaper (multiwall CNT sheet) was procured from NanoTech Labs

which consists of 100% free standing nanotubes. This buckypaper has an area

density of 21.7 g/m2 and surface electrical resistivity of 1.5 W/m2. The electrical

resistivity was measured independently through experiments.

The graphene sheet (6 inch x 6 inch) supplied by Graphene Supermarket

has low resistance of 2.8x10-2 W/m2. It is used as coarse graphene platelets after

finely chopping the graphene sheet in to size between 300–1000mm. This graphene

sheet is made out of multiple layers of nanoscale fine graphene platelets adhesively

bonded together.

The silver epoxy resin supplied by MG chemicals has high conductivity and

high adhesive properties. This epoxy has a 1:1 mix ratio of epoxy and hardener and

a 4 hour working time. This conductive epoxy is used in attaching electrodes to

nanocomposites.

The regular epoxy resin is a West System # 105 Epoxy Resin with West

System # 206 Slow Hardener. This epoxy has a 5:1 mix ratio of epoxy and hardener,

and a 20 minute working time. This epoxy is a light amber, low-viscosity liquid

epoxy resin specifically formulated as functions of wetting out, bonding with fiber

glass, carbon fiber and other materials.

The other materials required for the fabrication include copper plates,

peelply, breather film, aluminum tooling plate, epoxy mixing cups, vacuum bag

and complete vacuum set-up.

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3.1.2 Procedure

Figure 3.1 Buckypaper strip

The buckypaper is cut into strips of size 6.35cm x 1.27cm using a laser blade

as shown in Figure 3.1 and copper plates gauging 32 with dimension 1.27cm x 1.27

cm are attached to both sides of cut buckypaper strips using the conductive silver

epoxy paste as shown in Figure 3.2.

Figure 3.2 Buckypaper strip with copper plates

These attached copper plates are used for conductivity measurement during

experiments. These buckypaper strips with copper plates are placed on a peelply

which is again placed on a flat aluminum tooling plate as shown in Figure 3.3.

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Figure 3.3 Buckypaper strips with copper plates on tooling plate

The coarse graphene platelets (5 wt. %) are mixed into the epoxy resin

evenly without mixing hardener as shown in Figure 3.4. Hardener is mixed later

before applying on the buckypaper strips. This increases the working time before

the resin solidifies. The weight of graphene is calculated before to ensure right

weight of graphene in the final mixture (Li & Namilae, 2016).

Figure 3.4 Epoxy resin and Epoxy resin mixture

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This epoxy mixed with 5 wt. % graphene platelets after adding hardener is applied

to both sides of buckypaper strip samples on the tooling plate. The set-up is now covered

with peelply followed by breather film (removes excess epoxy). The final set-up is covered

with a vacuum bag of pressure 88.05 KPa. This vacuum bagging procedure helps the

breather film to absorb extra epoxy.

Figure 3.5 Vacuum bagging schematic

The general vacuum bagging setup is shown in Figure 3.5 for fabricating the

piezoresistive nanocomposite. These nanocomposite samples are peeled from the peelply

after curing the resin for 12 hours at room temperature. The curing time and curing

temperature will vary from one epoxy mixture to another.

To follow up, the buckypaper is cut into strips and copper plates are attached to the

strips which act as electrodes followed by adding graphene platelets and curing them by

applying vacuum which gives the required piezoresistive nanocomposite sensor. Figure 3.8

shows the SEM micrograph of coarse graphene platelets and CNTs on the nanocomposite

sensor.

Vacuum Bag Vacuum

Breather

Sealing

Tape

Release Film

Peel ply

Nanocomposite Strip

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Figure 3.6 Showing Buckypaper strip, attached copper plate and final sensor

Figure 3.7 Peeled off nanocomposite sensors

Figure 3.7 shows some of the peeled off piezoresistive nanocomposites

which are ready for further testing.

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Figure 3.8 SEM micrograph of coarse graphene platelets and CNTs on the sensor

3.2 Fabricating carbon fiber prepreg composite laminate

Carbon fiber prepreg is conventional carbon fiber that has been pre-impregnated

with partially cured resin during manufacture. Because the resin has already been mixed

with hardener, this carbon fiber prepreg needs to be stored at very low temperatures to

prevent the resin from curing before it is used. The strength of carbon fiber is its weave.

The more complex the weave, the more durable the composite will be.

The angle of the weave and the type of resin used with the fiber will determine the

overall strength of composite. The resin is commonly the epoxy that is applied to the carbon

fiber fabric by precisely calibrated machinery with required ratio of resin to reinforcement.

This material has a wide range of applications, as it can be formed at various densities in

unlimited sizes and shapes.

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The advantages of carbon fiber composites are their high stiffness, high strength to

weight ratio, excellent fatigue endurance, corrosion resistance, impact resistance and, as

discussed earlier, their flexibility in design adapt them to any design requirements.

Despite the many advantages, carbon fiber composites also have few disadvantages

such as high material cost, high fabrication cost, and requirements for nondestructive

inspection techniques to detect flaws and damages. This research helps in that direction by

introducing a new sensor for in-situ detection of delamination in composites.

3.2.1 Materials

The carbon fiber prepreg (CF3327-1 EPC: Se-019K) supplied by Hankuk

Carbon is based on 250oF (121oC) curing, consists of a carbon fabric impregnated with

epoxy resin which includes Carbon 3K as a warp and Carbon 3K as a fill. The Fiber

area weight (FAW) of this prepreg is 200 g/m2. The weave of this prepreg is 2X2 twill.

The fiber volume fraction and resin contents are 50% and 40%, respectively. The shelf

life of this prepreg is 6 months at storage temperature of below -18oC. This material is

suitable for fabricating high performance composite structures according to Hankuk

Carbon.

The genesis series hydraulic compression press supplied by Wabash MPI is

ideal for compression molding of rubber, plastic, composites and laminating with

clamp force calculated from 15 to 150 tons of weight. This press features steel platens,

programmable controller, automatic transition from closing to pressing speed, pressure

relief valve with analog pressure gauge, internal hydraulic system with high efficiency

motor, reservoir & water –cooled heat exchanger, digital temperature controls and

many more. This hydraulic compression composite molding press is used to replicate

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the pressure – temperature cycle of an autoclave cure.

Figure 3.9 Typical autoclave cure cycle (Hankuk Carbon)

The other materials required for the fabrication of carbon fiber composite

laminate using Wabash hydraulic compression molding press are tooling plate, electric

scissors, ruler, protractor, a roller, markers, Teflon tape and a 650X tile wet saw.

3.2.2 Fabrication Procedure

Figure 3.10 Carbon fiber prepreg strip

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The carbon fiber prepreg is cut into multiple 15.24x15.24x10-2m strips with 0o

and 45o alignment using electric scissors as shown in Figure 3.10. A clean tooling plate

is taken and eight of these strips are used to layup an 8-ply layup with (0o/45o)4 layup.

A roller is used to roll after laying up each layer to prevent air gaps as shown

in Figure 3.11. Once the layup is completed, this setup is now moved to Wabash

composite compression molding press which is preheated to 250oF. The press is set to

a pressure of 35 psi which is recommended by Hankuk Carbon for curing the prepreg.

A small program is written in the press to cure the prepreg for 90 minutes at 250oF.

This can be seen in Figures 3.12 and 3.13.

Figure 3.11 Prepreg layup using a roller to avoid air gaps

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Figure 3.12 Wabash Press used in curing prepreg

Figure 3.13 Digital temperature controls on Wabash press

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41

Once cured, an 8 ply composite carbon fiber laminate of dimensions 15.24cm x

15.24cm (6”X6”) is fabricated. This fabricated laminate is later cut into six pieces of

2.54cm x 15.24cm (1”X6”) samples using a 650XT tile wet saw. The similar procedure is

followed for fabricating delaminated composite samples.

For delaminated composite laminate fabrication, after laying up four layers of

prepreg on tooling plate, one layer of Teflon (PTFE) tape of dimension 7.62cm x 15.24cm

is laid on the fourth layer from half to one end. Remaining four layers of prepreg are laid

and the setup is cured as earlier. Once cured a composite laminate with known delamination

fabrication is completed. Using a 650XT tile wet saw six samples of dimension 2.54cm x

15.24cm (1”X6”) are cut from the laminate. These sample have 2.54cm x 7.62cm

delamination in them as shown in Figure 3.14.

Figure 3.14 Delamination in composite laminate sample (schematic)

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3.3 Preparing samples for testing

After the fabrication of piezoresistive nanocomposite and making carbon fiber

composite laminate samplse, the next step is to attach the piezoresistive nanocomposite

sensor on top of the carbon fiber composite laminate sample. Materials required for

this process are primarily nanocomposite sensor and composite laminate sample,

followed by the regular epoxy resin which is a West System # 105 Epoxy Resin with

West System # 206 Slow Hardener.

Figure 3.15 Laminate samples and nanocomposite sensors side by side

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43

This epoxy has a 5:1 mix ratio of epoxy and hardener, a 20 minute working

time. Vacuum bagging setup is used to cure the epoxy under pressure to remove any

air gaps between sensor and laminate sample.

Figure 3.16 Vacuum bagging setup for attaching nanocomposite sensor

Peelply and breather are used during vacuum bagging to peel off the final

samples and to absorb excess epoxy, respectively. This setup as shown in Figure

3.16 is left for 12 hours to cure in room temperature.

Figure 3.17 Sample soldered with copper wires

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Once cured, the finals samples are peeled off and copper wires are soldered to

the copper tabs on nanocomposite sensor to facilitate stable resistance measurement as

shown in Figure 3.17.

3.4 Electro-Mechanical measurement & Data acquisition

The resistance measurement of nanocomposite sensor is obtained by four point

probe testing method to IEEE and ASTM standard testing methods (ASTM, 2004;

IEEE, 2005; ASTM, 2005). This four point testing technique is specially designed to

measure sheet resistance of thin films. This technique is designed to use separate pairs

of current carrying and voltage sensing electrodes to make accurate measurements than

two terminal testing method which is simpler and more common. Hence, this method

is used in this research for resistance measurements.

This method works by forcing a current through the nanocomposite and

measuring voltage using a four-wire Kelvin-connection scheme. The resistance of the

sample is calculated using Ohm’s Law by passing a controlled current (0.5 Amperes)

and recording a voltage drop (ΔV) which is shown in Figure 3.18. The change in

resistance can be monitored by the LabVIEW.

Voltage drop using Ohm’s law: V

RI

Figure 3.18 Schematic of voltage drop setup

I

c

Power supply

DAQ

R

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45

National Instruments LabVIEW system design software with a graphical

programming syntax that makes it simple to visualize, create, and code engineering

systems, is unmatched in helping engineers translate their ideas into reality, reduce test

times, and deliver business insights based on collected data. A LabVIEW code is developed

to monitor the voltage drop with a data acquisition system (DAQ) as shown in Figure 3.19.

Figure 3.19 LabVIEW code developed for data acquisition

A tensile test on the nanocomposite is performed using CS-225 Digital Force

Tester. A constant head speed of 0.16 mm/sec is applied to the nanocomposite samples and

the resistance change is recorded as the sample is subject to loading simultaneously.

Followed by this tensile test, a three point bending test is performed on the final laminate

samples.

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3.5 Experimental setup of flexural test

The sample soldered with copper wires (as in Figure 3.17) is marked for flexural

test according to ASTM D7264: Standard test method for Flexural Properties of Polymer

Matrix Composite Materials.

Figure 3.20 ASTM D7264: Three-point loading diagram

In the three-point configuration, the maximum flexural stress is located directly

under the center force application member unlike in four-point configuration the bending

moment is constant between the central force application members. The resultant vertical

shear force in the three-point configuration is present everywhere in the beam except right

under the mid-point force application member. The equations for the three-point setup are

as follows:

a. Maximum flexural stress 2

3( )

2f

FL

bd

b. Maximum strain 2

6( )f

Dd

L

c. Flexural modulus of elasticity 3

3( )

4f

L mE

bd

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Where, L is the support span, b is the width of test beam, d is the depth of test beam,

F is the load at any given point and D is the maximum deflection. Once marked with the

appropriate dimensions from ASTM D7264 standard, the samples are ready for three-point

flexural test.

Figure 3.21 Three-point setup for MTS testing system

Figure 3.22 MTS Testing system

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A standard flexural setup for ASTM standard as shown in Figure 3.21 is used in a

MTS testing system shown in Figure 3.22 for doing the test.

Figure 3.23 Three-point setup for flexural test (ASTM D7264)

The three-point setup is fixed into the MTS testing machine and the sample is kept

between the top and bottom fixture of the setup such that the ASTM markings are aligned

with the roller pins on the three-point setup. The wires of the sample are connected to the

power source as well as the data acquisition system (DAQ) and this whole setup is

controlled using a MTS controller. The DAQ is connected to a computer with LabVIEW

installed in it. A current of certain value is applied to the nanocomposite on the sample.

LabVIEW code developed (shown in Figure 3.19) monitors and controls the

voltage on the sample and MTS testing machine respectively. LabVIEW measures the

voltage drop and corresponding applied load along with the displacement on the on the

sample. The measured voltage is voltage drop resulting from the resistance of the

nanocomposite. The measured load is the load applied to bend the sample for flexural test.

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The measured displacement is the deflection of the center of the sample. The voltage drop

is unstable at the beginning when the current start to flow through samples and then

stabilizes to a constant value.

Figure 3.24 Sample, under load and after deformation

LabVIEW measures the drop in voltage and force-displacement-time

simultaneously while the sample is deformed. The voltage drop data is used to calculate

change in resistance in the nanocomposite while force-displacement data can be used to

calculate stress-strain data using ASTM standard equations. Same three-point flexural

setup is setup for a delaminated sample as well. The voltage drop and force-displacement

data for the delaminated sample are also recorded in LabVIEW. From that data, change in

resistance and stress-strain data is calculated.

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Experimental results of Mechanical and Electrical Behavior of

Composites

Results of mechanical properties and stress-strain plots of the piezoresistive

nanocomposites and the composite laminate samples are presented later in this chapter.

4.1 Mechanical properties of CNTs and carbon fiber composites

4.1.1 Mechanical properties of CNTs

From the moment carbon nanotubes are discovered, it was expected that they would

display good mechanical properties like graphite. Graphite had an in-plane modulus of 1.06

TPa and transverse elastic modulus is 36GPa (Palaci, 2012). CNTs are expected to display

similar stiffness. It is estimated that tensile strength of graphene is as high as 130 GPa and

elastic modulus of graphene is determined to be 1000 GPa (Charles & Gilmore, 2014) from

the properties of C-C bonds.

The calculated Young’s modulus of SWNT using ab initio local density

calculations to determine the parameters in a Keating potential was 1500 Gpa (Overney,

1993), similar to that of graphite. The first direct measurement of Young’s modulus of arc-

MWNTs pinned at one end using an atomic force microscope (AFM) which gave an

average value of 1.28 TPa (Wong, Sheehan, & Lieber, 1997).

Yu et al. in 2000 performed stress-strain measurements on individual arc-MWNT

inside an electron microscope, for a range of tubes they obtained modulus values of 0.27 –

0.95 TPa (Yu, 2000). They also showed fracture of MWNT at strains of up to 12% and

with strengths in the range of 11 to 63 GPa.

The mechanical properties of buckypaper (CNT sheet), with van der Waals bonds

between CNTs, are much lower than those of single CNT. Because of the weak Van der

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51

Waals Force in buckypaper, the stress cannot be effectively transferred between CNTs.

Measured Young’s moduli of this porous fibrous material reach maximum value of 2 GPa

(Yeh, 2007), which is approximately 0.2 % of the modulus of SWCNT. Compared to

values reported in the literature, Young’s Modulus and tensile strength achieved in our

experiments are lower because the buckypaper used in our work consists of randomly

oriented multiwall nanotubes.

Table 4.1 Young's Modulus and Tensile Strength of buckypaper/polymer nanocomposites

Young's

modulus (GPa)

Tensile

strength (Mpa)

Average tube

diameter (nm)

Average rope

diameter(nm) Reference

8 30 0.8 10~50 (Sreekumar et al.,

2003)

6.9 57 0.8 10~50 (Coleman et al.,

2003)

2.3 6.29 0.8 10~50 (Baughman et al.,

1999)

1.1 17.7 0.8 (Pham et al.,

2008a)

4 32.3 0.8 (Pham et al.,

2008a)

1.5 13.5 1.36 (Pham et al.,

2008a)

2.7 33.2 1.36 (Pham et al.,

2008a)

4.1.2 Mechanical properties of carbon fiber composites

Carbon fiber composite materials in practice can be subjected to a wide variety of

different loading conditions in the form of mechanical stresses and environmental effects

that are related to temperature and moisture (Friedrich, 1989). Mechanical stresses occur

under different types of loading, such as tension, compression, and fatigue in structural

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components. The mechanical properties of carbon fiber composite material used in this

research provided in seller data sheet (Cure 275 oF – Autoclave) are as follows:

Table 4.2 Mech. properties of CF lamina cured for 90min at 275 oF by Autoclave

(Hankuk carbon co. LTD, CF3327-1 EPC : SE-019K)

Specimen Units Results Temp (oC) Test Method

Tensile Strength 0o MPa 716 23 25

Tensile modulus 0o GPa 66 23 25

Poisson’s Ratio 0o - 0.053 23 4

Comp. Strength 0o MPa 547 23 0.20

Comp. modulus 0o GPa 60 23 440

Flex. Strength 0o MPa 930 23 425

Flex. modulus 0o GPa 56 23 440

Inter laminar shear strength 0o MPa 68 23 425

4.2 Experimental results of mechanical properties

Figure 4.1 Stress - Strain plot of nanocomposites with coarse graphene platelets (5 wt. %)

0

2

4

6

8

10

0 0.01 0.02 0.03 0.04 0.05 0.06

Str

ess

(MP

a)

Strain

Stress - Strain

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53

The stress-strain plot of piezoresistive nanocomposite with 5 wt. % coarse graphene

platelets is shown in Figure 4.1. The maximum stress on the nanocomposite is observed to

be 9.83 MPa and the maximum strain observed to be 0.06. The Young’s modulus is

calculated to be 163.83 MPa.

Similarly, the stress-strain plot for a tension test is shown in Figure 4.2 and Flexural

stress-strain plot for the non-delaminated carbon fiber composite sample calculated from

the force-displacement data from LabVIEW which is plotted in Figure 4.3. The maximum

flexural stress is observed to be 408.26 MPa and the maximum flexural strain is observed

to be 0.0194 mm/mm. The flexural modulus is calculated to be 21.04 GPa. On the other

hand, the stress-strain plot for delaminated sample is also plotted in Figure 4.4. The

maximum flexural stress is observed to be 272.14 MPa and the maximum flexural strain is

observed to be 0.028 mm/mm. The flexural modulus is calculated to be 9.7 GPa.

Figure 4.2 Stress - Strain plot of composite sample in Tension

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54

Figure 4.3 Stress - Strain plot of non-delaminated composite sample (ASTM D7264)

Figure 4.4 Stress - Strain plot of delaminated composite sample (ASTM D7264)

0

50

100

150

200

250

300

350

400

450

0 0.5 1 1.5 2

Fle

xu

ral

Str

ess

(MP

a)

Flexural Strain 10-2

Stress - Strain

0

50

100

150

200

250

300

0 0.5 1 1.5 2

Fle

xura

l S

tres

s (M

Pa)

Flexural Strain 10-2

Stress - Strain

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4.3 Electrical properties of CNTs and carbon fiber composites

Several studies have focused over the past decade on piezoresistive polymers made

by dispersing CNTs into a polymer to form a conductive matrix (Karimov, 2012; Kang,

2006; Vemuru, 2009; Thostenson, 2008; Grow, 2005; Alamusi & Hu N, 2011; Dharap,

2004; Hu N, 2008; Hu N, 2010; Hu B, 2013). The conductive polymer can be molded to

any desired shape. The conductive nature of the carbon fibers allow their use in sensing. In

this research, the piezoresistive nanocomposite developed by addition of coarse graphene

platelets is used to detect the delamination by using the change in electrical propriety

(resistance) while applying load.

CNTs have high electrical conductivities and extremely large length to diameter

ratios (aspect ratio) and can improve the conductivity of the polymer matrix with only very

low content (Martin, Sandler, Windle, Schwarz, Bauhofer, Schulte, & Shaffer, 2005). They

are widely used in the production of conductive composites, electromagnetic shielding

materials and antielectrostatic materials (Mahapatra, 2008). In addition CNT based

electronics is one of the potential uses of nanotubes. The flexibility of nanoscale design

and the availability of both semiconducting and metallic nanotubes enable a wide variety

of device configurations, starting with an early prototypical devices utilized the surface on

which a nanotube was deposited as a gate (Tans, 1998; Martel, 1998).

Moreover individual CNT have excellent conductivity of about 105 – 108 S/m and

reaches a high aspect ratio up to 100 – 1000 (Laurent, Flahaut, Peigney, & Rousset, 1998).

It has been established that electrical conductivity of buckypapers and mechanical

characteristics decrease with increasing molecular mass of CNTs (Boge, Sweetman, &

Ralph, 2009). The results of electrical resistivity measurements of nanocomposite samples

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56

with deformation and without deformation are shown here. The electrical resistivity of

piezoresistive nanocomposite is obtained using the following expression:

( )R w t

l

Where, R is the calculated resistance by Ohm’s Law, w and t are the width and

thickness of piezoresistive nanocomposite and l is the length of composite strip.

Figure 4.5 Change in Resistivity - Strain plot of nanocomposites with coarse graphene

platelets (5 wt. %)

Figure 4.5 shows the change in resistivity vs strain plot of piezoresistive

nanocomposite with 5 wt. % coarse graphene platelets. All these values reported are

averaged from tests on five identical nanocomposite samples. From Figure 4.4 at maximum

strain of 0.06 mm/mm, the change in resistivity is observed to be 11.68x10-5 ohm-m.

0

2

4

6

8

10

12

0 0.01 0.02 0.03 0.04 0.05 0.06

Chan

ge

in R

esis

tivit

y 1

0-5

(ohm

-m)

Strain

Resistivity - Strain

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57

Figure 4.6 Change in Resistivity - Strain plot of non-delaminated composite sample

Figure 4.7 Change in Resistivity - Strain plot of delaminated composite sample

0

0.5

1

1.5

2

2.5

3

3.5

4

0 0.5 1 1.5 2

Ch

ange

in R

esis

tiv

ity 1

0-5

(oh

m-m

)

Flexural Strain 10-2

Resistivity - Strain

0

0.5

1

1.5

2

2.5

3

0 0.5 1 1.5 2

Chan

ge

in R

esis

tivit

y 1

0-5

(ohm

-m)

Flexural Strain 10-2

Resistivity - Strain

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Figure 4.6 shows the change in resistivity against strain plot of a non-delaminated

composite sample from three-point bend flexural test. From the plot at a maximum strain

of 1.94x10-2, a change in resistivity of 3.68x10-5 ohm-m is observed.

Similarly from Figure 4.7, which shows the change in resistivity against strain plot

of a delaminated sample, at the maximum strain of 2.08x10-2, a change in resistivity of

2.67x10-5 ohm-m is observed and maximum change in resistivity of 2.89x10-5 ohm-m is

observed at a strain of 1.87x10-2.

4.4 Scanning Electron Microscopy

The scanning electron microscope micrographs of the fracture specimen is shown

in Figure 4.8 and Figure 4.9.

Figure 4.8 SEM micrograph of fracture specimen

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Figure 4.9 SEM micrograph showing CNTs on fracture specimen

These SEM micrographs of fracture specimen indicate that the nanocomposite is

completely integrated into the composite layup and does not peel off after composite

deformation.

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60

Finite Element Model of Flexural Test

5.1 Finite element model of non-delaminated sample

The three-point bend flexural test (ASTM D7264) of the composite laminate is

modeled in the general purpose finite element software Abaqus using the standard module

for static analysis. Abaqus standard is used in analyzing many types of problems including

nonstructural applications. Abaqus/CAE (Complete Abaqus Environment) incorporates the

analysis modules for modeling, managing and monitoring Abaqus analyses and results.

The composite laminate is modeled using shell elements with 8-ply layup as in the

experimental setup as shown in Figure 5.1

Figure 5.1 Composite 8-ply layup in Abaqus/CAE

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61

The lamina properties (E11 = E22 = 66 GPa) are obtained from the supplier data

sheet for the composite. The assembly is modeled similar to three-point bend setup from

the flexural test as shown in Figure 5.2. The diameter of the rollers in the assembly is the

same as the diameter of the roller pins of the three-point bend setup from the experiments.

Figure 5.2 Assembly of three-point bend setup as experiments

Shell planar elements are used to model the laminate and solid extrude elements for

rollers. Contact properties with tangential and normal behaviors are given for the contact

between laminate and rollers. These contact properties are given with surface-to-surface

interactions. The location of rollers are as per ASTM standard as used in experiments.

After assembly, load is applied on the laminate model as in experimental setup and

all the results like applied load and displacement of the center of the laminate are collected

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62

and plotted in Abaqus/CAE. There are a total of 15808 linear quadrilateral elements of type

S4R in the laminate model with 16165 nodes. Figure 5.3 shows contour of the deformed

laminate when load is applied.

Figure 5.3 Strain contour of deformed laminate sample

5.2 Finite element model of delaminated sample using VCCT

Virtual Crack Closure Technique (VCCT) for Abaqus/CAE is a capability within

Abaqus that provides delaminated / debonding analysis capabilities for structures

containing bonded surfaces.

VCCT for Abaqus utilizes the convergence and stabilization algorithms and the

existing load incrementation capabilities. Supporting active delamination between bonded

surfaces, calculating crack growth based on fracture mechanics, inclusion of mixed mode

crack growth, computing intermediate crack shape, allowing VCCT to be performed during

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63

nonlinear analysis, etc., are some of key advantages of VCCT for Abaqus/CAE. In this

research, the delamination in the finite element model is incorporated using VCCT in

fracture criterion in the contact property. Direction of crack growth relative to local 1 –

direction is taken as maximum tangential stress direction. A tolerance of 0.2 with zero

viscosity is used in VCCT. The strain energy release rate (G1C) of 600 J/m2 is used as

VCCT input.

Figure 5.4 shows the strain contour of deformed delaminated sample modeled in

Abaqus/CAE using VCCT. The delaminated composite laminate is also modeled using

shell elements (element type) in Abaqus. The results of the simulation are captured and

plotted in Abaqus.

Figure 5.4 Strain contour of deformed delaminated sample

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64

5.3 Results of Finite Element Model (Abaqus/CAE)

Force and displacements values of the three-point bend flexural test simulation are

collected for both non-delaminated and delaminated (VCCT) model. Figure 6.4 shows the

force vs displacement plot of a non-delaminated composite laminate model from

Abaqus/CAE. This result is again plotted using the data from Abaqus.

Figure 6.4 Force vs Displacement of non-delaminated laminate sample

From the Figure 6.4, a maximum force of 255.53 N is observed for a displacement

of 0.017 m. The values of this plot are obtained from Abaqus/CAE. A similar plot is plotted

for a delaminated sample. Figure 6.5 shows force vs displacement plot of a delaminated

composite laminate model obtained from Abaqus/CAE. The delamination is created in

0

50

100

150

200

250

0 0.002 0.004 0.006 0.008 0.01 0.012 0.014 0.016 0.018

Forc

e (N

)

Displacement (m)

Simulation

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65

Abaqus using Virtual Crack Closure Technique (VCCT) in Abaqus/CAE. A maximum

force of 79.27 N is observed at a displacement of 5.39 mm.

Figure 6.5 Force vs Displacement of delaminated laminate sample from Abaqus/CAE

0

10

20

30

40

50

60

70

80

90

0 1 2 3 4 5 6

Forc

e (N

)

Displacement (mm)

Simulation

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66

Analysis and Discussion

The final results and discussion of experimental and finite element model are

presented in this chapter. The experiments measure the electrical resistivity of the

piezoresistive nanocomposite sensor when the attached composite laminate (delaminated

and non-delaminated) is subject to mechanical deformation from the three-point bend

flexural test. The finite element simulation measures the strain created in the

nanocomposite region on the modeled composite laminate (delaminated using VCCT and

non-delaminated).

6.1 Electro-mechanical properties of piezoresistive nanocomposite

Figure 6.1 Stress – Strain and Resistivity – Strain response of a nanocomposite

0

2

4

6

8

10

12

0

2

4

6

8

10

0 0.01 0.02 0.03 0.04 0.05 0.06

Chan

ge

in R

esis

tivit

y 1

0-5

(ohm

-m)

Str

ain (

MP

a)

Strain

Stress - Strain

Resistivity - Strain

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67

Figure 6.2 Stress – Strain and Resistivity – Strain response of nanocomposite attached to

a non-delaminated composite laminate

Piezoresistive nanocomposite sensor exhibit change in resistance when subject to

mechanical deformation. As the composite laminate is deformed in three-point flexural

test, the strain is transferred to the nanocomposite attached on top of the laminate. This

strain created on the nanocomposite results in the change in resistivity.

Figure 6.1 shows the Stress – Strain and Resistivity – Strain response of a

piezoresistive nanocomposite in tension, the nanocomposite is used in this research to act

as a sensor in order to detect delamination. Figure 6.2 shows the Stress – Strain response

of composite laminate and Resistivity – Strain response of piezoresistive nanocomposite

in three-point flexural test.

0

0.5

1

1.5

2

2.5

3

3.5

4

0

50

100

150

200

250

300

350

400

450

500

0 0.5 1 1.5 2

Chan

ge

in R

esis

tivit

y 1

0-5

(ohm

-m)

Fle

xu

ral

Str

ess

(MP

a)

Flexural Strain 10-2

Stress - Strain

Resistivity - Strain

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68

Change in resistivity of 11.68x10-5 ohm-m can be observed in the piezoresistive

nanocomposite from Figure 6.1 and a maximum stress of 9.83 MPa is also observed on it.

Change in resistivity of 3.68x10-5 ohm-m is observed in the piezoresistive nanocomposite

with application of deformation on the composite laminate in Figure 6.2. Maximum

flexural stress of 408.26 MPa is observed on the composite laminate sample (Non-

delaminated).

Figure 6.3 Stress – Strain and Resistivity – Strain response of nanocomposite attached to

a delaminated composite laminate

Figure 6.3 shows the Stress – Strain response of composite laminate and Resistivity

– Strain response of piezoresistive nanocomposite. Change in resistivity of 2.89x10-5 ohm-

m is observed in the piezoresistive nanocomposite with application of deformation on the

composite laminate. Maximum flexural stress of 272.14 MPa is observed on the composite

laminate sample (Delaminated).

0

0.5

1

1.5

2

2.5

3

0

50

100

150

200

250

300

0 0.5 1 1.5 2

Chan

ge

in R

esis

tivit

y 1

0-5

(ohm

-m)

Fle

xura

l S

tres

s (M

Pa)

Flexural Strain 10-2

Stress - Strain

Resistivity - Strain

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69

6.2 Comparing results of experiments and simulation

The results of experimental tests and Abaqus simulations are compared by plotting

them together for both non-delaminated and delaminated laminate samples.

Figure 6.6 shows the result of experiment and simulation of a non-delaminated

sample. The maximum force that is observed in this plot is 233N in experiments and 255N

in simulation while the maximum displacement observed is 1.77x10-2 m in experiments

and 1.7x10-2 m in the simulations.

Figure 6.7 shows the result of experiment and simulation of a delaminated sample.

The maximum force that is observed in this plot is 60N in experiments and 79N in

simulation while the maximum displacement observed is 5.85x10-3 m in experiments and

5.39x10-3 m in the simulations.

Both of these plots clearly show that there is only a small difference (they are very

close) in the values recorded for both delaminated and non-delaminated cases. This proves

that the modeling of composite laminate and the Virtual crack closure technique (VCCT)

applied in Abaqus/CAE is correct. The next thing will be finding the strain on the

nanocomposite region of the composite laminate model from Abaqus and compare the

strain to the actual strain created on the nanocomposite during tension.

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70

Figure 6.6 Comparing results of Simulation and Experiment in non-delaminated sample

Figure 6.7 Comparing results of Simulation and Experiment in a delaminated sample

0

50

100

150

200

250

300

0 0.005 0.01 0.015 0.02

Fo

rce

(N)

Displacement (m)

Simulation

Experiment

0

10

20

30

40

50

60

70

80

90

0 1 2 3 4 5 6

Forc

e (N

)

Displacement (mm)

Experiment

Simulation

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6.3 Strain in composite region (on laminate) in Abaqus/CAE

Nanocomposite region is defined on the composite laminate modeled in

Abaqus/CAE. This region helps calculating the strain created in the region when load is

applied for three-point flexural test.

Figure 6.8 Cut out region of the nanocomposite section from assembly

Figure 6.9 Cut out region of the nanocomposite section from mesh

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Figure 6.8 and Figure 6.9 show the cut out region of the nanocomposite section

separated from the assembly and mesh, respectively. After defining and solving the model

for three-point bend flexural simulation, the strain values are collected from the

nanocomposite region defined. Figure 6.10 shows the cut out region of nanocomposite

section from visualization after simulation.

Figure 6.10 Cut out region of the nanocomposite section from Abaqus visualization

The strain in the nanocomposite region of the overall sample is partitioned and

calculated for three elements, one at the center and two at left and right sides of the

nanocomposite region as shown in Figure 6.11. This calculation is done for both non-

delaminated and delaminated laminate sample models. The calculated strain at these three

points of a non-delaminated sample model are plotted against displacement in Figure 6.12.

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Figure 6.11 Nanocomposite region and elements selected for strain calculation

Figure 6.12 Strain vs Displacement plot of three elements in non-delaminated model

From Figure 6.12, maximum strain is identified at the center element which is

13.97x10-3. At left most and right most elements the maximum strain observed is 5.56x10-

3 and 6.64x10-3, respectively. Similarly the strain is plotted for a delaminated laminate as

well, as shown in Figure 6.13.

0

0.002

0.004

0.006

0.008

0.01

0.012

0.014

0.016

0 5 10 15

Str

ain

Displacement (m) 10-3

Left

Center

Right

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Figure 6.13 Strain vs Displacement plot of three elements in a delaminated model

From Figure 6.15, maximum strain is identified at the center element which is

21.61x10-3. At left most and right most elements the maximum strains observed are

7.51x10-3 and 7.96x10-3, respectively. Once the strain in the nanocomposite region is

obtained from Abaqus/CAE, the next step is to correlate this strain to the tension test results

obtained from the piezoresistive nanocomposite as shown in Figure 6.1.

6.4 Strain correlation of piezoresistive nanocomposite

The strain observed on the nanocomposite region in Abaqus/CAE for both non-

delaminated model and delaminated model are correlated to the strain created on the

piezoresistive nanocomposite during the tension test (Figure 6.1). Figures 6.14 and 6.15

show the correlation plots of strain and resistivity of a nanocomposite for non-delaminated

model and delaminated model.

0

0.005

0.01

0.015

0.02

0.025

0 1 2 3 4 5 6

Str

ain

Displacement (mm)

Left

Right

Center

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Figure 6.14 Correlation between the strain and resistivity of nanocomposite from three-

point bend test and tension test of a non-delaminated model

Figure 6.15 Correlation between the strain and resistivity of nanocomposite from three-

point bend test and tension test of a delaminated model

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The strain correlated to the tension test of the nanocomposite and corresponding

electrical resistivity is compared to that of experimentally obtained in the flexural test. A

one-to-one correlation between strain in the nanocomposite and electrical resistivity in both

tension and bending is observed. This proves that the simulations and the experiments in

studying the piezoresistive nanocomposite are comparable.

6.5 Conclusion

Based on all the results above and plotting the experimental results of non-

delaminated and delaminated samples together we have Figure 6.16

Figure 6.16 Stress – Strain and Resistivity – Strain response from flexural tests

0

0.5

1

1.5

2

2.5

3

3.5

4

0

50

100

150

200

250

300

350

400

450

0 0.5 1 1.5 2

Chan

ge

in R

esis

tivit

y 1

0-5

(ohm

-m)

Fle

xura

l S

tres

s (M

Pa)

Flexural Strain 10-2

Stress - Strain Baseline

Stress - Strain 3" Delamination

Resistivity - Strain Baseline

Resistivity - Strain 3" Delamination

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From Figure 6.16 it can be observed that, the change in resistivity at maximum

strain for a non-delaminated laminate is 3.68x10-5 ohm-m while in the delaminated sample

it is 2.67x10-5 ohm-m. This indicates that the piezoresistive nanocomposite sensor that is

developed in this research can be effectively used to detect strain changes caused by

delamination and other defects in composite structures.

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Summary and Recommendations

7.1 Summary

In this research, piezoresistive nanocomposite sensors are fabricated from

buckypaper with 5 % wt graphene nanoplatelets added with resin by vacuum assisting

process, and cured in room temperature. Resistance of these nanocomposite sensors are

measured using the four-point probe testing method under applied tensile loading.

Composite laminates composed of 8 plys are also fabricated using compression press with

and without delamination for testing the nanocomposite sensors.

The final sample is prepared by attaching the nanocomposite sensor on top of the

composite laminate and marked with ASTM D7264 markings. A three-point bend flexural

test is carried out on these samples using the MTS testing machine connected to a computer

with LabVIEW code developed (Figure 3.18) in it. The sensors are subject to electrical

current and LabVIEW code is used to monitor the voltage drop of the nanocomposites

along with measuring the stress and strain on the laminate by flexural test. The resistance

can then be calculated using Ohm’s law.

The resistance of the nanocomposite changes due to the mechanical strain created

due to flexural test and is measured through these experiments. The resisitivity – strain of

the nanocomposite sensor attached on top of delaminated and non-delaminated sample

shows a great variation in both cases. For a non-delaminated composite laminate sample,

the resistivity occured at maximum strain is 3.68x10-5 W-m, while in the delaminated

composite laminate sample it is 2.67x10-5 W-m. Seeing all these results, it is believed that

the piezoresistive nanocomposite sensor can be used to detect delamination in carbon fiber

composite structures.

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The finite element models are used to correlate strains from the three-point flexural

tests of carbon fiber composite laminates – nanocomposite sensor assembly to the strains

and resistivity changes in the tension tests of standalone nanocomposites indicating

applicability of these sensors under multiple loading conditions.

7.2 Recommendations for Future Work

The piezoresistive nanocomposite sensors developed in this research can be

employed to detect the effectiveness of a composite repair patch as shown in Figure 7.1.

Future work along these lines will advance the concepts developed here. Also these kinds

of studies can be expanded to include more advanced structures such as stiffened panels,

wing-ribs, fuselage panels etc.

Figure 7.1 Composite repair patch with nanocomposite sensor for detecting the

effectiveness of the repair

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