VAPOUR SOLUTION AND DIFFUSION IN
RADIATION GRAFT COPOLYMERS
by
DAVID CHRISTOPHER TA-CHANG KUO, B.Sc., A.R.C.S.
A thesis submitted in partial fulfilment
of the.! requirements for the award of
the degree of
DOCTOR OF PHILOSOPHY
OF THE
UNIVERSITY OF LONDON
Department of Chemistry,
Imperial College of Science and Technology,
London, SW7 2AY. October, 1981.
To my Parents
3
ACKNOWLEDGEMENTS
I am greatly indebted to Dr. J.A. Barrie for his guidance and
encouragement throughout this research.
I am grateful to Dr. K. Munday for the benefit of his experience
at the initiation of the work, Mr. R.N. Sheppard for his friendship
and advice and Mr. I.E. Morrison for his experience in the field of
computer software.
I would also like to thank Dr. P.C. Clay and Mr. B. Bennett of
the Nuclear Technology Department for their cooperation in the
preparation of the graft copolymers and Dr. G.S. Parry and
Mr. N. Salpadoru of the Electron Microscopy Service for the electron-
micrographs.
I would also like to offer special thanks to Ms. M. Shanahan for
typing this thesis, and Mr. D. Webb and Dr. E. Mason for their friend-
ship and expertise in proof reading.
Finally, I would like to thank all the members of staff for their
cooperation.
A
ABSTRACT
David Christopher Ta-Chang Kuo, B.Sc., A.R.C.S.
Vapour Solution and Diffusion in Radiation Graft Copolymers.
Permeability, solubility and diffusion coefficients of ethane,
and propane have been measured in poly(dimethylsiloxane), PDMS, in the
temperature range 20 to 60°C. The transport and sorption parameters
have also been determined in a series of radiation graft copolymers
containing up to 51.A5% by weight of poly(methyl methacrylate.) , PMMA.
In addition, sorption kinetics and equilibria of methane, ethane,
propane and iso-butane in PMMA have been investigated at various
temperatures in the range 1 to 60°C. Sorption measurements were
obtained with a Sartorius electronic vacuum microbalance and permeability
and diffusivity from gas flow across a thin membrane measured using
a MKS Baratron.
Sorption of"propane and ethane in PDMS obeyed Henry's Law J the
diffusion coefficient was found to be independent of concentration.
For PMMA, sorption of methane and ethane obeyed Henry's Law, whilst the
sorption isotherms with the powder were non-linear for ethane, propane
and iso-butane and were analysed in terms of dual-mode sorption. The
absence of a Langmuir component in the sheet was interpreted in terms
of residual casting solvent preferentially occupying the microvoids.
The effect of additional trace solvent was shown to enhance the
diffusion coefficient.
5
The sorption isotherms for the graft copolymers were characteristic
of dual-mode sorption and this was attributed to the Langmuir component
in PMMA. The solubilities were found to be additive provided the prior
history of PMMA was accounted for. Permeabilities were found to be
independent of pressure and the activation energies were independent
of composition. The permeabilities were examined in terms of several
models based upon a binary phase material of which the most successful
were those of Higuchi and Bo'tcher. Variation in the post-irradiation
solvent treatment of the copolymers caused a departure from the various
models and was interpreted in terms of structural changes in the
internal distribution of the. PMMA. Supporting evidence of this was
provided by electron micrographs. Diffusion coefficients were found to
be concentration dependent and the permeation time lags were also found
to be dependent on the upstream driving pressure. These were both found
to be in good agreement with a model in which the diffusion process was
controlled by the continuous silicone phase with the PMMA heterogenieties
acting as rapid adsorption centres.
6
CONTENTS
PAGE:
LIST OF TABLES 10
LIST OF ILLUSTRATIONS 1 2
CHAPTER l: INTRODUCTION 1 5
1.1. An Historical Survey of Diffusion 2.8
1.2. Formal definition of P, D and k. 22
CHAPTER 2: THEORY
2.1. Solution of Fick's Equation! The Plane Sheet
2.1.1. Constant D System! Steady State
2.1.2. Concentration Dependent D! Steady State
2.1.3. Constant D System*. Transient State
2.1.4. Concentration Dependent D! Transient State
2.1.5. Sorption and Desorption Kinetics! The Plane Sheet
2.2. Solution of Fick's Equation! The Solid Sphere 35
2.3. The Dual-Mode Sorption Theory 38
2.3.1. The Thermodynamics of Sorption 42.
2.3.2. The Diffusion Model for Dual-Mode Sorption 43
CHAPTER 3! LITERATURE REVIEW 49
3.1. The Molecular Theories of Diffusion 50
3.2. The Dual-Mode Sorption Theory (A Review 1976-1981) 53
3.3. The Phenomenological Correlation of Transport and
Sorption Parameters 52
3.4. Transport in Heterogeneous Media 53
3.5. Review of Heterogeneous Models 79
24
24
24
26
27
7
CHAPTER 41 EXPERIMENTAL 85
4.1. Materials 85
4.1.1. Poly([c.]-dimethylsiloxane) 35
4.1.2. Poly (methyl m e t h a c r y l a t e ) s h e e t 35
4.1.3. Poly(methyl methacrylate): powder 35
4.1.4. Poly([c./.]-dimethylsiloxane-g-methyl
methacrylate) 35
4.1.5. Nomenclature of graft copolymers 39
4.1.6. Penetrant Vapour 89
4.2. Permeation 90
4.2.1. The Permeation Hardware 90
4.2.2. Permeation Technique and Measurement 94
4.3. Sorption 98
4.3.1. The Sorption Hardware 98
4.3.2. Sorption Technique and Measurement 100
CHAPTER 5: PHYSICAL PROPERTIES OF THE POLYMERS 102
5.1. Introduction 1.02
5.1.1. Glass Transition Temperatures 103
5.1.2. Densities 105
5.1.3. Dynamic Mechanical Testing 105
5.1.4. Thickness of Graft Copolymer 108
5.1.5. Stereotacticities of PMMA Samples 108
5.1.6. Electron Microscopy 109
5.2. Discussion 109
8
CHAPTER 6: RESULTS AND DISCUSSION - PDMS 117
6.1. Introduction 117
6.1.1. PDMS/Propane Equilibrium Sorption 117
6.1.2. Permeabilities and Diffusion Coefficients 120
6.2. Review of PDMS/Propane Studies 123
6.3. PDMS/Ethane 126
CHAPTER 71 RESULTS AND DISCUSSION - PMMA 129
7.1. Introduction 129
7.1.1. PMMA/Methane 130
7.1.2. PMMA/Ethane . 134
7.1.3. PMMA/Propane 143
7.1.4. PMMA/iso-butane 155
7.2. General Remarks of the Dual-Mode Sorption Theory 162
7.3. Transport and Sorption Parameters: Correlation
Functions 168
7.4. A Critical Examination of Diffusion in PMMA
Powder and Sheet 181
CHAPTER 8: RESULTS AND DISCUSSION - PDMS-g-PMMA 184
8.1. Introduction 184
8.1.1. Equilibrium Sorption 191
8.1.2. Steady State Permeabilities 203
8.1.3. Diffusion Coefficients 2]2
8.2. The Time Lag in Diffusion 221
9
CHAPTER 91 CONCLUSION 224
9.1 Graft Copolymers 224
9.2 Graft Copolymer Results 225
9.3 PMMA Results 227
9.4. Suggestions for Further Study 227
APPENDIX A : The Time Lag in Diffusion for a Heterogeneous
Membrane 229
APPENDIX B: Sample Calculation and Estimation of Errors 233
Bl. Sample Calcuiation of an equilibrium sorption
concentration and diffusion coefficients for
PDMS-g-46.34% PMMA/propane at 30°C 233
B2. Sample calculation of the permeability (p),
diffusion coefficient (D), and solubility
(k) from the transient and steady state permeation
of ethane through PDMS 236
APPENDIX C: Experimental Data 238
REFERENCES 266
10
LIST OF TABLES
CHAPTER 5: PHYSICAL PROPERTIES OF THE POLYMERS
5.1. Glass Transition Temperatures 104
5.2. Stereotacticities of PMMA 104
5.3. Summary of Solvent Extraction of Graft Copolymers H O
CHAPTER 6! RESULTS AND DISCUSSION - PDMS
6.1. Sorption and Transport Parameters'. Propane 124
6.2. PDMS/Propane Transport Parameters at 30°C 125
6 . 3 . Activation Energies and Heats of Dissolution 126
6.4. Sortpion and Transport Parameters: Ethane 127
CHAPTER 7: RESULTS AND DISCUSSION - PMMA
7.1. Sorption and Diffusion Parameters: Methane 132
7.2. Powder and Sheet Sorption Parameters'. Ethane 137
7.3. Powder and Sheet Diffusion Parameters! Ethane 143
7.4. Dual-Mode Sorption Parameters: Propane 145
7.5. Diffusion Coefficients'. Propane 154
CHAPTER 8! RESULTS AND DISCUSSION - PDMS-g-PMMA
8.1. Graft Copolymers: Sorption Parameters 193
8.2. Graft Copolymers*, isobar parameters at 30°C 199
8.3. Graft Copolymers'. Heats of Sorption 201
8.4. Graft Copolymers: Permeabilities at 30°C 211
11
8.5.
8 . 6 .
8.7
APPENDIX
CI
C2-C3
C4-C8
C9-C13
C14-C18
C19
C20
C21-C25
C26-C29
C30
C31
C32
C33
Graft Copolymers! Diffusion Coefficients at 30°C 214
PDMS-g-46.34% PMMA Diffusion Coefficients at 30°C 219
Dual-Mode Sorption Parameters for PDMS-g-46.34%
PMMA at 30°C 223
PDMS/Propane Sorption Isotherm Results 238
PDMS Transient Permeation Data 240/241
PMMA Sorption Isotherm Results 243/246
PMMA Transient Sorption Data 247/250
PDMS-g-PMMA Equilibrium Sorption Data 251/255
PDMS-g-24.14% PMMA*Equilibrium Sorption Data 256
Membrane and Apparatus Characteristics 257
PDMS-g-PMMA Transient Permeation Data 258/260
PDMS-g-PMMA* Transient Permeation Data 260/262
Specific Free Volumes of Polymers at 25°C 262
Transport Parameters of Various gases and Vapours
in PMMA at 30°C 263
PDMS-g-46.34% PMMA Sorption Kinetics at 30°C 264
PDMS-g-46.34% PMMA Time Lag Data at 30°C 265
12
LIST OF ILLUSTRATIONS
Figure 4. 1 The Grafting Apparatus 86
Figure 4. 2 The Permeation Apparatus 91
Figure 4. ,2 (a) The Permeation Apparatus and PET Microprocessor 93
Figure 4. .3 The Diffusion Cell 95
Figure 4. 4 The Sorption Apparatus ' 97
Figure 4. 5 Beam Assembly 99
Figure 5. 1 Density of Graft Copolymers 106
Figure 5. 2 Elastic Moduli of Graft Copolymers 107
Figure 5. 3 Relative Thickness of Graft Copolymers 112
Figure 5. ,4 Electron Micrographs 115
Figure 6. 1 PDMS/Propane Sorption Isotherms 118
Figure 6. 2 Silicone Rubberl van't Hoff Plots 119
Figure 6. 3 Silicone Rubberl Temperature Dependence of P 121
Figure 6. 4 Silicone Rubber: Temperature Dependence of D 122
Figure 7. 1 PMMA (Sheet)/Methane Sorption Isotherms 131
Figure 7. 2 PMMA (Sheet)/Methane: Concentration dependence of D 133
Figure 7. 3 PMMA (Sheet)/Ethane Sorption Isotherms 135
Figure 7. 4 PMMA (Powder)/Ethane Sorption Isotherms 136
Figure 7. 5 PMMA (Sheet)/Ethane: Concentration dependence of D 141
Figure 7. 6 PMMA (Powder)/Ethane: Concentration dependence of D 142
Figure 7. 7 PMMA (Powder)/Propane Sorption Isotherms 144
Figure 7. 8 PMMA (Powder)/Propane! Alternative Sorption Isotherms 146
Figure 7. 9 Heats of Sorption for PMMA 148
Figure 7. 10(a) PMMA (Powder)/Propane". Concentration Dependence of D 150
13
Figure 7. 10(b) PMMA (Powder)/Propane: Concentration Dependence of D 153
Figure 7. 11 PMMA (Powder) /Propane*. Concentration Dependence of D 153
Figure 7. 12 PMMA (Powder)/iso-butane Sorption Isotherms 156
Figure 7. 13 Poly(methyl methacrylate): Temperature Dependence
of k D 157
Figure 7. 14 Poly(methyl methacrylate): Temperature Dependence
of b 158
Figure 7. 15 Poly(methyl methacrylate): Temperature Dependence
of S Li
159
Figure 7. 16 Poly(methyl methacrylate): Arrhenius plots of
(D) c=0
160
Figure 7. 17 Poly(methyl methacrylate)*. Arrhenius plot of D^ 16]
Figure 7. 18 PMMA/Ethane Langmuir Sorption 163
Figure 7. 19 PMMA/Propane Langmuir Sorption 164
Figure 7. 20 Apparent Temperature Dependence of S /k J_i jj
167
Figure 7. 21 Diffusion Coefficient vs. Molecular Diameter Correlation 169
Figure 7. 22 Activation Energy vs. Molecular Diameter Correlation 17]
Figure 7. 23 Limiting Solubility Correlations 173
Figure 7. 24 Henry's Law Solubility Correlation 174
Figure 7. 25 Heat of Sorption Correlation 175
Figure 7. 26 Propane Diffusion vs. 1/SFV at 25°C 179
Figure 7. 27 Propane Activation Energy vs_. 1/SFV 180
14
Figure 8.1 PDMS-g-10.35% PMMA Sorption Isotherms 185
Figure 8.2 PDMS-g-24.14% PMMA* Sorption Isotherms 186
Figure 8.3 PDMS-g-30.67% PMMA Sorption Isotherms 187
Figure 8.4 PDMS-g-39.76% PMMA Sorption Iostherms 188
Figure 8.5 PDMS-g-46.34% PMMA Sorption Isotherms 189
Figure 8.6 PDMS-g-51.45% PMMA Sorption Isotherms 190
Figure 8.7 G O vs. Volume Fraction at 30°C 194 D m —
Figure 8 .8 —* V o l u m e f a c t i o n at 30°C 195
Figure 8.9 (S T) vs. Volume Fraction at 30°C 196 L m —
Figure 8.10 Extracted Isotherms at 30°C 198
Figure 8.11 Craft Copolymer Tsobars at 30°C 200
Figure 8.12 (AHJ _ vs. Volume Fraction 202 S c=0 —
Figure 8.13 Temperature Dependence of Permeability:
Petroleum Extracted Series 204
Figure 8.14 Temperature Dependence of Permeability:
Acetone Extracted Series 205
Figure 8.15 Permeabilities of Graft Copolymers at 30°C 208
Figure 8.16 Permeabilities of Graft Copolymers at 30°C 209
Figure 8.17 Deviation from Standard Models 210
Figure 8.18 Diffusion Coefficients of Graft Copolymers 215
Figure 8.19 PDMS-g-46.34% PMMA Diffusion Coefficients 217
Figure 8.20 PDMS-g-46.34% PMMA: Time Lag vs. Pressure Profile 222
15
CHAPTER ONE
INTRODUCTION.
The demands of technology for the greater refinement and specificity
of rubbers and plastics has led to a growing interest in the field of
heterogeneous polymers. The great case and versatility by which blending,
grafting, masticating and block-copolymerising may be performed, allows
the modification of existing polymers with comparative economy of
resources. In conjunction with the growth in the field of synthetic
polymer chemistry, there is also a great deal of interest in the varied
physical properties of these heterogenous polymer systems.
The systematic study of gas transport through polymer membranes
constitutes one aspect of polymer characterisation which not only yields
valuable information on the usefulness of the polymer as potential gas
barriers and separators but also affords a unique and detailed method
of examining and assigning the polymer morphology. The characteristic
transport parameters, namely the diffusivity, permeability and solubility
when used in conjunction with theoretical models allows a means of inter-
preting the microstructure of these systems. The gas molecule or
penetrant may therefore be viewed as a sensitive microprobe and judicious
choice of gas is an important consideration.
The present study focussed on the transport of a simple hydrocarbon
vapour, propane, in a series of radiation graft copolymers. The two
components of the graft copolymer were a synthetic elastomer, poly(dimethvl-
siloxane) and the important engineering plastic, poly(methyl methacrylate).
16
The technique of grafting has been described by one author (174) as being
" more of an art than a science" , but despite this apparent criticism
the morphology of graft systems, especial! y of the type used in the
present study, can usually be predicted intuitively. It is often found
that if grafting is effected, and relatively long side chains are
produced, complete phase separation occurs. The phase in greater
abundance is usually interconnected over extended regions and convention-
ally referred to as the " continuous phase" . Distributed within this
continuum are domains of the " dispersed phase" . On this argument,
as the proportion of the dispersed phase increases, a critical composition
is attained at which the roles of the two phases interchange. This is
known as the point of " phase inversion" . However ;in the present system,
the silicone rubber which formed the continuous phase was lightly cross-
linked and complete phase inversion is therefore restricted. Instead,
the " dispersed phase" may be expected to form a complex pattern of
interpenetrating networks.
The simplicity of the morphology of the present system prompted a
serious examination of the " additivity rule" as applied to solubility.
In a simple binary polymer system, where the individual components are
clearly discernible, the solubility which is an extensive property of the
system, should be linearly related to the composition. Often, deviations
from this simple linear dependence have been interpreted as an indication
of mixing between the phases. The present study attempted to distinguish
between the phenomenon of true interaction and any artifacts which may
be introduced, and otherwise unaccounted for.
17
The steady state permeabilities of the graft copolymers were
measured arid tested against theoretical models. The poly(methyl meth-
acrylate) " dispersion" was expected to behave as simple impermeable
fillers reducing the effective flux across the membranes. The effects
of the dispersed phase on the measurements of the diffusion coefficients
by various methods are also discussed.
An examination of the post irradiation solvent treatment on the
graft copolymers was also performed. The selective use of solvents which
show preferential dissolution in either phase of the graft copolymers
was expected to modify the morphology. The effect was demonstrated by
mechanical testing in addition to gas transport studies.
Due to the importance of poly(methyl methacrylate) in the field of
engineering and technology, an extensive study of the transport and
solutions of four simple hydrocarbon vapours in both the polymer sheet
and powder was conducted. The applicability of the dual-mode sorption
theory to describe the transport and sorption in the glassy polymer
was tested. Also phenomenological correlations were constructed which
attempt to relate the sorption and transport parameters with fundamental
gas properties.
18
1.1. AN HISTORICAL SURVEY OF DIFFUSION
In 1822, Fourier (1) developed the equation for heat conductance,
(1.1)
where K is the heat conductivity and 30/3x the temperature gradient.
Almost thirty years later, Fick (2) advanced the mathematical theory
of diffusion by recognising the analogy between heat conduction and the
random process of diffusion. His equation for uni-directional flow in
an isotropic medium is y
where J is the rate of transfer per unit area of section, c is the
concentration of diffusant and x the spatial coordinate measured normal
to the section. D, a constant of proportionality, is known as the
diffusion coefficient. If the flux J, and the concentration, c, are
both expressed in equivalent units of amount, then D simply has the
dimensions :(LENGTH) 2 x (TIME) The conventional units for D are
(cm 2 s and are used throughout this treatise.
In order that equation (1.2) be completely defined, it is not only
necessary to specify the units in which J, c and x are measured, but also
the section through which diffusion occurs. Crank (13) has discussed
in detail, several frames of reference, fixed with respect to the volume
and the mass of the components which participate in the diffusion process.
(1.2)
19
In the simplest case of the inter-diffusion of a binary mixture with
zero volume change of mixing, the diffusion process may be completely
described by a simple diffusion coefficient known as the " mutual
diffusion coefficient" . If a volume change occurs on mixing, " mass
fixed" coefficients may be defined, and again, a simple diffusion
coefficient suffices to describe the diffusion process. In the limit
of zero volume fraction of one component, the " m u t u a l diffusion coefficient"
and the coefficients measured with respect to " mass fixed" frames of
reference are identical.
In the present study, the solubilities of the penetrants in the
polymer samples were relatively low, and no significant swelling of the
polymer was discernible. The diffusion coefficient is therefore expected
to be Independent of the frames of reference.
By a consideration of mass balance for a uni-directional flow in an
isotropic medium, Fic.ks' second equation of diffusion may be derived,
3c 3 2c 3x: (1.3)
The form in which equation (1.3) appears is only valid if the
diffusion coefficient is constant. The diffusion of gases and vapours in
high polymers are usually represented by a concentration dependent diffusion
coefficient and equation (1.3) is replaced by,
f [ D ( c ) . | £ ] (1.4) dt dx 3x
Tn 1866, Graham (3) postulated that the transport across a membrane
comprised of three concerted steps!
20
(1) a rapid dissolution at the ingoing face followed
by
(2) a slow, rate controlling transport through the
film and finally,
(3) evaporation to the gaseous state at the outgoing
face.
Later in 1879, Wroblewski (4) combined the thermodynamic process of
dissolution and the kinetic process of diffusion to yield a simple
relationship, namely,
J = DkAp// (1.5)
where k was defined as the absorption coefficient (conventionally referred
to now as the solubility) and Ap the pressure difference across the
membrane of thickness,/.
Various workers (5,6,7) continued to work along these lines, reasserting
the cogency of the original postulate of the sorption-diffusion theory.
In 1920, Daynes (8) reported that if the concentration of gas at the
outgoing face of the membrane was monitored as a function of time, with
the concentration at the ingoing face held constant, then the rate of
transport increased monotonically and tended to ah asymptotic steady state
value. Linear extrapolation of this asymptote back to the time axis
yielded a positive intercept known as the time lag, 0. He further
showed that 0 was simply related to the diffusion coefficient and hence
the solubility, k, could be estimated from equation (1.5).
21
The technique was not exploited to its fullest until 1939, when
Barrer (9) elaborated on the original idea of Daynes (8) and since
then, the principle has remained largely unchanged. The attraction
of the high-vacuum technique lies not only in its simplicity, but also
because it enables the three parameters, P, D and k , which completely
define the transport process, to be obtained from a single experiment.
Furthermore, even when extremely low solubilities are encountered, the
value of k may still be determined with accuracy when the more direct
methods may prove to be ineffective.
A major contribution to the concept of diffusion was advanced by
Barrer in 1940. Barrer (10) proposed that diffusion was an activated
process and conformed to an Arrhenius type relationship, namely,
D = D q exp(-E /RT) (1.6)
where R and T have the usual significance and E^ is the activation
energy for diffusion. D q , the pre-exponential factor may be related to
the entropy of activation.
The temperature dependence of the solubility coefficient, k, was
given by the van't Hoff relation,
k = k exp(-AH /RT) (1.7) o D
where AH^ is defined as the heat of dissolution.
The temperature dependence of the permeability P, may therefore be
inferred from equations (1.6) and (1.7) since
P = k.D (1.8)
giving
P = P exp(-Ep/RT) (1.9)
22
Ep may be viewed as a "quasi" activation energy of permeation and
is related to E^ and AH^ by the expression
E p = E d + A H d (1.10)
The diffusion coefficient is an increasing function of temperature
whereas the solubility generally decreases with increasing temperature.
The permeability may therefore increase or decrease with temperature
depending upon the relative magnitude of E^ and AH^.
1.2. Formal definition of P, D and k.
Several different units have been proposed for the transport parameters
P and D (11) and it is perhaps pertinent at this stage to define in
precise terms the units in which P, D and k are to be used.
(1) the permeability coefficient, P, is the amount of gas measured
in cm 3 at (STP) , diffusing per second through unit area of membrane (1 c m 2 ) ,
of unit thickness (1 cm) when there is a centimetre of mercury difference
in pressure across it.
Thus:
P = V. //[A.t. (Pi " P2) ] (1.11)
where V = volume of penetrant [cm 3 (STP)],
t = time (s),
t = membrane thickness (cm),
A = Cross-section area of membrane (cm 2),
P i > P 2 = ingoing and outgoing pressures respectively,
(cmllg) .
23
(2) The diffusivity or more commonly the diffusion coefficient D,
is the amount of gas (cm 3 at STP), diffusing per second through unit
cross-sectional area (1 cm 2) of membrane of unit thickness (1 cm) with
unit concentration difference across it.
Thus,
D = . „ (1.12) A.t. dc/dx
where c = concentration of penetrant in the membrane
[cm 3(STP) cm" 3]
x = distance (cm).
(3) The solubility k, is the amount of gas in cm 3 at STP, dissolved
in a 1 centimetre cube of membrane when the ambient pressure is 1 cmHg.
Thus,
k = c/p (1.13)
24
CHAPTER TOO
THEORY
2.1. Solution of Pick's, equation! The plane sheet.
Exact solutions for Pick's first and second equations of diffusion
given in equations (1.2) and (1.3) are available in standard
texts (12, 13) for a variety of sample geometries. In this section
the solutions are presented for the transient and steady state flow
through the plane sheet. In addition, expressions are also presented
for the kinetics of sorption and desorption for the same geometry and
also for the solid sphere.
The conventional permeation experiment requires a polymer medium,
in the form of a membrane, of constant cross-section bounded at x = 0
and x = The membrane is initially free of penetrant and then subjected
to an instantaneous pressure, corresponding to a concentration, c Q , at
the ingoing face (x = 0). The boundary conditions are thus,
0 < x < / t = 0
x = 0 t > 0
x = / t > o (2.1)
2.1.1. Constant D system! steady state.
In the steady state, the concentration profile across the membrane
is independent of time, so,
= 0 dt
(2.2)
25
Under these conditions, Fick's second equation reduces to a simple
second-order differential equation given by,
3x' = 0
with
c = 'A TX + A;
(2.3)
(2.4)
an exact solution.
By substituting for the boundary conditions and solving for 'Ai and A 2 ,
and
A! = (c, - c )// t o
A 2 = c
(2.4a)
(2.4b)
It follows then from (1.2) and (2.4) that
J = -D. (c . - c )/{ (2.5) t o
and in the limit c- « c , r o
j = i).c ;e (2.6) o
Often, instead of ascertaining the concentrations at the two faces of the
membrane, it is more convenient to monitor the pressure. The steady
state flux, J, may then be written in the form
J = F.p /f (2.7) o
where
V = D.k (2.8)
26
with
c = k.p (2.9)
2.1.2. Concentration dependent D: steady state.
Again, the concentration profile across the membrane is independent
of time, and equation (2.2) is still applicable. Equation (1.4) therefore
reduces to
f [ D ( c ) . ^ ] - 0
dx dx
(2.10)
Since the flux across the membrane is given by
then
J = -D(c). dc dx
Jdx = - D(c).dc
(2.11)
(2.12)
and o
Jt = I D(c).dc c ,
(2.13)
If c^ « c q , tlien differentiating with respect to c yields,
f - ( J O = D(c ) dc c = c o
o (2.14)
from a practical point of view, since J is measured as a function of
pressure and dp/dc is obtained from the sorption isotherm we can write
27
( T ^ ) . ( ^ 2 ) = D(c ) (2.15) dp dc o
o o
Alternatively, from equation (2.13), and defining an average solubility
it follows that
where
k = c/p (2.16)
P = D. k (2.17)
D = JL c o
c f o
D(c).d c (2.18) o
2.1.3. Constant D system: transient state.
Prior to the attainment of the steady state, the rate of flow and
the concentration profile across the membrane are both functions of time.
Subject to the validity of the boundary conditions given in equation (2.1),
the quantity of gas which passes through the membrane up to time t, is
given by
Q 00 2
T ^ - T V - l - ' l ^ • e x p ( - D n 2 7 r 2 t / 0 (2.19) 6 TT N
o n=l
and in the limit t
Dc
Q t - - f i t - y (2.19a)
Therefore a plot of Q vs. t approaches asymptotically a straight
line with -an intercept on the time axis of 0, where
0 = — (2.20) 6D
28
It is sometimes inconvenient to await the establishment of the steady
state, so Rogers et al. (14) provided an alternative solution to equation
(1.3) in the form
2 Ak p 00 2
a ? - c - v ^ < £ > 1 [ - ( ^ ) . ( 2 m + i)=] (2.2D m=o
At small times, the summation converges rapidly to give
a 2 A k p o D * / 2
/n(t d .dp/dt) = A i [ ( — 1 - 4 ^ (2.22)
1 A semi-logarithmic plot of the composite quantity (t 7.dp/dt) against
/ 2
reciprocal time should therefore be linear with a gradient (- 4^)• They
used their expression to estimate the diffusion coefficient of helium in
pyrex glass and since then, the method has been reported extensively in
the literature (15-17).
2.1.4. Concentration Dependent D: transient state.
Exact solutions to equation (1.4) for the diffusion coefficient
varying as a function of concentration have been found only for a
limited number of situations (13). The solutions are far from general
and often contain complicated integral functions which, although
tractable, are seldom simple to evaluate numerically.
Frisch (18;19,20) however, obtained general expressions for the
time lag in terms of the D(c) dependence without recourse to explicitly
solving the diffusion equation. The procedure is outlined in detail
in the Appendix for a specific D(c) dependence. Briefly, however,
evaluation of the triple integral,
29
3c
3t dx.dx.dt =
o o x
r t
o 'x 3x
[D(c)].dx.dx.dt (2.23)
reduccs to
c (x).dx.dx s
0 = (2.24)
c r o
D(c)dc
where cg ( x ) is the concentration-distance profile in the steady state,
and may in theory be deduced from the expression
r c D(c).dc = 9
rc I)(c) .dc (2.25)
Provided the form of the D(c) is known, the variation of the time lag
may be predicted using equation (2.24). Alternatively, if D(c) may
be expressed in an analytical form, the parameters which describe the
D(c) function may be determined by curve fitting the time lag vs.
concentration profile.
It is evident from equation (2.25) that if,
then
and
D(c) = D
c = c (x - x / O s o
0 = if 2 /6T)
(2.26).
(2.27)
(2.28)
which reduces correctly to the constant D case presented in Section 2.1.3,
30
2.1.5. Sorption and Desorption Kinetics: The Plane Sheet.
The equations "which describe the rates of sorption and desorption
are available for a variety of geometric shapes in standard texts
(13). In all cases, the process of diffusion is assumed to be controlled
by a constant diffusion coefficient. In what follows, extracts are
presented, which have been derived for the plane sheet and the solid
sphere.
The boundary conditions which describe the conventional sorption by
a sheet of thickness, ^, initially free of penetrant which is brought
into contact with a vapour at concentration c , may be written as: o
0 < x < / t = 0
x = n,x = / t > 0 (2.29)
The corresponding desorption by the sheet, which has attained a uniform
concentration c is then, o
c = c 0 < x < / t = 0 o — —
c = 0 X = -f ,x = 0 t > 0 (2. 30)
Plane Sheet: Constant D.
Under the conditions for which the transport of penetrant into the
sheet is described by a diffusion coefficient which is independent of
concentration, two standard types of solutions are obtained of which one
is more appropriate for the small time domain and the other for the
long time domain.
c = 0
c = c o
31
Small Time Domain.
The sorption rate curve may be described by the equation
M \ M rr = ( - ) . [ — + 2 I ( - l ) n . i e r f c ( - ^ ) j (2.31)
/ 2 / T n=o 2 (Dt)
for which it is found that in the domain of small times the summation
becomes relatively unimportant. Thus, the reduced weight (M /M^) is
proportional to n from which D may be calculated from the gradient.
It is normally found that the linear region, conventionally referred
to as the " square root t region", persists up to approximately M / M ^ |
Long Time Domain.
The sorption rate curve may also be described by the equation
M t . 8 c 1 r D(2m + .1) 2 tt 21) , ff) — = 1 - p . I exp [ J (2.32)
00 m=o (2m + 1) 2
for which it is found that at M /M = ^ equation (2.32) reduces to the
t 00 2 aproximate expression
ti ^ - - C .Intri - (2.33) 2
from which
TT D ' 16 9 16
D o. ^ (2.34) " t x ~5~
where tx is normally referred to as the " half time" " 2 "
32
The " half time" method is extremely easy to use, though the
advantage of its simplicity has to be offset against the possibility
of gross errors incurred by determining D using a single point on the
sorption rate curve. Furthermore, the " half time" method in itself
does not provide a test for constant D.
Towards the end of sorption, the summation in equation (2.32)
converges rapidly, and only a single term (nf = o) in the summation
series is important. Thus, equation (2.32) reduces to
M R
- = 1 - -^.exp (D7T2t//2) (2.35) M
and a graph of ln(M a > - M ) against time is linear, for which the gradient
is given by
^ U n ( M „ - M J ] = - ^ ( 2 . 3 5 a )
Variable Diffusion Coefficient: The Plane Sheet.
When the diffusion coefficient is a function of concentration, the
methods of ascertaining D, as described earlier will yield an average
diffusion coefficient. The measured diffusion coefficient, denoted by
D , may, however, be related-to the true diffusion coefficient by the
methods outlined below.
The initial rates of sorption and desorption are given by the single
expression,
d(M /M ) t
" " * "l dt2"
I g 2 ) (2.36)
33
It is normally found that when D(c) increases with concentration , the
linear portion of the sorption or desorption curves may be
extended well beyond M /M = Other features of a concentration 3 t « 2
dependent diffusion coefficient in relation to the sorption and desorption
rate curves have been summarised by Crank et al., (12,13).
Average Diffusion Coefficient.
Crank and Park (21) showed that the value of D could be related to \
the differential diffusion coefficient, D(c), using the relationship,
- 1 D ^ —
— c O ' o
c o
D(c).dc (2.37)
where the limits of integration specify the upper and lower bounds
of the concentration.
Rearranging equation (2.37) and differentiating w.r.t., c gives,
D(c) ^ D + c (2.38) o d e
o
The variation of D as a function of c can be constructed and the o
differentiations w.r.t. c may be evaluated either by numerical or
graphical techniques . This gives the first approximation to the D(c) Vn,
CQ relationship. If the diffusion coefficient is only a weak function of
concentration, the first approximation is normally found to be sufficiently
accurate. However, successive approximations may be employed by an
iterative procedure until a specified degree of accuracy is achieved.
34
Conjugate Sorption-Desorption.
Prager and Long (22) found that the mean of the sorption diffusion
coefficient, (D ), and the corresponding conjugate desorption diffusion
1 r c
coefficient, (D.), was more closely approximated by — d c
o So,
° D(c).dc.
D + D . t f C° D = — - <v, -L D(c). dc (2.39)
2 — c o J o
Weighted Mean Approximation.
Crank (24) further found that the individual values of the average
diffusion coefficient measured from sorption and desorption rates were
better related to D(c) by
c r o _
1) ^ pc ~p ! cP~.D(c).dc (2.40) S — o J o
for sorption and
c^
D ^ qc ~ q [ (c - c)" 7" 1. D(c). dc (2.41) d — o 1 o J o
in the case of desorption.
The expressions were found to be well behaved for D(c) as an
increasing function of concentration of over twenty decades with
P = 1.67 and a = 1.85. Barrie and Machin (23) found that for a diffusion
coefficient decreasing with concentration, the same expressions held
but with the values of p and a interchanged.
35
2.2. Solution of Fick's Equation: The Solid Sphere.
The use of the plane sheet for determining the diffusion coefficient
of a polymer-penetrant pair becomes less attractive, when very low
diffusion coefficients are encountered. There is a practical limit
for the finite thickness of the sheet and normally this is found to be
in the range of 10-20 microns, however, the technique of emulsion
polymerisation affords a convenient method of preparing sub-micron spheres,
usually with a high degree of mono-dispersity. The net effect, therefore,
is a pronounced reduction in the effective thickness of the sample and
a corresponding reduction in the time for equilibration. In the following
section, standard solutions of Fick's equation of diffusion are presented
for the geometry of a solid sphere.
Constant PI Solid Sphere.
If diffusion is radial and controlled by a constant diffusion
coefficient, then
3)
and
J = -D. ~ (2.42)
3r
If = fe « • " >
where u = c.r (2.44)
The forms of equations (2.42) and (2.43) are similar to equation (1.2)
and (1.3) so the solutions to radial diffusion may be inferred by
analogy with linear flow in the plane sheet.
36
As found with the plane sheet, two standard types of solutions are
obtained and again, one is more appropriate for tlx? small time domain
and the other for the long time domain.
Small Time Domain.
The sorption rate curve may be completely described by the expression
M i 00
-E. = 6 ( 5 $ ) ' [ — + 2 £ ierfc ] - 3 ^ (2.45)
M v u / V /tt n=l / Dt
M r r— •, rrrr r
and
lim ierfc ( n r ) = 0 (2.45a)
t -v o / Dt
It is thus, simple to show that the rate of initial uptake of
penetrant by the sphere is
(d M /M ) , / [ -J = ^ / D ( 2 > 4 5 b )
. i t->o r / dt
Long Time Domain
The sorption rate curve may be described by the alternative expression
viz. ,
M
^ = ^ I ^ exp (-Dn 2TT 2t/r 2) (2.46) n=l
and as discussed earlier with the plane sheet, a " half time" denoted
by tj_ at M^/M = may be defined, whence equation (2.46) simplifies to
the approximate expression,
D 3.06 x 10 r 2/t i (2.47)
37
Towards the end of sorption, the summation given in equation ( 2 . 4 6 )
converges rapidly, to give
CN (1 " M j V M j = /II (6/TT 2) - DTT 2 1 / r 2 ( 2 . 4 8 )
Thus, at the latter stages of sorption, a plot of ln(l - M /M^)
vs. time is linear from which the diffusion coefficient may be evaluated
from the gradient.
Variable Diffusion Coefficient.' Solid Sphere.
The equations presented in equations ( 2 . 4 5 ) to ( 2 . 4 8 ) inclusive are
strictly applicable for the diffusion of a penetrant in a sphere when
the process of diffusion is controlled by a constant diffusion coefficient,
D. However, again by analogy with transport in the plane sheet, an
average diffusion coefficient, D, may be defined from
d( M /M ) , r = — t «> 6 / D ( 2 . 4 9 )
T~ = ~ * V dt 2 r
Crank (24) has suggested that D, is related to the differential diffusion
coefficient D(c) through the approximation
r i D ^ —
- c o o
° D(c).dc (2.50)
Thus, the methods outlined earlier for ascertaining the form of the
concentration dependence of D(c) arc still applicable, and will not be
discussed further.
38
2.3. The Dual-Mode Sorption Theory.
Below the glass transition temperature, the equilibrium sorption
isotherms of gases and the vapours in polymers show a negative deviation
from Henry's Law. The shape of the isotherm was explained by Barrer
et al., (25) to be due to two modes of sorption, namely normal dissolution
in the polymer matrix and concurrent adsorption within the microvoids.
It was further postulated that the concentration of sorbate from normal
dissolution (c^) and the concentration of adsorbate from hole filling
(c^) together comprise the equilibrium concentration c. viz.,
c = c + c (2.51) \) n
in which c. was assumed to obey the Henry's Law of dissolution,
c D = V P < 2 - 5 2 >
where k is the Henry's Law dissoltuion constant [cm 3(STP)/cm 3(polymer)
cmHg] and p the equilibrium pressure [cmHg].
The concentration c.' was accounted for by the Langmuir isotherm,
C H = °H b p / ( 1 + b p ) ( 2 ' 5 3 )
where c' is the hole saturation constant [cm 3(SIT)/cm 3(polymer) ] H
and b the hole affinity constant [(cmHg) Substitution of equation
(2.52) and (2.53) into (2.51) then gives the formal dual-mode sorption
equation,
c = k„p + i-J, bp/(1 + bp) (2.54)
39
Two important conditions prevail at the extremeties of pressure!
(i) at low pressure, when (bp « 1), equation (2.54)
reduces to
c = (kD + c'b)p ,(2.55)
The term in parenthesis may be visualised as a " psuedo" limiting Henry's
Law constant, which may be defined as
s l - p- • f k „ + <•,?> ( 2 - 5 6 )
(ii) at high pressures, when bp » 1, equation (2.54)
reduces to
c = k D p + c^ (2.57)
From equations (2.55) and (2.57) it may be inferred that at low pressures,
the processes' of hole filling and normal dissolution are competitive ,
but at higher pressures, the microvoids saturate and normal dissolution
then dominates.
The mathematical form of equation (2.54) together with the prevailing
conditions in the limits of low and higher pressures, allow a simple
analytical means of determining k^, c 1 and b. The linear asymptote at
high pressure has a gradient k^ and an intercept at the ordinate of
CJ'J . Therefore, the value of c^ as a function of p may be estimated
by rearranging equation (2.51) and substituting for c to give
(2.58)
40
The concentration of adsorbate in the microvoids c„ may thus be H
" extracted" from the total concentration,, c. Rearranging equation
(2.53) gives
• - V + 4 (2.59) C H H b C H
According to equation (2.59), a plot of p/c^ versus p should be linear
with a gradient of 1/c' and an intercept at p = 0 of 1/c' b. II H
This method of determining the parameters k , c' and b is open D H
to two severe criticisms. Firstly, it is assumed that 'the experimentally
measured sorption isotherm has been extended to sufficiently high
pressures in order that the limiting high pressure asymptote be
truely attained. This may often be untrue and will be demonstrated
in greater detail in Chapter Seven. Secondly, the mathematical form in
which equation (2.59) appears,con tains the variable, p, on both sides
of the expression. In effect, therefore, linearity of the resulting
graph may be deceptive. If the graphical method is to be employed , it
is perhaps better to rearrange equation (2.59) into the form
1 1 1 1
II H P C I !
whence a plot of 1/c^ vs. 1/p should be linear with a gradient 1/c^b
and an intercept at l/c„ = 1/c'.
M n
A technique has been proposed by Koros et al., (73) and also discussed
in detail by Barrie et al. (68), based on the more rigorous method
of non-linear regression analysis, from which k , c' and b were evaluated
using an iterative procedure on a computer. This method, has been found
during the course of the work to be very convenient and extremely reliable,
41
2.3.1. The Thermodynamics of Sorption.
There are three fundamental thermodynamic quantities which are
relevant to the dual-mode sorption theory! namely, AH^, the enthalpy
of dissolution, AH , the enthalpy of hole filling and AH , the overall II O
heat of sorption.
The enthalpy of dissolution is obtained from the temperature
dependence of the normal Henry's T.aw constant, k^, through the van't Hoff
expression
k D = k D o.exp(-AH D/RT) (2.61)
The hole filling constant, b, obeys a similar expression in which
b = b Q exp (-AH /RT) (2.62)
The overall heat of sorption is concentration dependent and can be
obtained from the temperature variation of the free energy change in
proceeding from the gas in the standard state to gas in the sorbed state,
Hence,
and since
then
AC g = RTlnp (2.63)
_ DAG / T All = ( — r — ) ( 2 - 6 4 )
S ~ 1 c 11 —
T
AH _
l TS = (2.65)
3-
42
The dual-mode sorption expression given in equation (2.54) may be
rearranged to yield an expression which is explicit in concentration,
viz: -
[ ( k D + c' - be) 2 + 4 k p b c P + (be - k D - c ; b) ( 2 > 6 6 )
P 2k Db
and substituting equation (2.66) into (2.65) then gives an analytical
expression, which may be differentiated numerically, to give the overall
heat of sorption (Alh) S c, p
Although the three thermodynamic quantitites 411^, AH and AH^ may be
determined by the methods outlined above, there is no simple relationship
between these three quantitites. However, in the limit of high pressure,
the hole filling process is expected to be completed and the enthalpy of
hole filling AH^ is therefore not expected to contribute to the overall
heat of sorption, Thus
lim (AH ) ^ A H d (2.67) C - > no
Similarly, in the limiting Henry's Law region at zero concentration,
43
2.3.2. Hie Diffusion Model for Dual-Mode Sorption.
The basic assumptions of the dual-mode sorption theory state that!
(a) there is local equilibrium between the dissolved species and the
adsorbate immobilised within the microvoids. Thus, the kinetics of
immobilisation are assumed to be rapid and the rate-determining step
is the slow diffusion of the dissolved species.
(b) the penetrant which is adsorbed according to the Langmuir
isotherm is completely immobilised.
The fulfilment of conditions (a) and (b) form the fundamental
postulates of the dual-mode sorption theory. This is now seen as a
limiting case conventionally referred to as the total immobilisation
model. Condition (b) which assumes no mobility of the Langmuir component
has been relaxed, giving rise to the partial immobilisation theory. There
is considerable evidence in support for partial mobility of the adsorbate
although in the present study, the total immobilisation model proved
to be adequate.
Total Immobilisation Model.
In the following, a brief outline of the diffusion model based on
total immobilisation is presented. A more detailed account may be found
elsewhere (26).
The overall flux may be written as
J = - D ( c ) . ( 2 . 6 9 ) Dx
where D(c) is the experimentally observed diffusion coefficient and is
concentration dependent. However, according to condition (b) , the
flux is due solely to the dissolved species, and so,
44
J " " D D & ( 2 " 7 0 )
D^ represents the diffusion coefficient of the dissolved species and
is independent of concentration. D^ is sometimes referred to as the
" true" or " effective" diffusion coefficient since transport is
believed to be controlled by the dissolved species only. However,
whether the differential diffusion coefficient,D(c), or the diffusion
coefficient of the dissolved species, D^, should be assigned the " true"
diffusion coefficient is purely subjective. For the present purpose,
neither will be referred to as the " true" diffusion coefficient in order
to avoid the possibility of misinterpretation.
Combining (2.69) and (2.70), gives
3c
D DC
The differential (Sc^/Dc) is easily evaluated from partial differentiation
w.r.t. p,
^ D = ^ D . 3p k D (2.72) 3c 3p 3c k D + c ^ b / ( l + b p ) 2
substituting (2.72) into (2.71) gives
C H H - 1 D(c) = I) [1 + w " . ,2] (2.73)
D D + bp)
In the limit of low pressures (p o)
( D ) c = n = D .k /S^ (2.74)
45
and at high pressures (p -><*)
The diffusion coefficient, D^, may theoretically, be determined at
high pressures, when the observed D(c) is identical with D^. However,
this condition may not be possible to experience practically, due to the
inordinately high pressures which are required to saturate the
microvoids.
Solutions for D^ are presented below for measurement based on sorption
kinetics using the relationship given in equations (2.36), (2.38) and
(2.73). Since
c o
c
° D(c).dc (2.76) o
Rearranging equation (2.76) and differentiating gives
D + c ( ~ - ) = D(c ) (2.77) o dc o
o
D(c^) represents the observed diffusion coefficient at concentration,C q,
and is also given by equation (2.73). Thus, substituting (2.73) into
(2.77) and rearranging gives
D = (D + i' f-)[l + ( 2 " 7 8 )
D o • dc k „ U + bp) o D
46
D C a n be determined from a graph of D vs. c and constructing tangents D o
at various points to give (dD/dc o). In order that D^ be evaluated with
considerable accuracy, a large number of points is required on the D
vs. c curve. Furthermore, the accuracy is limited by the precision — o
in which the value dD/dc may be evaluated. o
A much simpler method may be arrived at by substituting equation
( 2 . 7 1 ) directly into ( 2 . 7 6 ) giving
c ^ 1 f ° D D = — D_ .dc ( 2 . 7 9 ) c < D 3c o J o
Since D may be assumed to be constant, integrating directly gives
D D D = r ' c =c (2.80)
o °
Substituting the expression for c^ and c q given in equation (2.52) and
(2.54) respectively then gives
W (2.81) k D P + c j j b p / d + b p )
The evaluation of D^ may therefore be performed using D, k^, c^
directly at each pressure, p.
Permeability Coefficient for Total Immobilisation.
An average solubility, k, may be defined from
k = c /p (2.82) o
47
and hence the permeability follows from
P = D.k (2.83)
comparing equations (2.80), (2.82) and (2.83) gives
c c P = D.— = D . — (2.84)
P D p
and substituting (2.52) into (2.84) gives
p = V k n ( 2- 8 5>
Partial Immobilisation Model.
In later developments, the constraint of total immobilisation of the
Langmuir component to the diffusion process has been relaxed. A finite
contribution to the overall flux has been assigned to the Langmuir
component and this has been found to be more representative of diffusion
in some glassy polymers.
In the following, the notation D^ as used in the earlier section will
be retained, and in addition D^ will be used to represent the diffusion
coefficient of the hole species which is also assumed to be constant.
By a consideration of fluxes,
D 3 c D J - - D ( C ) i £ = - n n - - D H a — (2.86)
rearranging gives,
D ( c ) - ( D n ' V * 5 T + d h ( 2 " 8 7 )
48
Substituting equation (2.87) into (2.76) gives
D = — c o
°l(DD - V &
+ V
d c
and on integrating
5 - r % " V + d h o
(2.89)
Equation (2.89) predicts a linear relationship between D and from
which D^ may be evaluated from the intercept at c q / cq = 0 a n <3 the value
(D^ - D^) from the gradient.
In the limit of D^ = 0 (i.e., the condition of total immobilisation),
equation (2.89) reduces correctly to the expression given in equation
(2.80).
Permeability Coefficient: for Partial Immobilisation.
Again, an average solubility k and a permeability P may be defined
as given in equations (2.82) and (2.83) respectively. Thus, with
equation (2.89),
P = D.
and
c c — (I) - D ) + D .— p D H H p
D
(2.90)
(2.91)
The permeability coefficient, P, is then expected to be concentration
dependent due to the term (c^ - c 0)/c^. In the limit of total immobilisati
DJJ = 0, and equation (2.91) reduces simply to equation (2.8 5).
on
49
CHAPTER THREE
LITERATURE REVIEWS
In this chapter, five reviews are presented, which are relevant to
the current study. Where adequate reviews are available elsewhere, only
a brief treatment of the subject was undertaken.
The first review concerns some of the molecular theories of diffusion.
Although at first sight there appears to be a variety of models for the
transport of a penetrant molecule within a polymer medium, many
of these were found to be extensions of either the free volume theory
or the activated transition state theory and will be treated as such.
The second review e x a m i n e s the extensive study of gas and vapour
transport in glassy polymers. Over the years, the study of the transport
of small molecules in glassy polymers has been found to be of great
academic value in the understanding of the behaviour of polymers below
the glass transition temperatures. In addition, the recognition of the
fundamental importance of these polymers as potential substitutes for
natural resources, namely wood, glass and steel, requires yet, a still
greater knowledge of polymers in the glassy state.
A means of ascertaining a priori the usefulness of polymers in the
field of packaging (27,28,29) prompted a serious examination of some
phenomenologic.al correlations between the transport and sorption
parameters and fundamental gas properties. It was found that correlation
functions have been suggested from as early at 1949, but although many
50
were founded on sound theoretical arguments, a large number are
either empirical or semi-empirical and should be used with reservations.
Heterogeneous polymers, today, constitute a large proportion of the
commercial rubbers and plastics. In conjunction with the growth in the
field of heterogeneous polymers, a growing interest in the transport
properties of gases in these polymers was found in the literature.
The concept of the small penetrant molecule, behaving as a microprobe
has been used extensively in an attempt to examine and elucidate the
microstructure of these systems. However, the interpretation of the
results, by many -investigators was found to be only semi-empirical and
serious comparisons with theoretical models for transport in heterogeneous
media was found to be more the exception than the rule.
Finally, a brief discussion of the models derived for transport in
heterogeneous media is included.
3.1. The Molecular Theories of Diffusion.
Since excellent reviews are presented elsewhere (30,31) it is felt
that a brief qualitative treatment of some of the more pertinent under-
lying assumptions connected with each model will suffice.
.'•Zone Theory (32,33,34,35).
The premise that diffusion of a molecule in a liquid or solid was an
activated process had been recognised as early as 1936 by Eyring (36).
Several other models followed and it was found that all the expressions
deduced for the diffusion coefficient considered the diffusing particle
to be vibrating and moving to successive positions of equilibrium when
51
sufficient activation energy was acquired by the system. The analogy
with diffusion in a polymer was drawn by Barrer (32). Calculations
presented by Barrer indicated that the energy of activation was
distributed over a number of degrees of freedom shared between the
diffusing molecule and the surrounding polymer segments, so called
" hot zones" .
Free Volume Theory (37).
The free-volume theory was based on the concept of density fluctuations
in liquids. Regions of low density being approximated in the crudest of
treatments to " holes" . Diffusion of a molecule is then governed by
the probability that some critical element of free-volume is made
available to the molecule for a diffusion step to occur.
The free-volume theory and activated zone theory form the two fundamental
concepts of diffusion in polymers. A notable difference between the two
theories is that in the zone theory, the diffusion coefficient is
exponentially related to temperature whereas in the free-volume theory
the diffusion coefficient is exponentially related to the average free
volume.
Several theories followed which may be treated largely as extensions
to the free volume and zone theories. Brandt (38) modified the zone
theory by accounting for the molecular structure of the polymer-penetrant
system. The activation energy for diffusion, E^, was assigned to
(i) E.. : the intermolecular energy required to separate
adjacent polymer chains in order to create a
space for the penetrant,
52
the intramolecular energy required to bend
two neighbouring chains and finally,
the thermal energy.
Brandt was able to calculate K without recourse to adjustable
parameters and he (106) also proposed that E should vary linearly
with the square of the penetrant diameter and intercept the abscissa
at between 5 and 8 X 2 .
DiBenedetto [39(a) -4() ] proposed a volume fluctuation theory which
has since been adapted by Pace and Datvner [41(a),(b),(c)] . Pace,et al.,
considered a spherical penetrant, contained within a bundle of polymer
chains. The effective motion of the gas molecule was then assumed to
occur in two separate manners , namely,
(a) Along the axis of the polymer b u n d l e s -
This required the lesser energy to effect, and
the only energy involved was the energy required
for the shortest jump step.
(b) Perpendicular to the axis:-
For the penetrant molecule to translate into an
adjacent chain configuration, the polymer segments
must bend in a concerted manner. The energy involved
is that required for intramolecular chain separations.
Since process (a) requires the lesser energy, it begs the question
of the need for process (b) ever to occur. In practice, the model
postulates that process (a) predominates until further longitudinal motion
is hindered, either through strictures in the chain, or embedded obstacles
such as crystal 1ites. For continued motion, the molecule must translate
to an adjacent " tube" through process (b) before continuing again
with process (a).
(ii)
(iii) E th
53
3.2. The Dual-Mode Sorption Theory (A Review 1976-1981).
The dual-mode sorption theory for gases was apparently first suggested
by Meares (42) in 1958. Based upon his earlier work (43,44) on the
transport of gases through poly(vinyl acetate). Meares proposed that the
sorption of gases in polymers below the glass transition temperature
(T ) led to a sorbate with two distinct modes of mobility. Barrer et al.,
(25,46,47) found that the equilibrium sorption isotherms of hydrocarbon
vapours in ethyl cellulose below T t deviated negatively from Henry's
Law. They discussed the possibility of sorption into pre-existing gaps
formed within the polymer. A tentative proposal that adsorption into
these gaps may be described by a Langmuir isotherm (50) was also suggested.
A formal mathematical model was not proposed, however, until 1963 (48);
a model for diffusion followed several years later (26) . Since then,
the dual-mode sorption theory lias met with considerable success in the
interpretation of the transport and sorption of gases in glassy polymers.
An excellent review of the subject has been presented by Vieth, Howell
and Hsieh (51). Their treatise embraced a complete examination of
theoretical and experimental aspects of the subject from the embryonic
stage. It is felt that any attempt to reiterate their critique would
be tautological and the present review, therefore, is concerned primarily
with material presented after the year 1976, although reference to earlier
publications will be cited when felt to be necessary.
In 1978, Koros and Paul (52) commenced their studies on the sorption
of C0 2 in poly(ethylenetcrcphthalate), PET. Earlier, studies on a
similar system had been reported by Michael et al., (53). There was
close agreement between the two independent studies, despite the
54
anomalous dilatometric effects of C0 2 which expands the cavity component,
and also the uncontrolled annealing in the earlier study.
Koros, et al., in particular showed the effect of temperature on
the Langmuir component to the sorption; at sequentially higher temperatures,
the magnitude of the Langmuir sorption relative to the Henry's Law sorption
b / k D ' decreased, a n c* eventually reduced to zero at TO. A quantitative
relationship, between the Langmuir capacity (c' ) and the differential H
thermal expansion coefficient of the polymer above and below T^ was
discussed. The volume coefficient of expansion of a polymer is greater
above T than below. Accordingly, in a hypothetical situation, where g
the coefficient of expansion of the polymer, above T^ could persist
below the T^, the difference at any temperature T (where T < T ) between
the actual volume of the glassy polymer and that of the hypothetical
rubber was postulated to be a measure of c' . Experimental evidence was H
provided which showed a tacit agreement with their postulate.
In a later study (54), the transient and steady state transport of
C0 2 in PET using conventional permeation techniques were reported.
Permeabilities and time lags were found to decrease with increasing
upstream driving pressures in accordance with their model for partial
immobilisation (55). It is interesting to note that their time lags
calculated using the partial immobilisation model have a tendency to lie
above the experimentally determined points. This observation was also
reported by Toi (56) who studied a similar system. Toi used a curve
fitting procedure to analyse the experimental time lags under the
constraints of the dual-mode sorption theory to arrive at the parameters
C H ' n n c 1 1 , c f° m K l tbnt the hole affinity constant, b, determined
by this method differed from the equilibrium sorption isotherm but offered
110 explanation for the apparent discrepancy.
55
The energetics of C0 2 sorption in PET was discussed by Koros,
Paul and Huvard (57). It was found that when the isosteric heats
of sorption, AH^., were plotted against concentration, a minimum was
observed,which is in common with results on other systems (68,79).
In a lengthy, thermodynamic treatment, a theoretical expression for AH^.
as a function of concentration was derived (58). Their analytical
expression included the term AH*, which was assigned to the apparent
enthalpy, characterising the temperature dependence of c' . It was H
pointed out, however, that AH* had no real significance.
In 1974, studies on the transport of vinyl chloride monomer
through poly(vinyl chloride), PVC, powder was commenced by Berens (59)!
the innovative use of submicron sized spheres allowed systems with
very low diffusion coefficient to be studied. In a later study (60),
the effect of the non-uniformity of particle sizes on the kinetics of
sorption was reported. It was observed that although emulsion poly-
merisation produced essentially mono-dispersed samples, normally in
the range of 0.1 to 1 microns, suspension and mass polymerised samples
showed a tendency to agglomerate, although primary particles in the
range 1 to 5 microns were still discernible. The kinetics of sorption
indicated the rate-controlling factor in these latter samples to be
the dimensions of the primary particle rather than the larger agglomerates.
Later (61-65) the analysis of the complex behaviour of heavy vapours
in polymer powders was reported. A means of separating Fickian diffusion
from the slower relaxational process was discussed and an overall model
proposed.
56
The use of microspheres in the study of hexane diffusion in
polystyrene was also explored by Enscore et al. (66). These workers
showed that marked differences in the sorption behaviours could be
introduced simply through varying the dimensions of the polymer sample.
The diffusion of heavy vapours in small samples (microspheres) corresponded
to Tick's equation with a heavily concentration dependent diffusion
coefficient whereas with larger samples (sheet), Case II diffusion was
observed. It is beyond the scope of this review to include the
phenomenon of Case II. diffusion but enlightening reviews of the subject
may be sought elsewhere (45,49).
Polystyrene, PS,in both film and powder form was studied by
Barrie, W M l i a m s and Monday (68) using some simple hydrocarbon vapours.
The results for the diffusion of methane in PS were in good agreement with
an earlier study by Victh, Tarn and Michaels (69). A systematic study
of propane sorption in both the polystyrene sheet and powder showed
large differences between the two samples ; it was observed that
although the Henry's Law component (k^) to the sorption process was
comparable in both cases, the powder showed an inherently higher
Langmuir component. This phenomenon was reported again by Huvard
et al. (70) for C0 2 sorption in poly(acrylonitrile), PAN. In this
case, it was found that annealing the microspheres, at a temperature
just below the T t effectively reduced the sorptive capacity of the f-
powder, but still, the magnitude of the sorption was higher than that
of the sheet. A tentative explanation based upon surface sorption
effects was proposed. Barrie et al., considered that differences in
the relative microvoid cent ent may be responsible.
57
Williams (71) studied the transport of propane in polycarbonate,
PC. He showed that the immobilisation of the adsorbate associated with
the Langmuir component was only partial and the contribution by this
component to the overall flux increased as the temperature was reduced;
the contribution by the Langmuir species was estimated to be in the
order of 10-20%. Koros, Paul and Rocha (72) found the Langmuir
contribution to be approximately 10% for C0 2 in polycarbonate*, this
estimate was revised later (73) to 7.8%. Assink (74) studied the
transport of ammonia in polystyrene by a novel pulsed NMR method",
mobility of the Langmuir species was estimated to be ^ 5%.
The transport and sorption of C0 2 in PC was studied in exhaustive
detail by Koros et al. (72). Permeabilities and time lags were reported
to decrease with increasing i n g o i n g pressures, as was found for C0 2
in PET, reasserting the model for partial immobilisation. The transport
of four additional gases, CI-U, Ar, N 2 and He was later studied by Koros,
Chan and Paul (73); their results for Ar were found to be at variance
with an earlier study by Norton (76). In addition, all the gases with
the exception of He were well described by the partial immobilisation
theory, the results for He were anomalous and indicated a Langmuir
contribution of over 133%.
It xcas also proposed in their study that since c' was associated with
t h e 1 " void" content in the polymer, it may be used in estimating the
proportion of free volume that was effectively "frozen" . The main
difficulty that they encountered was in the assignment of the correct
density of the C0 2 sorbed in this state. A similar treatment was suggested
earlier by Eilenberg and Vieth (77).
58
Included in Koros' (73) paper was an interesting discussion on
the statistical accuracies associated with estimating the dual-mode
sorption parameters. In essence, it was shown that to calculate c' H
and b as separate entities incurred much larger error than if the
product c' b was considered. H
The effect of prior exposure of PC to C0 2 on the sorption and
transport parameters was re-examined by Wonders and Paul (78). The
solubility of this gas in glassy polymers is sufficiently high at
elevated pressures to disturb the internal distribution of unrelaxed
volume. At high pressures of C 0 2 , the enhanced sorption dilates the
polymer through small scale re-adjustments of the chains, in order to
accommodate the C0 2 molecule. On desorption, the polymer expansion is
not recovered immediately and this is reflected by an increase in the
Langmuir sorptive capacity in subsequent sorption measurements at
lower pressures. Wonders and Paul examined in particular, the effect
of uniform and vectored conditioning on the transport through the PC
membrane. Uniform conditioning could be interpreted easily using the
dual-mode sorption theory, however, vectored conditioning could not be,
explained as well. Unlike uniform conditioning,in vectored conditioning,
only one surface was exposed to C 0 2 , whilst the other face of the membrane
was maintained at vacuum. The distribution of the sizes of the microvoids
therefore varied as a function of distance, establishing in effect,
a graded membrane.
The transport of gases through poly(acrylonitrile), PAN,was first
examined by Allen et al. (79). The barrier properties of PAN to seven
gases nns examined in detail. One of those gases, C 0 2 , was later (70)
59
the focal point of further examination. In this later study, the
effects of annealing on the sorption of C0 2 in PAN powder and sheet
was reported. It was shown that slow controlled cooling of a sample
held at a temperature just below the T ^ effectively reduces the sorptive
capacity. Furthermore, annealing was found to be effective on one
cycle only, and repeated annealing produced no significant changes to
the isotherm. Their studies of the transient state permeation through
the PAN sheet reflected pronounced differences between the experimental
time lags and those predicted from theory.
Ethyl cellulose was first studied by Barrer, Barrie and Slater (25).
It was these early studies that led to the speculation of pre-existing
sorption sites in the glassy polymer and the proposed use of the dual-
mode sorption isotherm to describe the sorption. Although these investiga-
tors did not analyse their results in terms of the dual-mode sorption
theory, Chan, Koros and Paul (80) later re-examined their data to find
it consistent with the proposed theory. Chan et al., also provided
additional evidence in support of partial immobilisation of the Langmuir
component.
Poly (methyl me'thacryla te), PMMA, has recently been studied with
renewed enthusiasm. One of the earliest reports of gas transport through
PMMA was by Barker (81) who studied 0 2 diffusion by a novel optical
technique. The value of the activation energy of diffusion which he
calculated was in good agreement with a later study by Patel, Patel,
Patel and Patel (82). This group of investigators also reported on
the transport of four other gases, He, H 2 , N 2 and C0 2 through the same
polymer membrane. It was found during the course of the present study that
60
the results presented by Patel et al. are prone to errors and a
careful scruntiny of their data is to be recommended.
Koros, Smith and Stannet (83) have recently reported on the
sorption of C0 2 in both PMMA and poly (ethyl methacrylate) , PEMA. A
comparison of the results indicates that the sorption of C0 2 in these
two polymers is fairly typical of that normally found in glassy polymers.
However, enthalpic results for the Langmuir sorption were negative
for PMMA but positive for PEMA. Koros et al. attributed this anomaly
to residual acetone found in the latter which was used as the casting
solvent in the preparation of the film.
In this final section, a brief resume of some theoretical considerations
related to the dual-mode sorption theory are x>resented. The basic
assumptions of the theory have already been outlined in Section (2.3.'2)
in relation to the diffusion model proposed by Vieth and Sladek (26).
There appears to be considerable evidence in support for only partial
immobilisation of the Langmuir species and Petropoulos (84) in particular
critically examined the validity of this fundamental constraint; lie"
showed that slow hole filling kinetics resulted in a time-dependent
diffusion coefficient, and pointed out that the effect of only partial
immobilisation resulted in a pressure dependent permeability coefficient,
coupled with only a weak dependence of the time lag on the upstream driving
pressure. A complete summary has been presented by Paul et al. (54,55,
85).
Tshudy and von Frankenberg (86) also relaxed the postulate of
rapid equilibrium between the two penetrant populations. Their theory
61
is not confined to the dual-mode sorption process only, but is equally
applicable to systems in which the rate of diffusion is comparable
in magnitude to the rate of immobilisation.
Bhatia and Vieth (87) questioned the applicability of a combined
Henry's Law and a Langmuir isotherm in characterising the dual-mode
sorption isotherm. They introduced a novel idea in which both the
mobile and immobile species were characterised by two separate Langmuir
isotherms.
Grzywna and Podkowka (88) also challenged the cogency of the
dual-mode sorption equation. They replaced the Langmuir isotherm by
the Freudlich isotherm but obtained only limited agreement with their
experimental data.
These last two contributions to the dual-mode sorption theory
exemplify the main pit-fall of the theory. A three-parameter equation
of the type used to describe the dual-mode sorption isotherm, is capable
of fitting a wide number of systems, although the goodness of the fit
should not be treated as concrete proof for the correctness of the model.
However, the consistency of the results reported over the years in
relation to the sorption of gases and vapours in glassy polymers certainly
suggests a basis for further examination into the subject.
62
3.3. The Phenomenological Correlations of Transport and Sorption
Parameters.
In the study of the sorption and transport processes of gases
through polymers, it becomes increasingly more important that some
meaningful correlations of the transport parameters with the fundamental
molecular structural variables of the penetrant exist . Such phenomeno-
logical correlations are not only important from the point of view of
predicting unknown parameters from existing information, but also
advance the understanding of basic diffusional processes! It
should be pointed out that numerous correlations have been suggested
in the literature, but although some are based upon sound theoretical
premises, there are in addition, many empirical correlations which are
peculiar to specific systems and may not be generally useful. These
latter correlations should therefore be treated with caution.
The correlation of the dissolution constants (k^) to the properties
of the gases was apparently first suggested by Gee (89). Gee considered
the dissolution of a gas in an elastomer as being a process of
condensation followed by mixing between the sorbate and the polymer
medium. He arrived at a simple relationship between k^ and the boiling
point of the penetrant (T^).
- I n k 4.5 +ii - 10T /T (3.1)
He showed that p was not of critical importance and could be set to
zero. Equation (3.1) then reduces simply to
at 30°C.
1 nk_. -4.5 + 0.033 T. I) — b
(3.2)
63
Experimental verification of equation (3.2) was provided immediately
by Barrer and Skirrow (90) and later by van Amerongen (125); the success
prompted further examination into other possible correlations. The
premise that a polymer matrix could be likened to a low molecular weight
liquid suggested that k ^ could also be successfully correlated to
the Leonard-Jones force constant (e/k). This remains one of the most
promising correlations, since ("e/k) is felt to be a more fundamental
thermodynamic property than the boiling point T^, for measuring the
proclivity of approximately spherical gas molecules to condense in a
liquid like matrix (91). Michaels and Bixler (93) developed this idea
and later derived an expression for predicting k^ for a hypothetically,
completely amorphous polyethylene, viz.,
lnk D ~ "3.66 + 0.026 i c/k) (3.3)
Experimental verification of equation (3.3) has been reported in the
literature (92,94).
Stern, Mullhaupt and Garesis (95) applied the theory of corresponding
states to the process of equilibium sorption. They found a smooth
relationship existed between lnk^ and the quantity T c/T> where T c
denotes the critical temperature of the gas. They modified their
expression to yield a linear relationship between Ink^ and (T c/T)2.
The heat of dissolution, AH^, by similar argument, should correlate
with the properties of the gas since the heat of dissolution may be
treated as a composite quantity comprising the heat of condensation and
tli? heat of mixing. Michaels et al. , (93) studied the sorption of twelve
gases in linear polyethylene and they found the expression,
64
A H D = A X - A 2 (c/k) ( 3 . 4 )
to hold true, in which A 2 , the gradient, was assigned the value 0.0653.
Barrer and Skirrow (90) found empirically that AH^ was proportional
to the number of carbon atoms in a homologous series of n-paraffins
for sorption in natural rubber. Reid, Pransnitz and Sherwood (9 6)
have recently found that T^, T^ and c / k are all interdependent.
Correlation functions pertaining to gas permeabilities have not been
met with the same degree of enthusiasm. The reason for this probably
lies in the more complex nature of the permeability coefficient. Despite
this, Stannett and Szwarc (97) in their examination of the effect of
irradiation on the permeability found the ratio of the permeabilities of
a number of gas polymer systems to be uncannily constant. In a similar
vein, Allen et al., (79) found the ratio of P /P to be approximately gas u 2
equal to 60 for most polymers. Helium, however, was found to be anomalous
and yielded a ratio of 2000. Hammon, Ernst and Newton (99) in their
quest for the elucidation of an effective radon barrier studied the
permeability of three inert gases through a number of polymer films.
They made a notable attempt to correlate the permeability against
(1) cohesive energy density, (2) relative density and (3) refractive
index of the polymer. They also tried to relate the permeability to the
diameter of the gas molecule, d, and also to d2,* none of which were
entirely convincing. However, they found that linearity existed between
InP and the product of the cohesive energy density and the relative
density, but offered no satisfactory explanation for their findings.
Another empirical correlation was proposed by Salame (98) in which a
correlation between the polymer structure and the gas permeability of
65
polymeric materials was suggested. Recently, a theoretical treatment
has been advanced by Lee (100), which predicts a linear relationship
between log(Permeability) and (1/ specific free volume). A modified
version of their correlation was used in the present study, and the
results are indeed promising.
The correlation of diffusion data has generated the greatest
controversy. The manner of the correlation reflects to a certain degree
the mechanism of the diffusion process and since there are a variety
of molecular theories for the process of diffusion it is not surprising
that there are also numerous correlation relationships suggested in the
literature.
Barrer et al., (113) suggested a correlation between ln(D^) and
E^/T ; the remarkable quality of their correlation was argued on the
basis of the small range of values which In (D ) spanned compared with
t Ep. Barrer et al., also showed a linear correlation between AS , the
entropy of activation,with E /T. Recently, Chen and Edin (101) have
i shown that ln(D ) is also related to AS .
o
Meares (.44) assumed that the process of diffusion occurred along
a cylindrical volume of value, ( Tid 2A/41 , where the diameter of the
cylinder was equivalent to the diameter of the penetrant, d, and A is the
length of the diffusional step. The activation energy of diffusion was
given by:-
E = (CED) . (ird2A/4) (3.5)
66
This predicted a linear relationship between E^ and d 2 . Van Amerongen
(103) however, showed that E^ was linearly related to d rather than
d 2 . The free volume theory prompted Kumins and Roteman (104,105) to relate
the semi-log f r e G volume element to the gas diameter; again linearity
was found. Brandt and Anysis (106) found that E^ was not directly
proportional to d 2 as suggested by Meares (44), but instead a small
2 o
positive intercept at d ^ 5 to 8A was observed. They asserted that
the intercept at the abscissa was related to the free distance between
chain molecular surfaces.
With the advent of the dual-mode sorption theory, numerous attempts have
been reported on the correlations of k , S , and b to T, , T and e/k. These D L b c
correlations followed along the same lines as k , the solubility coefficient
in rubbery polymers mentioned earlier. The overall solubility, S , a ij
composite quantity of no mini sorption and hole filling was found to-be
related to c/k through the integrated CIausius-Clapevron equation giving
lnS T = 0.026(~/k) - 1.68 AH + I at 25°C (3.6) L m
where AH^ is the heat of mixing and I a system constant. The validity
of equation (3.6) has been reported for the solution of inert gases in
poly(ethyleneterephthalate) (48), common atmospheric gases in poly(methyl
methacrylate) (82), and simple gases in poly(sulphones) (107).
The hole affinity constant, b, represents the ratio of the rate
constants for competing processes of adsorption and desorption in the
microvoids. Since r/k is a measure of the condensibility of a gas, or, more
generally, the propensity for gas-polymer interactions, a relation between
b and 7/k should be expected. Vieth, Tarn and Michaels (108) established
67
a relationship,
i In (c /c )
lnb = 0.026 ( r/k) + , , - I* (3.7) C H / C H
where I' is the system constant.
The agreement between experimental and theory was excellent. The
relationship suggests that the more condensible gases with a higher e/k
value, possess an inherently higher b value. Hence, the equilibrium
sorption isotherms of these gases would show marked deviations from
Henry's Law even at low pressures. Conversely, the least condensible
gases with a lower r/k value would have an extremely small b value and
the isotherms would therefore be linear over a protracted pressure range.
Similar results have also been reported by Koros, Chan and Paul (73).
c\ represents the hole saturation constant; assuming monolayer
coverage of the hole, c' was found to be inversely proportional to the H
surface area occupied by one sorbate gas molecule (108), viz.,
• - R T S 1 O ON c u "TO— • 7T (3.8) H N p A 2 a
The diffusion coefficients for hole and dissolved species were
correlated to the Leonard-Jones collision diameter (d-^j)• In the case
of D , a monotonic decrease with increasing gas diameter was found. D U H
however, also decreased with increasing size of penetrant but showed a
region.of inflection over which the diffusion coefficients was' independent
of djj.The authors (108) believed this to be indicative of some critical
dimension associated with the Langmuir nature of the polymer.
68
3.4. Transport in Heterogeneous Media.
In this section, an examination of the literature, pertaining to
the transport of gases and vapours in heterogeneous polymeric membranes
is presented. The subject matter in this review has been divided into
four general categories, namely: membranes containing inert fillers,
membranes containing active fillers , crystalline polymers and finally,
copolymer membranes. This demarcation is purely subjective and is
intended to reflect the general progression and understanding of the
subject over the years.
The transport of simple gases and vapours through rubber membranes
containing inert fillers have been studied by several workers. It was
found that a clear distinction between the " inert" and the " active"
filler was seldom recognised by many workers, with respect to possible
gas/filler interactions. As a result, the interpretation by many of the
earlier authors was found to be clouded, especially, when the ubiquitous
time lag method was used to evaluate the transport parameters.
In theory, the time-lag, 0, and the effective diffusion coefficient,
D^, is related by the expression:
D = / 2/66 (3.9)
where / is the thickness of the membrane containing the dispersion of
inert fillers. D^. is the diffusion coefficient of the filled rubber and
is related to D^, the diffusion coefficient of the corresponding unfilled
rubber by the simple expression,
(3.10)
69
where k is a structure factor and is a measure of the more tortuous path
taken by the probe molecule due to the presence of the filler.
Natural rubber containing up to 22% (by volume) of mineral and
carbon fillers was studied by van Amerongen (111). The transport
of simple gases at low activities was' described by a concentration
independent diffusion coefficient and the activation energies of
permeation were found to be independent of both filler composition
and type', indicative of transport being controlled by the continuous
phase only. Solubilities were determined by both the time lag method
and also by equilibrium sorption -studies. Differences were found between
the two methods and in a later review of the work (112), the apparent
anomalies were interpreted in terms of the poor adhesion at the inter-
face of the filler and the polymer.
An interesting aspect of the work by van Amerongen (111) was the
pronounced dependence of k on the geometric shape of the filler. It was
found that the lamella type fillers reduced the effective diffusion
coefficient by a larger proportion than the corresponding spherical filler.
Barrer and Chio (113) investigated the diffusion of n-butane in
a Santocel filled silicone rubber membrane, K was estimated from the
diffusion coefficients measured during the early time,from the time lag
and in steady state. In all three cases, the results were in good
agreement suggesting that the structure factor inhibiting the flow of
penetrant, was the same for both the steady state and the transient
state. However, in an earlier study, Barrer, Barrie and Rogers (114)
studied propane diffusion in a zinc oxide filled natural rubber. In this
case, quite definite differences were encountered between the steady
state diffusion coefficient and that measured from the time lag.
70
Kwei and Kumins (115) studied the sorption of organic vapours in
poly(vinyl. acetate) filled with an epoxv polymer. A decrease in the
solubility was interpreted in terms of reduced chain mobility in the
vicinity of the filler. In a later study (116), of the diffusion of
oxygen and argon in poly(vinyl acetate)filled with 12% titanium oxide,
diffusion coefficients measured for the filled rubber indicated a
reduction of over 70% compared witli the unfilled rubber. A detailed
discussion based on the reduction in the internal pressure and volume
of activation was presented. Their premise that the diffusion coefficient
may be derived directly from the time lag using equation (3.9) is
almost certainly incorrect since the adsorption of penetrant in the
fillers was not properly accounted for.
Polymers containing a dispersion of active fillers have been reported
extensively in the literature. In addition to increasing the effective
path length through the structure factor, k, the time lag is also
protracted due to the finite amount of penetrant adsorbed within the
fillers. If the equilibrium concentration of penetrant in the filler.is
assumed to be directly proportional to pressure (i.e., Henry's Law)
and a similar relationship is obeyed by the continuous rubber phase,
then the solution obtained by Frisch's procedure yields,
D f " S 5 [ 1 + ( k ) D / ( k ) c ] ( 3 " n )
where (k) and (k) are the Henry's Law solubility coefficients defined 1J v
per unit volume of the dispersed and continuous phases respectively.
Finger et al., (117) derived their expression for the influence
of Langmuir adsorption on the effective time lag and in the limit of
low activity (i.e., Henry's Law), their expression reduced to
71
(3.12)
where K' is the distribution coefficient of the penetrant between the
two phases.
Flynn and Roseman (118) and later Cooper (109,110) pointed out that
the expression derived by Finger was quantitatively incorrect and did not
reduce to the correct expression for the case of an inert filler. Flynn
et al., derived their expression by comparing the ratio of the concentration
gradients for the filled and the unfilled membranes. Their expression
is given by
They used their expression in the interpretation of the diffusion of
p-aminoacetophenone in a silica filled membrane. A cursive examination
of their results suggests that the fillers used behaved as highly
adsorbing fillers and the concentration of penetrant in the fillers
should thus be characterised by a Langmuir type isotherm, rather than
simple Henry's Law.
Most (119) studied the diffusion of p-aminobenzoate through silicone
rubber membranes containing up to 12.8% (by volume) of silica. Time
lags were reported to be increased by a factor of ^ compared with
the unfilled rubber, whilst the steady state permeabilities decreased
by 25%. The results again suggest that the fine dispersion of silica
were behaving as highly adsorbing fillers.
(3.13)
72
Higashide et al., (120) dispersed mica flakes in poly(methyl
methacrylate) sheets. Oxygen transport through the films indicated a
pronounced effect of the permeability on the pre-treatment -of the glass
flakes; the transport of oxygen in the unfilled membrane was, however,
not reported.
Paul and Kemp (121) measured the diffusion time lag for a silicone
rubber membrane containing a highly adsorptive molecular seive. Sorption
by the zeolite, was characterised by the classical Langmuir isotherm
and they were able to verify an earlier postulate by Paul (123). In a
later paper, the kinetics of sorption were reported (122). It was
demonstrated that for h e t e r o g e n e o u s systems in which the morphology was
simply defined, a single effective diffusion coefficient was applicable
for both the transient and steady state conditions, and any apparent
anomalies could be explained, provided the effect of the disperse phase
is properly accounted for.
The transport of low activity penetrants in crystalline polymers may
be interpreted using equation (3.11) with k^ = 0. Dissolution in the
crystalline regions is negligible and the diffusion coefficient is also
expected to be low; the crystallites may therefore be viewed as ideal
impermeable fillers. Van Amerongen (125) showed the effect of crystalli-
sation in gutta percha on the diffusion coefficient, solubility and
permeability.
Barrie and Piatt (126) studied the solubility of several isomeric
hydrocarbons in stretched rubbers. Th e permeabilities measured over a
duration of a hundred days indicated a slow monotonic decrease; part of
the reduction in the permeability was accounted for by a slow increase in
73
the degree of crystallinity, the remainder was attributed to partial
re-orientation and redistribution of the crystallites as the system
tended towards a more stable morphology.
Barrer and Chio (113) studied the diffusion of n-butane in a filled
silicone rubber above and below the crystallisation temperature. In the
absence of crystallinity diffusion coefficients measured from both the
time lag and the steady state were in close agreement however, at the
onset of crystallisation, the diffusion coefficients measured by the
two methods diverged. There is no apparent reason for this discrepancy
if dissolution in the crystalline regions is assumed to be a forbidden
process. It is thus possible that slow re-ordering of the crystals may
have introduced a form of general time dependence which was not accounted
for.
Crystallinity in polyethylene was studied in detail by Michaels and
Parker (127). The degree of crystallinity in the polymer was estimated
from the densities, assuming polyethylene to be a simple binary composite
of crystalline and amorphous materials', the solubilities were found to be
in direct proportion to the volume fraction of amorphous material.
Diffusion in the crystalline polymer was believed to be reduced by two
impedance factors, namely T and 3. T, the geometric impedance factor
accounted for the increased path length which the probe molecule must
take, in order to negotiate the crystallites and is analogous to -the
reciprocal of the detour ratio proposed by Klute (128). 3 was a chain
immobilisation factor and accounted for the reduction in the chain
segment mobility in the vicinity of the crystallites. The product, t3»
74
was estimated for several crystalline polyethylenes, by assuming the
equivalence between diffusion in vulcanised natural rubber with a
hypothetically, completely amorphous polyethylene. Separate values
of t and 3, could not, however, be measured directly since the mean
intercrystalline spacing was an indeterminant parameter.
Brown, Jenkins and Park (129) studied the diffusion of four volatile
liquids, namely dichloromethane, benzene, chloroform and 2,2,4-trimethyl-
pentane in amorphous and crystalline poly(butadiene). The onset of
crystallisation as a function of the trans- content in the 1,4-poly-
(butadiene) was manifested by a discontinuity in the solubility, and
a corresponding large increase in the concentration dependence of the
diffusion coefficient. The activation energy of diffusion, however,
remained invariant, suggesting that the predominant change was a structural
effect, whilst the basic mechanism for diffusion remained essentially
unaltered.
It is evident from the early parts of this review that diffusional
studies., in conjunction with an understanding of the transport phenomenon
has far reaching applications in the interpretation of polymer morphology.
In the remaining section, transport through copolymers with this concept
in mind, are reviewed.
Copolymers prepared by the method of grafting generally lead to
binary phase systems, provided high molecular weight branches are formed.
Munday (92) studied the transport of alkane vapours in a series of
polystyrene/ si 1icone rubber graft copolymers. Activation energies of
permeation were constant and equal in magnitude to that for silicone rubber
indicative of transport- controlled by the I'DMS phase. Further evidence
of two distinct components was provided by electron micrography and glass
transition temperature measurements.
75
In a series of papers by Huang et al., (131-135) the permeation
of several simple gases through polystyrene-polyethylene grafts were
reported. Grafting onto semi-crystalline polymers occurs mainly in
the amorphous regions, however, as the level of grafting increases,
the degree of crystallinity may be affected, due to disruption of the
crystallites. Huang reported that permeabilities decreased as the
polystyrene content increased, up to 30%, and beyond this composition,
the permeabilities began to increase sharply. They attributed the
initial reduction in permeability to the decrease in the free-volume
of the amorphous phase. It is difficult to understand why they chose
not to interpret the initial reduction in permeability by an increase
in the path length caused by the presence of the inert filler. The
subsequent increase in the permeability was felt to be caused by changes
in the amorphous-crystalline ratio.
Toi et al., (137) and Myers (136) also studied the effect of styrene
grafting on the diffusion and solubility of simple gases in high density
polyethylene. The results were consistent with the earlier study by
Huang et al., and supported the observation of the increased permeability
beyond 20% grafting.
Sorption and diffusion in asymmetric membranes was reported by
Rogers (138). Polymer sheets with a gradient of inhomogeniety were
prepared by initiating the grafting of vinyl monomers onto polyethylene
before complete equilibrium in the system was acheived. The difference
in the permeation constants evaluated from the steady state flow in the
unfilled and the graded membranes was demonstrated* when the grafted
regions acted simply as inert fillers, the rate of transport was depressed
without any significant trends as to directional effects. However, when
76
the penetrant showed preferential dissolution, or swelling characteristics,
in either phase, penetration rates showed significant directional effects.
In a later paper (139) a mathematical model was derived which expressed
a quantitative description of directional transport processes. Stannett
et al., (140) introduced inhomogeniety into styrene-2-vinylpyridene and
polyethylene-2-vinylpyridene grafted films. Graded films in this case
were prepared by a conformational gradient technique, induced by solvent
treatment and also by quatemisation of pyridene by chemical reaction with
methyl bromide; it \</as shown that under suitable conditions, vectored
flow could be introduced.
The transport properties of gases in block copolymers have only
recently been reported in the literature. Robeson et al., (142)
synthesised a series of poly(sulphone)/poly(dimethylsiloxane) block
copolymers, of the (AB)^ type, and studied both the physical and transport
properties of the system. A Maxwell (160) and Kerner (143) model of
spheres embedded in a continuous matrix was found to be an adequate
representation at the extremeties of the composition range. At intermediate
compositions, however, deviations from this model were apparent, and by
the use of a weighted Maxwell and Kerner model, phase separation was
estimated at 0.51 and 0.53 volume fraction of polvsulphone respectively.
Barnabeo et al., (144) studied the block and random copolymers of
styrene and methacrylonitrile. Semi-logarithmic plots of permeability
versus volume fraction were found to be sigmoidal in character for the
blocks but linear for the random copolymer.
77
Odani, Taira, Nemoto and Kurata (94) reported on the sorption and
diffusion of inert gases in styrene-butadiene-styrene block copolymers.
Morphologies corresponding to two general types was recognised! (i) poly-
styrene rods dispersed in a polybutadiene matrix and alternating
lamellas of styrene and butadiene components. Permeabilities of type
(i) were well characterised by the parallel model, viz.,
P = cjvPi + <{,2p2 (3.14)
but discrepanc i os wi lili this model were encountered with the lamella
type morphology and permeabilities calculated from the series model were
also in disagreement. However, the apparent incapability of the parallel
model to predict correctly the permeabilities of the lamella type system
was surmounted by introducing two additional parameters, namely t and 3
which have l>*»'en discussed earlier in relation to crystalline holymers.
Tn a later paper (1461 equilibrium solubilities were reported.
Ziegel (147) studied the transport of five gases in four thermo-
plastic polyurethanes, of varying hard and soft segments. A model
corresponding to the " hard segments" dispersed in random spatial
orientation of the soft-phase elastomer appeared to be consistent with
their transport results.
Williams (71) studied the transport of propane in a series of alternating
block copolymers of silicone rubber and poly(bisphenol-A-carbonate).
Incomplete microphase separation was suggested and was interpreted by a
novel adaptation of the Higuchi model combined with the Lichtenecker
Rule.
78
Polymer blends represent the final category of materials in this
review of transport through heterogeneous membranes. A study into
compatible polymer blends was made by Stallings et al., (149). Poly-
blends of polystyrene, (PS) and poly(phenyleneoxide), (PPO) at three
compositions were prepared by casting the polymers from a common solvent.
Evidence of compatibility was provided by the detection of a single
glass transition temperature which increases monotonically with the
composition of PPO. Diffusion coefficients of Ne, Ar, and Kr in these
membranes were measured by the time lag method,all of which showed
minima when plotted against composition. Incomplete phase separation
was discounted by the authors who preferred to visualise the anomaly in
terms of a redistribution of microvoid content in the polymer.
Polyblends were also examined by Ranby et al., (150-154). Five
systems were reported, all of which were based on poly(vinyl chloride).
In their first study, the effect of vinyl acetate in poly(ethylene-vinyl
acetate) on the physical blends with PVC were reported. The study was
extended to a critical examination of varying acrylonitrile content
in poly(acrylonitrile-butadiene) copolymer in a series of PVC/NBR
blends. In their penultimate report, the effect of chlorine content in a
series of chlorinated polyethylene on PVC/CPE blends was examined*, it was
found that compatibility was enhanced at increasing chlorine content.
Finally, blends of PVC and poly(acrylonitrile-butadiene-styrene) terpolymers
were characterised. A model in which a two phase system composed of a soft
butadiene phase and a rigid PVC/styrene-acrylonitrile phase was proposed.
It is unfortunate that the transport parameters were not obtained at more
than one temperature, since a means of estimating the activation energies
would reflect the correctness of their model.
79
A complete review of the chemistry of compatible polymers has
been presented elsewhere (148,130); the physical properties of these
systems are also available in standard texts (145). Furthermore,
proposals for future studies have been suggested by various investigators
(124,141) and it is hoped that these intended examinations will lead to
a greater understanding of the morphology of these systems.
3.5. Review of Heterogeneous Modej_.
Numerous theories related to the electrical and thermal properties
of heterogeneous media have been expounded. If the close analogy between
thermal and electrical transference with gas transport in heterogeneous
membranes is accepted, then the models which have been derived on the
basis of thermal conductivity and dielectric properties should be equally
applicable to the mass transport of gases in these systems.
The intention here, is not to delve into the mathematical derivations
of each model since adequate reviews on the subject are available else-
where (155,156). The validity of the models have been shown to be
correct (157,201) and it is felt that a brief resume^of the implicit
assumptions associated with each model would be of greater benefit.
The models which have been selected for discussion are confined to the
general type where a dispersed and continuous phase co-exist. (Laminates
and capillaries will not be included).
It was found that in some reviews of the subject that the discussions of
the models were not confined to the permeabilities. Instead, the
diffusion coefficient was used with the partition coefficient set to
unity. Throughout this section, the intensive property of the system is
the permeability since this is felt to be the more pertinent property.
80
In the following section, the notation adopted is given byl-
m The permeability of the composite media
The permeability of the continuous phase
The permeability of the dispersed phase
Volume fraction of the continuous phase
Volume fraction of the dispersed phase
One of the simplest, empirical models was first suggested by
Lichtenecker (158) and is given as follows.
- - V - ^D P = P . P (3.14a) m C D
The Lichtcnecker rule has been found most useful for compatible
polymer systems and also for copolymers in which the individual permeabilities
are within an order of magnitude of each other. Although the Lichtenecker
model has been criticised for its mathematical inexactitude (157), its
simplicity renders it extremely advantageous for quick approximative
calculations.
In 1891, Maxwell (160) derived his expression for a mixture of
spheres embedded in a continuum. At infinite dilution of the dispersed
phase, the permeability of the medium is given by
_ _ % + 2P - 24, (P - P ) P = P„. — — (3.15) m C
v ' P
D + 2 P
C :+V
pc - V
Implicit in the derivation was that the geometry of the dispersed
phase was spherical, with each sphere separated far enough from its nearest
neighbour in order to avoid any mutual perturbation of fluxes. It has
81
been found (157) that the Maxwell expression is valid for up to 10%
dispersion and a fair approximation at even 50%. The Maxwell expression
as given in equation (3.15) reduces to two limiting expressions when
the permeabilities of the two phases are vastly different from each
other.
Thus, when P » ? C D
2 (f> , P m = P • t - T (3.16)
c and when P^ » P^
_ 3-2* P ™ = V —T"^ ( 3 - 1 7 )
m C * c
Many of the models which ensued (159,168,161,169), were broadly,
extensions of the Maxwell model. As such, many of these models reduce
to equation (3.15) under the correct conditions.
Bruggeman (161) expanded on the Maxwell model in order to account
for the interactions of the fields caused by the presence of the dispersed
phase. Bruggeman !s model also assumes the disperse phase to comprise
a wide range of particle sizes and his expression is given by,
1 P r /P
* r = (3-18) (P D - P C)/(P D - P m )
The expression simplifies in the limit of P » P^, to give
3/2 P = v v m (, C (3.19)
and also in the limit P >> P D C
P = P p/(1 - A ) (3.20) M U D
82
The dispersed phase within polymeric systems normally comprises
particles of much the same size, or at most, the particles differ in
size by only an order of magnitude. Meredith and Tobias (162) modelled
this system and the permeability of a membrane representative of such
a structure is given by
(2 + 2 X O 2 + (2x - D<J>n P = P . — _ (3 21) *m V (2 - X f D ) ' 2 - (X + 1 H d
where
(P D/P r " 1)
X = _ _ (3.22) ( P D / P r + 2 )
Again, in the limit of P » P D
!m 8 ( 1 - y ( 2 - V
P c (4 + <frD) (4 - 4»d) (3.23)
and the limit of P R » P(1
5a ( 1 + v ( 2 + v - " (i - • ) ( 2 - y
c:
(3.24)
Lord Rayleigh (163) considered the specific case of identical spheres
arranged in a simple cubic lattice. He was able to extend Maxwell's equation
in this way to obtain
P m ( 2 P C * V / ( P C - V - 2 * P - g [ 3 ( P C - V P ( A P C + 3 P P ) ] C 0 / 3
Pc ( 2 P C + P D ) / ( P C ~ V + " a [ 3 ( * V . " P D ) P ( 4 P C + 3 P D ) ] ( j ) D 1 0 / 3
(3.25)
83
a Ts a system constant and was assigned the value of 1.65
by RayleighJ Runge (164) and de Vries (165) obtained values of 0.523
and 1.31 respectively. De Vries (166) also showed that the mode of
packing was an important factor and calculated values of a to be
0.129 and 0.752 for b.c.c. and f.c.c. packing respectively.
Botcher (16 7) derived his expression for ellipsoidal particles;
the expression for the more general case of spherical particles reduces
to!
pm " pr: " 3 P m V p n " p c ) / ( p u + 2 P J ( 3 " 2 6 )
The expression is unique in that the same equation is applicable even
if the roles of the dispersed phase and the continuous phase are inter-
changed.
Finally, Higuchi (168,169) considered a system composed of randomly
distributed uniform isotropic spheres. Each particle interacts with
the flux creating a perturbation flux of its own and a neighbouring
particle reacts to this perturbation to create an excess flux. The
expression is given by
_ (P + 2P - X) - *n(2P " 2P - x) P = P — - £ V - — ^ - (3.27)
" ( ? D + 2 k C " + V ^ C " + X )
where
X = k" <P d - P (,)2/(2P (, + P D ) (2.28)
84
The parameter k" involves the radial distribution function of
random spheres which is generally unknown. However, k" = 0.78 was
found to be a satisfactory representation for a large number of systems
if the particle shapes did not deviate too far from a spherical geometry,
In the limit where particle-particle interactions are absent, infinite
dilution is acheived and k" = 0. In this limit, equation (3.27) reduces
to the Maxwells expression as given in equation (3.15). Equation (3.27)
reduces to two limiting expressions when P » P^
3.22* P m = V 6 - 2.786 ( 3 ' 2 9 >
and when P » P U L»
85
CHAPTER FOUR
EXPERIMENTAL
4.1. Materials.
4.1.1. Poly([c.]-dimethyl si 1oxnne).
Sheets of nominally 1 mm thickness were supplied by Dow Corning Ltd.
The PDMS gum was press cured with 2,4-dichlorobenzoyl peroxide (1% by
weight) at 115°C for five hours and post cured at 200°C for four hours.
Samples of the desired dimensions were cut from the parent sheet and
refluxed with petroleum ether (40/60) in a soxhlet for 24 hours before
use. Outgassing was carried out in a vacuum dessicator connected to a
Morvac water pump.
4.1.2. Poly(methyl methacrylate) - sheet.
High molecular weight glassy beads of PMMA were obtained commercially,
from BDH Chemicals Ltd. A solution of PMMA in toluene (1% by weight)
was filtered through a millipore assembly and slowly poured onto a clean
mercury surface. Evaporation of the solvent took three days in a
covered Monax dish. Outgassing was acheived in a vacuum dessicator
connected to a high vacuum pumping system.
4.1.3. Poly (methyl mothacrvl ate) - Powder.
(i) Preparation of monomer.
Methyl methacrylate (30 cc) was purified by washing with sodium
hydroxide (3 x 10 cc) and extracted with distilled water. Drying was
effected over anhydrous calcium sulphate.
86
(ii) Preparation of polymer.
The technique employed was of a standard emulsion polymerisation
found in most texts (170). Distilled water (100 cc) was placed in
a 250 cc three-necked round-bottom flask, equipped with a thermometer,
addition funnel, stirrer-bar and condenser. Lauryl sulphate (0.3 g)
was added and the mixture, stirred and maintained at 85°C in a silicone
oil bath. To the solution, the purified monomer was added and allowed
to equilibriate to ambient temperature. Polymerisation was initiated
with hydrogen peroxide (10 cc) and stirred for a further 10 hours. The
mixture was filtered and washed with distilled water*, drying was
carried out at 110°C in a vacuum oven for 10 hours. The product showed
a tendency to coagulate into macro-particles although the physical
cohesion could be broken by gentle agitation.
The purity of the polymer was checked by IR and NMR spectroscopy.
The mean particle diameter was estimated from electron microscopy to
be 0.15 microns.
4.1.4. Poly([c.l.j-dimethylsiloxane-g-methyl methacrylate).
PDMS sheets and methyl, methacrylate monomer were prepared as
described in section 4.1.1. and 4.1.3(i). The PDMS sheet, usually of
about 1 g in weight rested on four silica discs (no. 3 porosity) at the
base of the grafting jar (Figure 4.1.) and outgassed for a minimum of 24
hours. Mothvl inethacrylatc monomer was degassed by employing several
" freeze-pump-thaw" cycles, and finally distilled under vacuum into
the grafting jar. The jar and its contents were cooled to liquid nitrogen
u
MMA fig, 4.1.
the grafting apparatus
• PDMS
88
temperature [to reduce the vapour pressure of the monomer (171) ] and
sealed under vacuum. A duration of 24 hours was allowed for the
equilibrium swelling of the PDMS sheet at an ambient temperature of
from a C o 6 0 generator operating at a nominal dose-rate of 1 Mrad/hour.
Samples were removed immediately from the jar and pumped under
vacuum to remove traces of unreacted monomer and low molecular weight
polymers. Higher molecular weight homopolymer was extracted with
either petroleum ether (40/60) or acetone by refluxing in a Soxhlet
for 48 hours. Grafting efficiencies of better than 70% were always
achieved. In the preparation of copolymers with grafting compositions
of greater than 40%, a two stage grafting procedure was employed. In
this case, the graft copolymer was re-swollen with monomer and the
grafting procedure repeated.
Composition of the graft copolymers were calculated from the
relative increase in weight of the PDMS sheet, i.e.,
where w^ and w^ are the initial and final weights of the sheet respectively.
It is often more convenient to refer to the composition in terms
of volume fraction rather than weight percentages. In this case
40°C, after which grafting was initiated with y r a d i a t i o n (1 Mrad)
w _ w . Composition (% by weight) , x = — x 100 (4.1)
Volume fraction of PMMA, (j) x/P»
(4.2) D x/Pi + CI 00 - x) /P z
where x is defined in equation (4.1) and Pi and P 2 are the densities
of PMMA and PDMS respectively.
89
4.1.5. Nomenclature of graft copolymers.
The notation adopted in this treatise to represent the composition
of the graft copolymers is self-explanatory, i.e.,
PDMS - g - 46.34% PMMA
indicates a graft copolymer of PMMA content (by weight) of 46.34%
calculated using equation (4.1). Due to the different post-irradiation
solvent treatments of the graft copolymers, the samples extracted
in acetone are further marked with an asterisk (*) , i.e.,
PDMS - g - 24.14% PMMA*
4.1.6. Penetrant vapour.
Methane and propane were supplied by Matheson Gas Products Ltd., in
the form of " lecture cylinders" . Glass bulbs were filled from these
cylinders by first evacuating the bulbs and subsequently withdrawing the
required amount of gas into the reservoir. Propane was then purified by
successive " freeze-pump-thaw" cycles. Methane due to its much higher
vapour pressure at liquid nitrogen temperature was used as received.
Ethane and iso-butane were supplied by the National Physical Laboratories.
The purity of the gas was 99.9 and 99.97 moles per cent respectively,
and was used as received.
90
4.2. Permeation.
4.2.1. The permeation hardware.
The permeation apparatus shown in Figure 4.2, was of the conventional
type designed by Bnrrer (9). The high vacuum side (T 6.- T X 1 ) and the
high pressure side (T 2 - Tr>) formed the two essential portions of the
apparatus. A diffusion cell (C), with the ensealed membrane separated
the two sides.
The vacuum line was serviced by a rotary oil-pump (Edward's ES 20)
which provided the backing vacuum for a mercury diffusion-pump. A cold
trap positioned between the pumping system and the rest of the line
formed an important protection against contamination by mercury vapour.
The high pressure side, conventionally referred to as the " upstream
side" comprised a gas reservoir (R), buffer volume (Vi) and a pressure
transducer (PT). The gas reservoir contained the charge of gas at a
pressure of about 60 cmHg (at normal temperature). A " cold finger"
attached to the side of the reservoir facilitated purification and
recovery of the penetrant. At regular intervals, the gas was frozen
into the side arm and the solidified vapour subsequently pumped to
remove any traces of air.
The buffer volume (V x) has a capacity of about 1000 cm 3 and was
requisite in maintaining the ingoing pressure constant during the course
of a permeation run. It was found that the eventual reduction in pressure
at the culmination of a permeation experiment was never more than 1% of
the total ingoing pressure.
To Vacuum Pump
V. PT
t 5
U t 2
FIG. q.2.
THE PERMEATION APPARATUS
92
The pressure transducer (PT) was of the strain—gauge type (model
4-327-0003, Bell and Howell Ltd.). A constant 10 volts (DC) was
applied to the transducer, and the output, in the range of 0 to 40
mvolts was monitored on a digital voltmeter (Excel XL35), which had
a resolution of 0.01 mvolts; a zeroing network enabled nullification
of the DVM at essentially zero pressure. The pressure-voltage relation-
ship was ascertained by calibration against a mercury manometer and
it was found that the output voltage was in direct proportion to the
pressure. Furthermore, the constant of proportionality remained
essentially invariant at 1.216 cmHg/mV over the three years.
The high vacuum side, also known as the " downstream side" consisted
of a buffer volume (V 2) and connections via Cajon couplings to the
Baratron head (MKS. Type 90H-3E). The capacity of the buffer volume
was chosen so as to maintain a discriminatingly small pressure when
compared with the upstream driving pressure; it was found that a half
litre bulb was sufficient to sustain a pressure of less than 1% compared
with the ingoing pressure.
The Baratron is a capacitance manometer with a full scale deflection
-4
of 3 mmHg and a resolution of 10 mmHg. Fundamentally, the design
comprises a metal diaphragm tensioned between two fixed sensor electrodes
maintained at a constant temperature of 50°C. The diaphragm deflects
when a pressure difference is applied across it, changing the capacitance
between the diaphragm and electrode. The change is sensed by a self-
balancing capacitance bridge, directly calibrated in pressure units.
Fig . 4 . 2 (a) . The permeation apparatus and PET microprocessor.
94
In later experiments a microprocessor controlled data acquisition
device was interfaced directly to the BCD output of the Baratron
for the purpose of continual monitoring of pressure,[Figure 4.2(a)].
The diffusion cell (C), also shown diagramatically in Figure 4.3,
was constructed from glass. A piece of copper gauze (CG) was sealed
into the lower section of the cell to form the support for the membrane.
In order to avoid seration of the membrane, a piece of filter paper
(Whatman No. 2) (F), was inserted between the gauze and membrane (ME).
The two halves of the cell were sealed to the membrane with a silicone
based adhesive (Silastic 732 RTV) (S), and left for 24 hours to cure.
Additional reinforcement was provided by an epoxy based sealant (A),
(Araldite Rapid, Ciba Geigy) circumscribing the exterior of the
cups. The assembled cell was then connected to the vacuum line by
butting onto the two glass limbs of the main vacuum line. A tall beaker
of mercury (M) surrounded the cell which formed both an effective seal and
also a good heat transfer medium. The assembly was enshrouded by a
tall copper cylinder and immersed in a constant temperature water bath
(W).
4.2.2. Permeation technique and measurement.
At the start of a series of studies, all the taps were open to the
pumping system and the membrane thoroughly outgassed. The pressure
decay was monitored using the Pirani Cauge, (P) (Edward's Pirani Type
Vacuum Gauge, Model C-5, C-2). Complete outgassing normally took two
to three days at ambient temperature.
95
96
Before the start of a permeation run, the desired bath temperature
was set using the mercury contact thermometer. The two, 200 W
immersion heaters, working in conjunction with a contact thermometer,
through a mercury relay, was capable of maintaining the temperature
to within 0.1°C. The diffusion cell was allowed to equilibrate for a
minimum of 48 hours at each new temperature setting.
Before each run, the leakage on the " downstream side" was
monitored by closing taps T 7 and T i 0 , wibh the remaining taps still
open to the pumping system. A leak-rate of less than j % of the total
expected flow-rate was considered to be tolerable. At the start of
the run, taps T 2 and Tz, were closed, and a charge of gas admitted from
the reservoir (R) into the buffer volume (Vi); the pressure of gas was
pre-adjusted according to the output on the digital voltmeter. Taps
T 5 , T 7 and T x o were then shut, Tz, opened smartly and the starting time
(t = 0) was noted. The output on the Baratron was followed as a function
of time, and readings were acquired at regular time intervals in both
the steady and transient state.
At the end of a run, the propane was frozen back into the gas
reservoir, first from the downstream side, then followed by the upstream
side. Subsequently, the membrane was outgassed for a minimum period of
ten-times the estimated time lag before proceeding with the next run.
A sample calculation of the results is presented in the Appendix.
= = = T 1
To Vacuum Pump R
PT
CW
WB
98
4.3. Sorption.
4.3.1. The sorption hardware.
The vacuum line and the balance assembly is shown schematically in
Figure 4.4. The pumping system, gas reservoir (R) , Pirani Gauge (P),
and the pressure transducer (PT) were in essence, similar in construction
to those described in Section 4.2.
The balance (Sartorius Electronic Microbalance 4102) operates on
the principle of automatic torque compensation, of which the important
features of the beam and the coils are shown in Figure 4.5. The balance
was mounted on wall brackets in an enclosed cabinet for the purpose of
zero-point stability and temperature constancy. The tabular quartz
beam (B) is always maintained in a null position, and as soon as the
beam is displaced from the horizontal, an error signal is induced in
the rotating coil (RC) from the oscillator coils (OC). This is an
analogue AC voltage of which the amplitude and phase are functions of
the load. The error signal is rectified and regulated in the amplifier
and finally fed back into the coil to provide the counter-torque.
At the extremes of the beam, two aluminium stirrups rest on diamond
pins; platinum hangdown wires were attached to the underside of these
stirrups, onto which the sample (S) and counter-weight (CW) were affixed.
Two Pyrex hangdown tubes, which were coated on the internal surface with
stannous oxide were connected to steel cones with silicone grease to
complete the vacuum seal.
The length of the hangdown tubes were immersed in a water bath (WB)
and temperature control was provided by a Churchill thermocirculator.
Above ambient temperature, a conventional " Churchill" was employed!
100
below this, the refridgerator model, primed with " Blucol" antifreeze
was used. In both cases, the temperature could be controlled to
within 0.2°C of the desired. Air temperature was maintained with three,
500W strip—heating elements (]{) (Bray Chromalox^ which could be operated
independently. A mercury contact thermometer operating in series with
an electronic relay (Gallenkamp, FFP-700-C) was used as control.
Two fans (Fi, F 2 ) were mounted at right angles to each other provided
adequate air circulation.
A.3.2. Sorption technique and measurement.
The sample (S) was first weighed in air then suspended from the
right hand hangdown wire. A target weight of approximately 0.3 g was
normally found to be adequate for the study. With the poly(methyl
methacrvl ate) sheet, it was necessary to coil the sheet around copper
spacers in order to attain a sufficient weight of sample. In the case
of the powder, a thin silica bucket was specially constructed and a
piece of aluminium foil was used as a lid preventing agitation of the
powder from the sudden in-rush of gas. A copper counter-weight was
suspended from the left-hand hangdown wire.
The system was evacuated and allowed to attain thermal equilibrium.
It was found that a steady drift in the zero point of the balance was
observed if the air and bath temperatures were not correctly matched.
Also, this phenomenon was accentuated with samples of larger surface
areas. In all cases, however, the drift could be almost eliminated by
regulating the temperature gradient between the bath and the surrounding
enclosure. It must he emphasised that any attempt to eradicate drifting
was only made when the sample was believed to be completely outgassed;
otherwise this may lead to erroneous results.
101
The leak rate into the system was measured by closing T 2 and
monitoring the accumulation in pressure using the Pirani Cauge (P).
When a vacuum of less than 10 3 mmHg was acheived, tap T 2 was closed
and a charge of gas admitted into the balance chamber. The weight
gain as a function of time was registered on a x-t pen recorder
(Bryans 28000) and the pressure was measured on a pressure transducer
(Bell and Howell 4-327-0003). Equilibrium was reached when no further
increase in weight was observed over a protracted period. At this point,
the gas was either frozen back into the gas reservoir, or alternatively,
a further charge of gas admitted into the chamber and another equilibrium
sorption measured. The latter, interval sorption technique, was normally
preferred for the purpose of economy of time. A sample caclulation is
presented in the Appendix.
102
CHAPTER FIVE
PHYSICAL PROPERTIES OF THE POLYMERS.
5.1. Introduction.
Some fundamental physical properties of the graft copolymers are
presented in this chapter! these include the glass transition temperatures,
densities, dynamic moduli and stereotacticities. Also included are
some selected electron micrographs which illustrate the distribution
of the dispersed phase in the graft copolymers.
The examination of the physical properties of copolymers forms a
major pre-requisite to the study of gas diffusion, especially if the
intention of the study is an examination of the polymer morphology.
For example, glass transition temperatures indicate whether complete
phase separation is present; two distinct T s in a binary graft
demonstrate the clear presence of two independent phases. Density
measurements may also demonstrate the compatibility of the components
which constitute the copolymer system. In the simplest case, a linear
relationship between the density and volume fraction should exist
(assuming additivity of volume). Deviations from this, have been
interpreted by other investigators as an indication of mixing (71),
and anomalies at interfacial phase boundaries (114, 133).
A cursive study on the effect of grafting and the subsequent post-
irradiation solvent treatment on the physical properties of the copolymers
was undertaken. It was found that the graft copolymers which were
extracted in petroleum ether were more pliable than the corresponding
103
acetone extracted samples. In order to demonstrate this quantitatively,
the elastic moduli of the samples are presented; it was beyond the
scope of the present study to examine the results in terms of standard
models, though this does not inhibit in any way the appreciation of
the differences between the petroleum ether and acetone extracted samples.
5.1.1. Glass transition temperatures.
Glass transition temperatures were measured by both differential
scanning calorimetry and mechanical loss. The former results were
obtained on a DuPont 990 Thermal Analyser, operating at a heating rate
of 10°C/min and are tabulated in colums 2 and 3 of Table 5.1. Dynamic
mechanical testing was performed on a Toyo Baldwin Rheovibron and
the results are presented in columns A and 5 of the same table.
The presence of separated phases in the graft copolymers was
manifested by two discernible glass transition temperatures, corresponding
to PDMS (-126°C) and PMMA (120°C) as measured by DSC. The higher
values, of approximately 20 centigrade degrees across the board, as
determined by dynamic mechanical measurements are a consequence of
the higher operating frequency of 11 Hz.
The scatter in the values of the T^ corresponding to the PMMA phase
as measured by DSC is felt to be a reflection of the accuracy of the
technique rather than any true measure of mixing between the phases.
It was found that even at the highest percentage of grafting, the
magnitude of the measured signal corresponding to the dispersed phase
104
TABLE 5.1. Glass Transition Temperatures (°C).
SAMPLE DSC RIIEOVIBRON
T T T T E g g I
(low) (high) (low) (high)
PDMS -126 -114
PDMS-•g-10.35% PMMA -124 100-200 -113 -
PDMS-•g-24.14% PMMA* -124 105-110 -114 -
PDMS- g-30.47% PMMA -124 103-114 -113 142
PDMS-•g-32.28% PMMA* -121 105-110 -111 144
PDMS--g-39.76% PMMA -125 105-120 -113 144
PDMS--g-46.34% PMMA -124 105-115 -114 138
PDMS-•g-51.46% PMMA -124 105-115 -116 141
PMMA (Sheet) 107-119 130
PMMA (Powder) 119 -
TABLE 5.2. Stereotacticities of PMMA
Method of Preparation 1% H% S%
y-Radiation 6 30 64
Emulsion Polymerisation 8 33 60
Commercial 12 30 58
105
was considerably smaller than that of the continuous phase, when it
would be intuitively expected that the signals be at least comparable
in size. This made the measurements of the graft copolymers at lower
PMMA content difficult, and the interpretation of the thermograms are
likely to be subject to larger uncertainties. Dynamic mechanical
testing did not appear to suffer from this limitation, though severe
softening of the sample at high temperatures, did not allow for
easy testing.
5.1.2. Densities.
The relative densities of PDMS and the graft copolymers were
measured by the method of water displacement; the accuracy of the
results is within 1 part in 1000. The density of the pure PMMA was
calculated from the absolute weight of a uniform sheet of pre-determined
cross-sectional area and thickness. The results are illustrated in
Figure 5.1.
5.1.3. Dynamic mechanical testing.
The Toyo-Baldwin Rheovibron was also used to determine the dynamic
modulus (G 1) of the graft copolymers and PDMS at 25°C. The value of
G' was estimated from the expression
2L 9 G' = rrr-r . cos 6. 10 Dynes/cm 2 (5.1)
t Un
where L is the length of the sample
F the amplitude factor
/[ the c r o s s - s e c t i o n a l area
D the dynamic force «
and 6 the phase lag
1.18
1.18 4-
1.14 4-
1.12 4-
- ^ I . i o 4-o
i i
so
CO 1.08 4-s 0)
1.04
1.02 4-
1.00
.08
* Extraction in Petroleum Ether
Y Extraction in Acetone
.0 .1 .2 .3 .4
Volume Fraction PMMA
FIG 5.1 DENSITY OF GRAFT C O P O L Y M E R S
107
9.20 +
8.90 +
8.60 4-
O ^qe.so
^ 8 . 0 0
O *
o I g 7 . 7 0
7.40 +
7.10 +
6.80 -f
MOONEY ( K = 1 )
MOONEY ( K = 2 ) t
SMALL^OOD AND GU
/ y
/ v
/ EINSTEIN
t /x
H
- . 0 .1 .3 .4 .5 .6 .7
Volume Fraction PMMA
FIG 5.2 ELASTIC MODULI OF GRAFT COPOLYMERS
108
The results are presented in Figure 5.2 and the included curves
were derived from some standard models of moduli vs. volume fraction
relationships (172).
5.1.4. Thickness of the graft copolymers.
The absolute thickness of the samples was . measured using a
standard micrometer (Moore and Wright) reading to 1 part in 100.
A total of 10 measurements were determined at random positions
across the sheet and statistically averaged', the variance was never
more than 1%.
5.1.5. Stereotacticities of PMMA samples.
The stereogularity of PMMA prepared by emulsion polymerisation,
y-radiation and the commercially obtained was checked by nuclear
magnetic resonance (Bruker 250 MHz High Resolution NMR Spectrometer).
The ratios of the Isotactic (I): Syndiotactic (S): Heterotactic (H) content
were estimated from the relative intensities of the interacting diads
(173, 188).
The grafted PMMA was prepared for NMR analysis by exhaustive
extraction in chloroform. It was found that prolonged exposure (100
hours) of the graft copolymer to hot chloroform caused severe swelling
and eventual rupture of the crosslinking. The bulk of the chloroform
was removed under vacuum and finally the PMMA was precipitated in 10
fold of methanol. The results of the diad analysis are presented in
Table 5.2.
109
5.1.6. Electron Microscopy.
o
Thin sections 800A) of the graft copolymer were prepared by
ultra-microtoming at -140°C. Specimens were cut from both the
longitudinal (L/S) and cross sectional (C/S) directions, and examined
on a Joel JEM-100B electron microscope
The electron micrographs are presented in Figures 5.4(a)-(d).
The contrast in the electron micrographs is a result of the scattering
of electrons by the heavier Si atom in PDMS; the lighter regions
correspond to PMMA.
5.2. DISCUSSION.
The grafting of vinyl monomers onto preformed rubber matrices, by
the method of y-radiation has been examined on many occasions (174).
In particular, methyl methacrylate and styrene have been studied more
extensively (175-179) primarily because of their fundamental importance
in industry.
Alexander, Charlesby and Ross (180), found that under high energy
radiation, PMMA degrades. A similar observation was reported by
Thompson (181). Gardner and Toosi (182) found that changes in the
refractive index and density were induced in PMMA when the polymer was
subjected to radiation influences. As a consequence of this, only
the minimal dosage was used in the preparation of the present series
of graft copolymers. A similiar procedure was adopted by Barrie and
Rogers (183) in their pioneering work on PDMS - g - PMMA graft
copolymers.
110
Since much of the literature on graft copolymers concentrated
on the effects of radi.-ition dosage on grafting, it was felt to be
more informative to study one aspect of post irradiation. . treatment.
The systematic study of solvent extraction was chosen, and altogether,
nine solvents were examined. The results are summarised briefly in
Table 5.3.
TABLE 5.3. Summary of solvent extraction on graft copolymers.
Solvent e b.p. Comments
PET ETHER/40'. 60 1.8 69 No effect
xylene 2.0 138 very slight toughening
benzene 2.3 80 slight whitening
toluene 2.4 111 slight whitening
chloroform 4.8 61 severe swelling
ethyl acetate 6.0 77 severe swelling
MEK 18.5 80 toughening
acetone 20.7 56 severe toughening
It was found that the solvents used in the extraction process
induced interesting morphological changes in the samples'. In Table
5.3, columns 2 and 3 list the relative dielectric constants (e) and
the boiling points (b.p.) of the solvents used respectively, and column
4 summarises briefly the effect of the solvent treatment on the samples.
Ill
Two of the solvents at the extremes of Table 5.3, namely acetone and
petroleum ether, were selected for a more rigorous study. These two
solvents were the complete antithesis of each other, with respect to
their solvation and swelling powers for the individual phases
comprising the graft copolymer. Petroleum ether was found to be a
good solvent for the silicone rubber, but a virtual non-solvent for
PMMA. Acetone, however, is a powerful solvent for PMMA but a comparatively
weak solvent for PDMS.
One of the parameters which appeared to be affected significantly
was" the thicknesses of the graft copolymers. The post-irradiation
extraction in acetone tended to partially annul the isotropic swelling
which accompanied grafting, though extraction in petroleum had no
measurable effect. The results are presented diagramatically in Figure
5.3. The solid line represents the least-squares constrained fit of
the data for the petroleum extracted samples and is given by
A theoretical relationship between the relative increase in
6 £
thickness ( — a n d the volume fraction of dispersed phase based
on isotropic swelling is included below. Although the proof is
straightforward, it is nevertheless presented here for completeness.
6 t = 0.4 <f>. € D
(5.2)
Consider a cubic expansion from (V. = €3) to V = (€ + 6 0 f
3 (5.3)
112
Volume Fraction PMMA
FIG 5.3 RELATIVE THICKNESS OF GRAFT COPOLYMERS
113
The net increase in volume is simply
Sv = (V f - V±) = (/ + 6/) 3 - / 3 (5.4)
Taking the first term of the binomial expansion and dividing through
by v f gives
Sv 35/ V^ — ~F~ ( 5 ' 5 )
By defini tion
* = ^ (5.6) D V . K '
Hence,
-0.3* (5.7)
The theoretical prediction of = 0-3 is in good agreement
with the experimental value of 0.4 calculated from the petroleum ether
treated samples. Extraction in acetone tended to restrain the expansion
in the thickness of the sample, though whether this was compensated for
in the plane of the membrane was not directly verifiable.
The results of dynamic mechanical testing are shown schematically
in Figure 5.2. The dynamic moduli, G', were measured in the x-y plane
and were used without any further corrections. A discernible trend was
found amongst the petroleum ether extracted samples, with G' increasing
monotonically with increasing volume fraction of PMMA", the results also
appeared to agree well with the Mooney model. The values of G* for the
graft copol ymcrs extracted in acetone deviated from this simple relation-
ship and their greater stiffnesses • are reflected in their much larger
G' values.
114
The effect of temperature on the stereoregularity of PMMA prepared
by free radical polymerisation was first reported by Fox in 1956 (185).
Later studies (184,186) suggested that the syndiotactic form was the
more thermodynamically favoured configuration so the '.probability that
neighbouring asymmetric carbon atoms are in the syndiotactic placement
increases as the temperature of polymerisation is reduced. The present
results are in agreement with this.
The effects of solvent treatment in block copolymers have been
reviewed by Dawkins (187). A direct comparison between block copolymers
and the graft copolymers prepared in the current study, however, should,
be treated with caution. The silicone rubber which formed the elasto-
meric matrix was lightly crosslinked and pliase separation would therefore
be considered a forbidden process. However, it is still conceivable
that solvents which show preferential dissolution in either phase may
induce structural changes in the graft. Merret (189) discussed the
effect of benzene and hexane extraction on natural rubber grafted with
PMMA. The results suggested that benzene treatment extended the PMMA
chains, conferring to the graft copolymer a greater tensile strength;
hexane extraction produced a soft flabby material. Kantz and Huang
(132) also found that post irradiation solvent treatment on their
poly(ethylene-g-styrene) graft copolymers induced interesting morphological
changes; the films washed in methanol were found to be brittle, whilst
the benzene extracted films remained flexible. However, their process
appeared to be reversible, and flexibility of the embrittled samples
could be re-introduced by simply immersing in benzene. This was not
found with the present PDMS-g-PMMA copolymers.
Fig. 5.4(a): PDMS- g- 10.35% PMMA Fig. 5.4(b): PDMS- g- 51.45% PMMA
Fig . 5. 4 (c): PDMS- g- 24.14% PMMA (L/S) Fig. 5 • 4 (d) : P DMS- g - 2 4 . 1 4% PMMA ( C / S )
116
The tendency for discrepancies between the observed and predicted
values for the densities of heterogeneous polymers have been reported
on many occasions. It should be pointed out that close agreement
between theory and experiment depends greatly upon the accuracy in
determining the densities of the two pure components. The results
presented in Figure 5.1. suggest that although there is a tacit
agreement with a simple two phase model, the lower densities of the
acetone extracted samples cannot be ruled out completely.
These preliminary results tend to suggest that extraction of the
graft copolymers in petroleum ether retains the morphology in which the
PMMA exists as submicron sized spherical domains within a silicone rubber
continuum. Extraction in acetone appears to structure the copolymer
with some preferred orientation in the x-y plane. The precise nature
of the structuring is not obvious though a morphology corresponding
to the PMMA existing as.lamella type strands within PDMS is suggested
by the electron-micrographs. Crystallisation of the PMMA may be ruled
out since only stereoregular forms of PMMA show any evidence of
crystallinity*, the diad analysis for the PMMA extracted from the graft
copolymer suggest that although there are a large proportion of sydiotactic
diads, crystallisation is still unlikely.
117
CHAPTER SIX
RESULTS AND DISCUSSION! PDMS
6.1. Introducti on.
Poly(dimethylsiloxane), PDMS, is a synthetic elastomer and was
above its T at the temperatures investigated. The sorption and 8
diffusion of simple gases and vapours at low activities was expected
to be ideal with both Fick's equation of diffusion and Henry's Law
obeyed.
6.1.1. PDMS/Propane Equilibrium Sorption.
V
The equilibrium sorption isotherms for propane in a PDMS sheet
were measured at five temperatures in the range 30° to 50°C. The
isotherms as shown in Figure 6.1 were all linear from which the Henry's
Law solubility coefficients, k g , were determined by the method of least-
squares regression, constrained to intercept the origin. The values of k are tabulated in column 4 of Table 6.1.
s
The temperature dependence of k was found to be amenable to van't Hoff's
equation from which the heat of dissolution, AH^, was estimated to be
-16.9 kJ mol . The heat of dissolution in polymers may be interpreted
as a composite quantity comprising the heat of condensation of the
vapour (AH^) and the enthalpy of mixing between the sorbate and the polymer
( A H J , viz,
AHd = ahc + aHm (6.1)
117
CD UD
• 30.0 C
O 35.0 C
A 40.0 C
O 45.0 C
O 50.0 C
^ . 0 0 8.00 16.00 24.00 32.00 Pressure / (cm.Hg)
40.00
FIG 6.1
PDMS / PROPANE SORPTION ISOTHERMS
3.06 3.12 3.18 3.24 3.30 3.36 3.42
Temperature (1 /T)/10~3IC1
FIG 6.2 SILICONE RUBBER VAN'T HOFF PLOTS
120
The close agreement between AH^ found for the present system, and
AH = -20.2 kJ mol ^ for the heat of condensation of propane suggests u
that AH is almost negligible and therefore an absence of any significant M
gas-polymer interactions.
6.1.2. Permeabilities and diffusion coefficients.
The permeabilities of propane in PDMS were measured within the
temperature range 25° to 50°C using the high vacuum permeation technique
described in Section 4.2.1. The permeabilities, P, were found to be
largely independent of pressure, although slight deformation of the
membrane at elevated pressures caused apparent increases in P at all
the temperatures investigated. The values of P are tabulated in column
2 of Table 6.1.
The temperature dependence of P was analysed in terms of equation
(1.9) giving a good linear plot as depicted in Figure 6.3. The quasi-
activation energy of permeation was estimated from the gradient of the
best fit line to be -3.3 kJ mol
Due to the thinness of the sheet (^ 1 mm), the kinetics of sorption
were not attempted at any of the temperatures', the period for the half time
sorption was estimated to be only of the order of 1 minute at 30°C,
and the inherent errors were therefore expected to be severe. Diffusion
coefficients were however, measured by the " time-lag" method and also
from the coupled steady state permeabilities and equilibrium sorption
Isotherms. The background theory for these have been presented in
Sections 2.1.1 and 2.1.3. The diffusion coefficients in both cases were
found to be independent of concentration and are presented in columns
3 and 6 of Table 6.1. The time lag diffusion coefficients are denoted by
D . and the steady state diffusion coefficients are represented by D .
121
Temperature (1 /T)/1 O^KT1
FIG 6.3 SILICONE RUBBER TEMPERATURE DEPENDENCE OF P
122
Temperature (1/T)/10~3IC1
FIG 6.4 SILICONE RUBBER TEMPERATURE DEPENDENCE OF D
123
The diffusion coefficients estimated by the " time-lag" method
were found to be consistently lower than the corresponding steady state
diffusion coefficients. It is also interesting to note that the discrepancies
between each corresponding pair of diffusion coefficients are remarkably
constant at This would suggest that a systematic error was
operative rather than random experimental scatter. Barrer, Barrie and
Rogers (190) have discussed the possible errors involved due to the
" edge effect" for the transient state flow through a clamped membrane
of thickness, in a diffusion cell of effective radius, a. They
arrived at a critical value of //a £ 0.2 for the " edge effect" to be
safely neglected. The value of //a for the present study was estimated
to be 3/ 0.08 whi ch is considerably smaller than the value proposed by
Barrer et al. This would suggest that the " edge-effect" plays a more
important role than that first reported by Barrer, Barrie and Rogers.
Activation energies of diffusion were estimated from the standard
Arrhenius relationship given in equation (1.6). E^ was estimated for
both the D and D . values, and in both cases good linear plots were found s o
as shown in Figure 6.4. E^ was calculated to be 13.9 kJ mol ^ from D
D s and 13.8 kJ mol ^ from D^.
6.2. Review of PDMS/Propane Studies.
The study of the transport of propane in silicone rubber has been
reported on many occasions (71,92,191-193), and it was felt that a critical
collation of the present results with the results by these other investiga-
tors may prove informative. It should be noted that the method of
preparation of the PDMS sheet in eacli case was found to be similar, with
124
TABLE 6.1. Sorption.and Transport Parameters: Propane
o
a, E QJ H
PL, o j=L
Q
O Pl —' or.
e e .. u
oo
PL iH H O CO D,
L—' Mi Fl E (0 E Pu E
CJ CJ u ©
vO
25.0
30.0
35.0
40.0
45.0
50.0
7.64
7.40
7.26
7.04
6.96
6.92
6.07
6.60
7.26
7.81
8.55
9.36
0.101
0.090
0.0813
0.074
0.0668
0.126
0.112
0.099
0.089
0 . 0 8 0
0.074
7.33
8.07
8.66
9.35
10.42
E = -3.3 kJ mol
E = 1 3 . 9 kJ mol
AH d = 1 6 . 9 kJ mol
-1
-1
-1
with the exception of Ismail (191) (which contained 5% Varox antioxidant).
The literature results are tabulated in Table 6.2; the notation of 6 and
S to denote whether the time lag or steady state techniques respectively
were used in determining the transport parameters will be retained.
Although the solubilities are in good agreement amongst the various
investigators, the diffusion coefficients show a spread of 11% and the
permeabilities indicate a maximum variation of over 30%. The discrepancies
125
TABLE 6.2. PDMS/Propane Transport Parameters at 30 C.
QJ O Pe P o CO
bO EC B o
e 0 1 P-. o
Q
I
£ H O PL
to L w B B o o CD
/—N
PL rH H O CO PL to en N EC B B B u u CJ
CD
Expt.
Ismail
Munday
Webb
Alexopoulos
7.40
7.00
6.59
6.66
5.49
6.60
6.76
5.96
5.46
6.42
0.112
0.103
0.111
0.122
0.085
7. 33
6.34
0.101
0.104
in the diffusion coefficients are not felt to be significantly large and
may be attributed to subtle variations in the degree of crosslinking in
each of the samples. Barrer and Skirrow (90) and later Aitken and Barrer
(194) showed that the diffusion coefficients of gases in natural rubber
were reduced as the degree of crosslinking increased. It was believed
that the mobility of the polymer segments was hindered, through the
centres of crosslinking, impeding the free movement of the penetrant
molecule. It was further shown that the equilibrium solubilities were
largely unaffected and the permeability would therefore be expected to
decrease in the same manner as the diffusion coefficient. The present
results are however, at variance with this assertion since the spread
in the permeabilities is considerably larger than that found with the
diffusion coefficients.
126
TABLE 6.3. Activation Energies and Heats of Dissolution.
Source Ref. Ep/kJ mol" 1 E^/kJ mol 1 AH /kJ m o l " 1
D (E - E j / k J mol 1
P D
Expt. -3.3 13.9 -16.9 -17.2
Ismail 191 -3.3 13.3 -16.6
Webb 192 -1.4
Munday 92 -2.9 12.0 -17.0 -14.9
Alexopoulos 193 -3.9 12.9 -16.8
The activation energies of diffusion, E^, and permeation, Ep, together
with the heats of sorption, AH^ are given in Table 6.3. Ep and E^ were
found to be in excellent agreement despite the large disagreements found
in the actual values of P and D. Since both E p and E^ are only relative
quantities, any systematic errors accrued in the determination of membrane
thicknesses and" areas are likely to be eliminated through the mutual
cancellation of errors. The heats of sorption were also found to be in
excellent agreement and differed by no more than 4%.
6.3. PDMS/Ethane.
A cursory examination of the transport of ethane in a PDMS sheet was
conducted. It was felt that since the transport parameters for this
gas have never been reported,the results may be of some benefit for
future investigations. Furthermore, the transport of ethane in poly-
(methyl mothacryl ate) is reported later in this treatise, and a comparison
between the dissolution constants in the rubber and the glass may be of
some academic interest.
127
The permeability, P, diffusion coefficient D^, and solubility,
k , were determined using the high vacuum permeation technique. P, 6
D_ and kft were all independent of pressure as found with propane and 0 0
the results are summarised in Table 6.4.
The temperature dependences of D Q , P and k Q were determined using
equations (1.16), (1.19) and (1.17) respectively. These are also
illustrated in Figures 6.2, 6.3, and 6 . 4 , respectively.
TABLE 6.4. Sorption and Transport Parameters: Ethane.
Temp./
°C 1 0 7 - cm 3 (STP) cm
cm s cmHg 1 0 6 D Q / c m
2 s 1
b
25.0 4.08 9.93
30.0 4.09 10.77
35.0 4.10 11.57
40.0 4.12 12.60
45.0 4.13 13.53
50.0 4.16 14.67
k./• c m 3 (STP)
G cm 3 (polymer)cmHg
0.0411
0.0379
0.0354
0.0325
0.0304
0.0283
E p = -0.6 kJ m o l "1 , E d = 12.6 kJ m o l " 1 , A H p = -12.1 kJ mol 1
It is interesting to note that again, A H p , for ethane is in fairly
good agreement with the heat of condensation of the vapour (AH^, = -15.7).
It is also interesting to find the activation energies of diffusion for
both ethane and propane to be uncannily constant. This would indicate
that the mechanism for diffusion of these two penetrants in PDMS is similar
128
It may be inferred from this, that these elongated penetrants diffuse
through the polymer medium with their longitudinal axes oriented in
the direction of diffusion.
129
CHAPTER SEVEN
RESULTS AND DISCUSSION: PMMA
7.1. Introduction.
The sorption of four simple hydrocarbon vapours in poly(methyl
methacrylate) was studied in the temperature range of 1°C to 60°C. The
diffusion coefficients for the four paraffins at 30°C, spanned almost
a million fold, with methane the smallest of the penetrants exhibiting
- 1 0 • - 1 the largest diffusion coefficient of 6 x 10 cm 2s and iso-butane
-17 -1
the lowest at 4 x 10 cm 2s . In the case of propane and iso-butane,
the time for equilibrium sorption in a 30pm sheet was estimated to be
in the order of years. For this reason, sub-micron sized spheres were
prepared by the method of emulsion polymerisation, and in this way,
the effective " thickness" of the sample was reduced by several orders
of magnitude to bring the experimental times within tangible limits.
Within the temperature range studied, PMMA was well below its glass
transition temperature, and the dual-mode sorption phenomenon, usually
associated with glassy polymers was expected.
The results in this chapter are divided under general headings
corresponding to the various gases studied, namely, methane, ethane,
propane and iso-butane. In each section, the equilibrium and transient
state sorption results are presented and discussed in terms of dual-mode
sorption. Also included are some correlations which attempt to relate
the sorption and transport parameters of various penetrants in PMMA to
the fundamental properties of the gases and vapours.
130
7.1.1. PMMA/Methane.
The equilibrium sorption isotherms for methane in PMMA were measured
at three temperatures within the pressure range 0 to 40 cmHg. The
isotherms were linear as depicted in Figure 7.1, and according to the
dual-mode sorption theory, the effective solubility is given by
S L = c/p = k D + c^b (2.56)
The limiting solubility S T was computed by the method of least-squares li
regression, constrained to intercept the origin. Values of S^ are given
in column 2 of Table 7.1. The temperature dependence of S was obtained Lj
from the van't Hoff relationship as given in equation (2.68), and is also
illustrated in Figure 7.15. The limiting heat of sorption,(AH ) was j c— u
calculated to be -25.6 kJ mol
The limiting heat of sorption may be interpreted as a composite
quantity, comprising the heat of dissolution, AH^, and the energy
expended in the hole-filling process. The heat of dissolution, AH^,
is normally found to be comparable to AH , the heat of condensation
(in this case, AH = -8.9 kJ mol 1 for methane). Thus, the considerably VJ
more exothermic value of (AH ) for methane in PMMA suggests that the o c— u
main contribution is the energy associated with the hole-filling process.
It is also interesting to compare the present value of (AH C) for b c— u
methane in PMMA with the same gas in polystyrene (-18 kJ mol as given
by Munday (92). The two values are in fair agreement considering the
much greater errors associated with the latter since the isotherm was
obtained at two temperatures only.
131
oo
Pressure / (crruHg)
F I G 7 . 1
PMMA ( S H E E T ) / METHANE SORPTION ISOTHERMS
132
TABLE 7.1. Sorption and Diffusion Parameters: Methane.
Temp/ °C
1 Q 3 n j cm 3 (STP)
L cm 3 (polymer) cmHg 1 0 1 0 D/cm 2 s 1
30.0 4.4 5.8
35.0 3.8 7.5
40.0 3.2 10.8
(AH ) _ = -25.6 kJ mol 1 ; E^ = 49.2 kJ mol 1
S c = 0 D
The diffusion coefficients for methane in PMMA were determined
from sorption kinetics in the temperature range 30° to 40°C. No
apparent trend was found in the diffusion coefficients with respect
to concentration as shown in Figure 7.2 so the arithmetic mean of the
experimentally measured diffusion coefficients at each temperature were
calculated and tabulated in column 3 of Table 7.1.
According to the diffusion model for dual-mode sorption (26)
the diffusion coefficient in the limit of zero concentration is given
by the expression
( D ) c = 0 " W S L
Both k and S are independent of concentration and D is normally also IJ Lt L)
expected to be constant. The present results are therefore consistent
with this. The temperature dependence of (D) _ was obtained from the 0=0
133
11.4 4-
10.6 +
9.8 4-
co »» „ 9.0
o
^ 8.2 V-
o v-
7.4 4-
6.6 4-
5.8 +
40°C
35°C
30°C
5.0 1 1 1 i i i i l.
.03 .06 .09 j i i i l
.12 .15
Concentration C/(cc(stp)/cc(polymer)
FIG 7.2 PMMA/METHANE CONCENTRATION DEPENDENCE OF D
134
Arrhenius relationship given in equation (1.6) and is also illustrated
in Figure 7 . 1 6 ; ( E D ) c _ Q was estimated to be 49.2 kJ mol
7.1.2. PMMA/Ethane.
The sorption of ethane in PMMA was determined for both powder and
sheet. It was found that the equilibrium sorption isotherms for the
sheet weire linear whereas the powder isotherms were characteristic of
dual-mode sorption. Furthermore, the levels of sorption in the sheet
were significantly lower than the corresponding isotherms for the powder.
The isotherms which showed pronounced deviation from Henry's Law were
analysed in terms of the dual-mode expression using the method of non-
linear regression analysis suggested by Barrie et al. (68). The
rudiments of the techniques have been outlined previously and will not be
discussed further.
The equilibrium sorption isotherms are illustrated in Figures 7.3 and
7.4 for the sheet and powder samples respectively. The experimentally
determined solubilities are represented by the various symbols and the
'best-fit' curves are shown by the solid lines. The dashed line in
Figure 7.4 depicts the high pressure asymptote for the isotherm obtained
at the lowest temperature; it corresponds to the theoretical expression
given in equation (2.57). It is readily apparent that despite the
deceptive linearity of the isotherms at elevated pressures, the true
limiting condition in the region of high pressure was never completely
attained in the present study. This in fact illustrates one of the main
inadequacies of the graphical technique proposed by Vieth et al. (51)
which utilises the limiting high pressure gradient to estimate k .
135
Pressure / (crruHg)
fig 7.3
PMMA (SHEET) / ETHANE SORPTION ISOTHERMS
136
^ . 0 0 8.00 16.00 24.00 32.00 Pressure / (cm.Hg)
40.00 48.00
F I D 7 . 4
PMMA (POWDER) / ETHANE SORPTION ISOTHERMS
137
TABLE 7.2. Powder and Sheet Sorption Parameters*. Ethane.
SHEET POWDER
cj
a 6 (u h
1.0
10.0
20.0
30.0 0. 0180
35.0 0. 0150
40.0 0. 0121
50.0
toO EC G
PU RH H O to a. ^—' ^ PI PI
E E o u
T J
00 EC 6 o ^ ih o a
0.0384
0.0316
0.0227
0.0190
0.0172
-1 ,a—
- EC u
1.23
0.903
0.826
0.560
0. 392
toO ec 6 u
0.0879
0.0730
0.0455
0.0396
0 . 0 2 8 0
toO EC E O
S EH
RH H O CO P. v • S—'
PI PI E E O O
T J
0.147
0.0975
0.0603
0.0412
0.0282
0.0181
( A H g ) c = 0 = -31.4 kJ mol , (Ah > = -15.5 kJ mol "", (All ) = -21.1 kJ mol -1
( A H s ) c = 0 = -32.5 kJ mol -1
The sorption parameters which describe the isotherms are presented
in Table 7.2. It is interesting to note that the two temperatures, 30° C
and 40°C where the isotherms are available for both the sheet and powder,
the limiting solubility, S^, for the sheet is in close agreement with the
Henry's Law dissolution constant, k^, for the powder. It would appear that
the lower sorption encountered with the sheet is mainly at the expense of
the Langmuir component to the total sorption. It should be appreciated that
the Langmuir component associated with adsorption in mic.rovoids is
not a fixed propertv of the polymer and is strongly dependent upon the
138
prior history of the sample. It has been demonstrated that the
Langmuir component may be reduced by annealing the polymer (70,75)
and increased through dilatometric sorption (78) using gases such as
C0 2 at elevated pressures. However, the complete abscence of micro-
voids in glassy polymers under normal conditions has never yet
been reported.
The noticeable discrepancies between the equilibrium sorption in
polymer powder and sheet have been discussed by various investigators.
Clearly, the specific surface area of the powder is greater than the
corresponding sample in sheet form. Nevertheless, the increased sorption
found with powders cannot be altogether accounted for in terms of surface
sorption effects alone. Allen et al. (79) found that the sorption of
C0 2 in poly(acrylonitrile) powder was considerably larger than the
sorption in PAN sheet. Munday (92) also found pronounced differences
between propane sorption in polystyrene sheet and powder sample and the
present results are therefore consistent with these earlier findings.
However, it is proposed here that the complete absence of the Langmuir
component to the sorption in the sheet is due to the presence of residual
casting solvent in this membrane. The PMMA sheet was prepared by the
conventional casting techniques using toluene as the solvent. It is
now realised that the diffusion coefficient of this solvent at low
activities is expected to be small ( ^ 1 0 cm 2/s at 30°C) and it is
conceivable that within the time scale of the study, complete removal
of toluene from the sheet may not have been fully effected.
139
Anomalies associated with residual casting solvent in polymer
sheets have been discussed by Koros et al. (83,196). It was shown
that the presence of trace solvent with a high affinity constant, b,
(as would be expected for toluene in PMMA) affects the Langmuir mode
to the total sorption, with the Henry's Law component, remaining
essentially unchanged. Some independent studies were performed in
relation to the present system in which trace quantitites of toluene
were introduced into the powder sample in an attempt to simulate the
conditions found with the sheet. A more detailed discussion of this
is presented in the latter portion of this chapter.
The temperature dependence of k , b and S were evaluated from the
i) l standard van't Hoff expression given in equations (2.61), (2.62), and
(2.68) and are also presented in Figures 7.13 to 7.15 inclusive. The
values of Ah^, Ah.. and (aH ) are presented at the foot of table D H B C —(J
7.2.
There is no simple relationship which exists between AH , AH and D H
(AHg) c_Q due to the pronounced temperature dependence of c R . However,
if c' is assumed to be invariant with temperature, the partial differential H
of equation (2.56) yields simply
^ V c - o = W ^ d + c h b / s l - n i ( 7 - »
It was found in the present study that the magnitudes of k R and the
composite quantity, » a r e almost comparable, whence
( A H S ) C = Q <\, (AH D + AH r)/2 (7.2)
140
It is evident from equation (7.2) that s ^ 0 1 1 ^ between
the limits of A H p and AH^, however, it is normally found that (AHg) c_g
is considerably more exothermic than either AH or AH and this indicates D H
the strong dependence of c' on temperature. H
Diffusion coefficients were measured for both the sheet and powder
by the method of sorption kinetics. In both cases the sorption processes
were well represented by a diffusion coefficient which was largely
independent of concentration as illustrated in Figures 7.5 and 7.6. The
inherent errors in the diffusion coefficients for both samples are likely
to be significant due to the enormously long times encountered with the
sheet (3 2 days for equilibration at 30°C) and at the other extreme,
the dimunitively small times found with the powders (3 1 minute for
equilibration at 30°C). However, in both cases, more accurate kinetics
are expected, when the time scale for equilibration occurs within
reasonable limits.
The diffusion coefficients are presented in Table 7.3 and represent
arithmetical averages of the experimentally measured diffusion coefficients
over the concentration range examined. The Arrhenius plots of the
diffusion coefficients are illustrated in Figure 7.16 and the activation
energies for diffusion are included at the foot of Table 7.3.
It is readily apparent that there are striking differences between
the two samples with respect to the diffusion coefficients and also the
activation energies for diffusion. Tt is unlikely that the errors
mentioned earlier in relation to the times for equilibration could affect
the diffusion coefficients to such a large extent. Tt is believed that
the discrepancies are again due to the presence of residual solvent in
141
7.4 4-
6.6
5.8 4-
co * . 5.0 4-
+ o
3.4 4-
2.6 4-
1.8
1.0 .0 .1
h h
40°C
35°C
30°C
.3 .4 .5
Concentration /(cc(stp/oc(polymer))
FIG 7.5 PMMA (SHEET)/ETHANE CONCENTRATION DEPENDENCE OF D
142
14.5
13.5 - - 30°C
12.5 - -
11.5 - • •
10.5 —
9.5 - -
co * > 8.5 4-
o
7.5 - -
O 6.5 - -
5.5 - -
4.5 —
3.5 - -
20°C
2.5 — 10°C
1.5 - -
£ 1°C
- . 0 0 .30 .60 .90 1.20 1.50 1.80
Cone entration/(cc(stp)/cc(po lymer) )
FIG 7.6 PMMA (POWDER)/ETHANE CONCENTRATION DEPENDENCE OF D
143
TABLE 7.3. Powder and Sheet Diffusion Parameters: Ethane.
SHEET POWDER
Temp./ °C
1 0 1 1 D/cm 2 s 1 1 0 U D/cm 3 s 1
1.0 0.9(9)
10.0 2.2
20.0 4.8
30.0 2.2 12.9
35.0 3.3
40.0 6.1
( V c = o = 8 1 k J m o l _ 1 ( V c = o = 5 7 k J m o 1 1
the s h e e t c a u s i n g a " plasticisation" effect." A more detailed account is
presented in the latter part of this chapter.
7.1.3. PMMA/Propane.
The sorption of propane in PMMA powder was studied at five temperatures
in the range 20°C to 60°C inclusive at 10°C intervals. The isotherms
were all concave to the abscissa, characteristic of dual-mode sorption
normally found with other glassy polymers and are illustrated in
Figure 7.7. The significance of the dashed and solid lines have already
been mentioned in relation to the sorption isotherms for ethane and will
not be discussed further; suffice to say that the agreement between theory
and experiment is good. The best-fit parameters k , r' and b together D H
with the derived quantity, S , are tabulated in Table 7.4. It should be
144
o CO
CO
o CsJ
• 2 0 . 0 C
O 3 0 . 0 C
^ . 0 0 8.00 16.00 2 4 - 0 0 3 2 . 0 0
Pressure / (crruHg) 4 0 . 0 0 4 8 . 0 0
F I O 7 . 7
PMMA (POWDER) / PROPANE SORPTION ISOTHERMS
145
appreciated that the sorption isotherm at 60°C showed only slight
curvature and the " best fit" parameters are susceptible to larger
errors. The derived quantity, S , however, is less prone to analytical li
errors since the two parameters and b occur as a product and the
inherent inaccuracies are likely to be eliminated through the mutual
cancellation of errors.
The temperature dependences of k , b and S are presented in Figures D L
7.13 to 7.15. Good linear plots allowed AH_, AH„ and (AH_) _ to be D H b c=U
measured with accuracy from the van't Hoff expressions given in equations
(2.61), (2.62) and (2.68). Since the dual-mode sorption parameters
at 60°C were felt to be less accurate, they were not utilised in the
analysis of the various heats of sorption.
TABLE 7.4. Dual-Mode Sorption Parameters: Propane.
u
(X n qj h
20.0
30.0
40.0
50.0
60.0
bO X 6 o
pl h co
E u q
0.053,
0.046, i
0.328
0.025,
0.027,
pl h co
- pa u
1.000
0.699
0.548
0.523
0.111
A H p = -19.9 kJ mol -1
b0
1 o x>
0.196
0.200
0.125
0.081
0.176
bO pc E o
pl h co
0.249
0.187
0.101
0.068
0.049
= -35.2 kJ mol -1
AH„ = -24.0 kJ mol H
-1.
7.0
6.0 +
146
t o—4.00 o - U O o"3J00 o-2js0
o-ZOO
o-1jj0
o—1.00
© p l
e
3.0 o~0J»
o-cl23
o-Q.10
e-a06
-1.0 4-
-2.0 2.9 3.0 3.1 3.2 3.3 3.4
Temperature (1 /T)/10"3K~1
FIG 7.8 PMMA (POWDER) / PROPANE ALTERNATIVE SORPTION ISOTHERMS
147
The overall heat of sorption, AH^, is concentration dependent, and
was thus derived from the Clausius-Clapyeron expression given in
equation (2.65). Graphs of vs. at constant concentrations were
constructed from which AH was determined. Typical plots are presented d
J
in Figure 7.8 for eleven concentrations', all the curves indicate a
break in the temperature range 20°C to 30°C. The main feature of
Figure 7.8 indicates that the isochores over the entire temperature range
of 20°C to 60°C cannot be represented by a single straight line, and
furthermore, if the isochores in the high temperature region were
extended to below 30°C, it would suggest an increase in the sorptive
capacity of the polymer in this latter temperature region. A second
order 3 transition has been reported for PMMA in this temperature range
(206) and has been assigned to the motion of the methacrylate side-group.
It is conceivable that below this temperature, the " freezing out" of
the motion of this pendant group creates additional microvoids within
the polymer leading to a proportionally larger microvoid component to
the sorption.
The overall heat of sorption may also be estimated from the analytical
expressions given in equation (2.65) and (2.66). (AH„) as a function of S c
concentration was generated in this manner for both ethane and propane
using the parameters of k^, c. and b as given in Tables 7.2 and 7.4 and
are illustrated in Figure 7.9. Also included in Figure 7.9 is the overall
heat of sorption for methane in PMMA.
It is interesting to note that AH^ for the least condensible of the
three gases, CHi,, shows no concentration dependence, but the magnitude
of the variation with concentration increases in the order CHz. < C 2 H 6 < C 3 H 8 .
148
Cone / cc(stp)/cc(poly)
FIG 7.9 HEATS OF SORPTION FOR PMMA
149
Furthermore, with propane, a small mimimum is observed which is in
common with other investigations (68,70,71,92). The significance of
the minimum is still unclear, although it has been shown that the
apparent temperature dependence of cl may be a contributing factor.
The diffusion coefficients of propane in PMMA were measured from
sorption kinetics using the powder sample only. Attempts to study
kinetics for the plane sheet were not successful owing to the low
diffusion coefficients which extended the time scale of
/ T well
beyond the range of practical limits.
The experimentally measured diffusion coefficients, D, were found
to be a weak function of concentration and are presented in Figures
7.10(a) and 7.10(b), as the solid symbols. According to the dual-mode
sorption theory, D may be expressed in analytical form as follows.
k pD c
d = , t—lu u n = — • k (2.81) D P C H b P / ( 1 + b p ) c 0
The value of D^, which represents the diffusion coefficient of the
dissolved species was estimated from each D using the appropriate values
of k , C', b and p. D was found to be largely independent of concentration d h d
which lends support to the total immobilisation model. Values of D^ and
(D) ^ are tabulated in Table 7.5. c=0
The theoretical variation of D with concentration is also illustrated
in Figures 7.10(a) and 7.10(b) as the solid curves. Again, the close
correspondance with the total immobilisation model may be inferred by the
close agreement between the experimental D and the theoretical expression.
150
Concentration/( cc(stp )/cc(polymer))
FIG 7.10(a) PMMA (POWDER) / PROPANE _ CONCENTRATION DEPENDENCE OF D
151
Concentration/( cc(stp)/cc(polymer))
FIG 7.10(b) PMMA (POWDER) / PROPANE CONCENTRATION DEPENDENCE OF D
152
The experimental results were also analysed in terms of the
partial immobilisation model. The theoretical expression in this
case is given by
D = (D d - D )X + D h (7.3)
where X is an integral function and is given by
X = rc r [ cr ^ p - k D ( r - l )
c r ° r-2
c P dc ] (7.4)
A plot of D vs X is then linear, with a gradient (D - D ) and intercept d h
D . In the limit r = 1, equation 7.4 reduces to the simple h
expression
- p d n d h c h b c d D • - t ' [ k D - c"d % - v + °H ( 7 ' 5 )
Plots of D vs Cp/Cq are illustrated in Figures 7.11 for the three lowest
temperatures. The experimental points are again depicted by the solid
symbols and the solid lines represent the best fit relationship through
the data. A small but finite intercept at the ordinate was found and
this theoretically represents D , the diffusion coefficient of the h
immobilised species. Values of D^ and (^) c_q a r e given in Table
7.5.
153
FIG 7.11 PMMAfPOWDER) / PROPANE CONCENTRATION DEPENDENCE OF D
154
TABLE 7.5. Diffusion Coefficients: Propane.
TOTAL IMMOBILISATION
PARTIAL IMMOBILISATION
i—i tH I i
V) M e u.
iH
w M
V) N e o
tH 1
CO
u o^
cx e <u h
o ii u
iq MD tH o tH
e u q
o m tH o rH
o ii u
io vD rH o rH
N e u o Q
m rH
O rH
tH 1
W
N e u
Ed o
20.0 6.4 2.9 7.9 2.3 0.38
30.0 18.6 7.4 21.6 6.8 0.62
40.0 63.1 19.5 68.6 18.1 1.45
50.0 172.3 45.4 189.8 38.7 6.90
60.0 430.1 73.5 496.3 63.28 35.4
( E d ) c = q = 86.5 kJ mol -1
( E d ) c = q = 84.9 kJ mol -1
( E d ) d = 67.5 kJ mol -1
(E d) d = 43.7 kJ mol -1
A critical examination of the results presented in Table 7.5 indicates
there is little to choose between either model and this may be a
reflection of the accuracy of the present results rather than the
lack of cogency of the partial immobilisation model.
The temperature dependences of (E a n <^ were evaluated from
the Arrhenius equation given in equation (1.6) and are also depicted in
Figures 7.16 and 7.17; the activation energies for diffusion are
included at the foot of Table 7.5.
155
According to the total immobilisation model presented in Section
2.3.2, (D) c_q may be expressed as follows
( 5 ) c = o " W S L ( 2"7 A )
it then follows that
( V c = 0 " < V D + AHD " ( A V c = 0 ( 7"6 )
Thus, (E r) c_Q depends not only upon the value of but also on the
two thermodynamic quantities AH and (AH ) . The validity of d o u
equation (7.6) is demonstrated by the close agreement of (E R) c_Q given
at the foot of Table 7.5 with the calculated value of 82.8 kJ mol \
7.1.4. PMMA/iso-butane.
The sorption of iso-butane in PMMA was studied at 40°C and the
isotherm is presented in Figure 7.12. As with propane, dual-mode
sorption behaviour was observed and the " best-fit" isotherm parameters
are given as k = 0.038^ cm"3 (stp)/cm 3 (polymer) cmHg, c^ = 1.30 c m 3 (stp)/
cm 3(polymer), b = 0.061 cmHg" 1 and S T = 0.119 cm 3(STP)/cm 3(polymer)cmHg.
6 li
Immense experimental difficulties were encountered with this gas
due to the extremely low diffusion coefficients of the polymer/penetrant
pair. The times for equilibration were in the order of a week and in
view of this, balance drifting effects could not be ruled out completely.
Furthermore, with such inordinately long equilibration times, it was
necessary to remove the water bath due to excessive evaporation. These
two factors are likely to detract from the overall accuracy of the
measurements.
156
o co
F I D 7 - 1 2
PMMA (POWDER) / i s o - B U T A N E SORPTION ISOTHERMS
157
3.0 3.1 3.2 3.3 3.4 3.5 3.6
Temperature (1 /T)/10~3K~1
FIG 7.13 POLY(M ETHYL METHACRYLATE) TEMPERATURE DEPENDENCE OF kD
158
3.0 3.1 3.2 3.3 3.4 3.5 3.6
Temperature (1 /T)/10~3IC1
FIG 7.14 POLY(M ETHYL METHACRYLATE) TEMPERATURE DEPENDENCE OF b
159
- . 5 0
-1.10
- 1 . 7 0
- 2 . 3 0
- 2 . 9 0
- 4 . 1 0
- 4 . 7 0
- 5 . 3 0
- 5 . 9 0
3.0 3.1 3.2 3.3 3.4 3.5 3.6
Temperature (1/T)/10~9IC1
fig 7.15 poly(methyl methacrylate) temperature dependence of s l
160
-20.0
-22 .0
- 2 4 . 0
- 2 6 . 0
-28 .0 © n ©
1^-30.0
^ 3 2 . 0
- 3 4 . 0
- 3 6 . 0
- 3 8 . 0
- 4 0 . 0
3.0 3.1 3.2 3.3 3.4 3.5 3.6
Temperature (1 /T)/10~8IC1
FIG 7.16 POLY(METHYL METHACRYLATE) ARRHENIUS PLOTS OF (D)**
+
161
- 2 9 . 5
- 3 0 . 0
- 3 0 . 5
- 3 1 . 0
*31.5
>-4-32.0
- 3 2 . 5
- 3 3 . 0
- 3 3 . 5
- 3 4 . 0
3.0 3.1 3.2 3.3 3.4 3.5 3.6
Temperature (1 /T)/10~SK~1
FIG 7.17
162
Diffusion coefficients were measured from the kinetics of sorption
at four concentrations. The measured diffusion coefficients were found
to be, surprisingly, independent of concentration and given as
according to the dual-mode sorption theory, the diffusion coefficient
would be expected to be a weak function of concentration as found with
propane..
7.2. General Remarks of the Dual-Mode Sorption Theory.
The mathematical expression which describes the equilibrium sorption
isotherms for systems exhibiting the general dual-mode sorption behaviour
assumes there is one component which corresponds to normal dissolution and
a second component which is characterised by the Langmuir isotherm. The
agreement between experimental data and the isotherm equation does not
necessarily imply the correctness of the model and the use of non-linear
regression analysis, or any other method of determining the sorption
parameters,does not offer a critical test of the Langmuir mode.
It has already been pointed out in section 2.3 that equation (2.60)
may be used as an alternative graphical technique of determining c'
and b. It has also been argued that this method is open to severe errors,
however, equation (2.60) serves as a convenient and direct method of
examining the applicability of the Langmuir isotherm in the present study,
viz,
1.23 x 10 cm 2/s. The reason for the invariance of D is unclear and -16
c 1
H (c ' b) >
1 1 (2.60)
i
163
1/p cmHg 1
FIG 7.18 PMMA/ETHANE LANGMUIR SORPTION
164
.2 .3 .4 .5 .6 .7 .0 1.0
1 /p cmHg -1
FIG 7.19 PMMA/PROPANE LANGMUIR SORPTION
165
The Langmuir components to the total sorption for both ethane and
propane are presented in Figures 7.18 and 7.19 respectively. The solid
symbols represent the experimentally determined concentrations,and the
straight lines were constructed using the parameters determined from
the curve-fitting procedure. The agreement is excellent.
In a strict Langmuir model, c' represents the maximum monolayer
coverage of a solid surface by an adsorbate and should, therefore, be
constant. It is evident from Figures 7.18, and 7.19 that c„ (given by
the reciprocal of the intercept at the ordinate) increases as the
temperature is lowered. Thus, the analogy between c' for sorption in H
glassy polymers and that of the ideal Langmuir model should be treated
with caution. Furthermore, since c' is considered to be a measure H
of the " frozen free volume" of the glassy polymer, the variation of
c' with temperature is unexpected. h
Three arguments are presented here which offer a tentative explanation
for the increase of c' at sequentially lower temperatures:-
h Firstly, the premise that c' represents the maximum monolayer coverage
h
should be examined. In the ideal Langmuir (5Q). model, the number of
sites available for sorption on the solid surface is fixed and at
saturation, all the sites are occupied with one adsorbate per site. The
adsorbate is futher assumed to be immobilised, although vibrational modes
in the plane of the surface are not precluded. The vibration of the adsorbate
effectively increases its occupied volume,reducing the number of sites
and at lower temperatures, this vibrational mode is expected to reduce,
allowing for a closer packing arrangement of adsorbate molecules. On
this argument, c^ should then represent the maximum monolayer coverage
at each temperature.
166
Secondly, the approach suggested by Paul et al. (52) is considered.
The reader is referred to Section 3.2.for a detailed account. The
argument presented by Paul et al., would imply that the large scale
motions of the polymer chains which exist above T persist at temperatures s
below the glass transition temperature. The phenomenon of c' is then
h
explained as the difference in volume between the glass and the
corresponding rubber state which would be obtained on an infinite time
scale.
Finally, it is conceivable that the major proportion of c' is due
to the frozen free-volume associated with the reduced motion of the main
polymer chains below T . However, it is plausible that small scale
motions still persist below T , and the proportion of this free-volume
may be better visualised as a mobile free volume, somewhat analogous to
that in the rubbery state, though of a different magnitude. At sequentially
lower temperatures, more mobile free-volume will be frozen in, which
could explain the increase in c'. According to this argument there must H
exist a hypothetical temperature below which no mobile free-volume can
exist and at which the Henry's Law mode to the total sorption must then
tend to zero. This, however, has not been observed and may be impossible
to verify experimentally.
At the other extreme, as the temperature of the glassy polymer is
raised, the Langmuir component to the sorption should reduce until the
T is attained when no Langmuir sorption should be evident. Although it g
was impractical to demonstrate this in the present study, other studies
confirm that this is the case.
167
2.5
2.0 4-
1.5
l.o 4-
cj _
£ 0.0
- . 5 4-
- l . o 4-
- 1 . 5 4-
-2 .0
propane
ethane
j u
2.5 2.7 2.9 3.1 3.3 3.5 3.7
Temperature (1 /T)/10~3IC1
FIG 7.20 APPARENT TEMPERATURE DEPENDENCE OF S^k, ,
168
In Figure (7.20), the magnitude of the composite quantity S /k Lj iJ
as a function of temperature is demonstrated . As the temperature is
increased, the Langmuir contribution (c'b) to the quantity (S /k ) H L D
reduces until the T is reached when (S /k n) = 1. For both propane g L u
and ethane, the theoretical lines through the data points were constrained
to intercept at T^ and it is evident that the agreement between theory
and experiment is good.
7.3. Transport and Sorption Parameters: Correlation Functions.
In this section, some of the transport and sorption parameters for
gases and vapours in PMMA are presented in the form of correlation graphs.
The main source of data was the present study although collation with
results reported by various other investigators will also be included.
It became evident when attempting the correlations that the physical
properties of the gases were often ill-defined. This was especially true
when the diameters of non-spherical gas molecules were considered. Various
methods for calculating gas- diameters have been reported in the
literature; Hirschfelder, Curtiss and Bird (199) gave estimates of the
molecular diameters based on measurements of gas viscosities. Molecular
diameters have also been estimated from heat conductivities, liquid
densities and computer simulated molecular models. The data provided
by these diverse techniques were found to be incomplete, and from the
point of view of generality of comparison, it was felt that the gas
diameters should be estimated from a single source only.
169
Molecular Diameter (d) /A
FIG 7.21 DIFFUSION COEFFICIENT vs MOLECULAR DIAMETER
170
The van der Waal's equation of state as given in equation (7.7)
contains the parameter 3> which is a measure of the incompressability
of the gas due to the finite volume of the molecules. An extensive
(P + a/v 2)(v - 3) = RT (7.7)
list of this parameter is available in standard texts (200) which covers
all the gases used in the present correlations. The diameter of the
gases may thus be estimated from the simple expression
3
d = /FTn (7.8) a
where N is Avagadro's number and d the gas diameter. It should be noted Si
that, d, determined by this method assumes spherical geometry of the
molecule which may often not be truely representative when the elongated
molecules such as propane and ethane are considered.
The variation of the diffusion coefficient, (D) with molecular e=0
diameter is shown in Figure 7.21 and the solid line represents the best
fit relationship. Although the correlation suggests an exponential
variation of the diffusion coefficient upon linear diameter, it should
be appreciated that logarithmic relationships of this type may be
deceptive. For example, a deviation in absolute terms of a hundred fold
would only be manifested as four fold error in logarithmic designation .
171
90.0 -
QJH 8/#
80.0 - • C 2 H 7
I 270.0 -
"~Q60.0 -"~Q60.0 -
/ * C 2 H e
^50.0 - / c h 4
0) si #002
H 2 O • / g40.0 -o •c* •to / # N a
330.0 --to 0 / #0 2
20.0 - / # H e
10.0 -
1 1 1 1 0.0 1.0 2.0 3.0 4.0 5.0 6.0
Molecular Diameter (d)/ A
FIG 7.22 ACTIVATION ENERGY vs MOLECULAR DIAMETER CORRELATION
172
The variation in the activation energies of diffusion (E ) as a D c=0
function of gas diameters is presented in Figure 7.22. Again, a
pronounced dependence of E^ on the gas diameter is apparent. A
relationship of the form
< V c - 0 " k d 2 ( 7 - 9 )
was assumed where k was an arbitrary system parameter. The data was
constrained to fit equation (7.9) and is represented as the solid curve.
The fit appears to be good although it may be argued that a linear
relationship is equally representative. In view of the sparsity of data
o
below the critical diameter of ^ 2.5A, it is impossible at this stage to
elaborate on the justification of either relationship without recourse
to wanton speculation.
In this penultimate section, correlations are presented for the
parameters k , S and (AH ) It should be appreciated that the L) L b C—U
solubility coefficients in glassy polymers, particularly S^, are heavily
dependent upon the prior history, of the sample. Thus, any serious attempts
to compare these quantities without consideration of this additional
factor could be misleading. Furthermore, since the data presented here
are not confined to the present study, only a simplistic, semi-quantitative
treatement of the results will be attempted. It has already been discussed
in section 3.3 that r/k, the Leonard-Jones force constant,has often
been used as a fundamental correlation parameter. Furthermore, since the
boiling point and the critical temperatures are both related to s/k, only
correlations to this more meaninglful parameter will be considered.
173
—1.70 +
-2.30 4-
-2.90 4-
o o 00-3.50 4-
^ 4 . 1 0 4-
-4.70 4-
-5.30 4-
-5.90 4-
0 3
co2
c 3 h |
i—C 4 H 10
ch 4
0 2
c0 2
c2he(powderb
cah6(sheet)
.0.60 | , i i i i [ i i i i ) i i i i j » i < i i i i i i ] i i i i
0.0 50.0 100.0 150.0 200.0 250.0 300.0
Leonard Jones Well Depth (e/k)
FIG 7.23 LIMITING SOLUBILITY CORRELATION
174
-2.00
-2.30 +
- 2 . 6 0 +
-2.90 +
c j o o 0>3.20 -f-
so c3
^ 3 . 5 0 +
Si
-3.80 -f
•4.10 4-
-4.40
-4.70 +
i - C 4 H 1 0
j i ' l. • » i • ' j l
100.0 130.0 160.0 190.0 220.0 250.0 28070
Leonard Jones Well Depth (e/k)
FIG 7.24 HENRYS LAW SOLUBILITY CORRELATION
175
0.0 50.0 100.0 160.0 200.0 250.0 300.0
Leonard Jones Well Depth (e/k)
fig 7.25
heat of sorption correlation
176
. The limiting solubilities S are presented in Figure 7. 23 and l
indicate a general trend of increasing S with increasing e/k. The « l
value of S for C0 2 presented by Koros, Smith and Stannett (83) appears to be i_i
considerably larger than the norm, though this may be attributed to the
technique employed by these investigators. Koros et al., subjected
the PMMA sample to high pressures of C0 2 in order to pre-condition the
polymer. This has the effect of dilating the microvoids, and consequently
enhancing the sorptive capacity of the Langmuir component. The larger
S value is thus to be expected. Li
The variations of k^ with e/k is shown in Figure 7. 24. Only four
data points were available and these appear to be linearly disposed
yielding a best fit line given by
^ n k D = 0.02 (e/k) - 7.4
The gradient of this line is in good agreement with the value of 0.026
predicted by Michaels et al. (93) for rubbery polymers.
Correlations between (AH ) _ and e/k are presented in Figure 7.25.
S c=(j
Michaels and Bixler (93) have shown that a linear relationship exists
between AH^ and e'/k and the present results as depicted in Figure 7.25
suggest that there may also exist a linear correlation between (AH„) S c=0
and e/k.
The use of propane in the systematic study of glassy polymers has been
reported by at least three other investigators (71,92, 7 5 ) . If the list
is extended to include polymers above their T , then many more (191,192,
193,202,203, vide supra Chapter 6) may be appended to this growing
catalogue. The attraction of propane as «i microprobe lies in its high
solubility in many polymers, and even at sub-atmospheric pressures,
177
significant levels of sorption are normally achieved. The advantage of
the high solubility coefficient must, however, be offset against the
lower diffusion coefficients encountered with this vapour. With this
view in mind, a correlation is presented between the diffusion coefficient
and a fixed polymer variable, the specific free volume.
The direct comparison between the diffusion coefficient for a given
penetrant in various polymer environments is a non-trivial exercise.
However, a semi-quantitative picture may be formulated on a modified
volume-fluctuation treatment.
The diffusion coefficient according to Bueche (198) may be related
to the jump frequency and 6, the average jump step. Hence,
To a crude approximation, the average jump step for a given penetrant
molecule in different polymers may be assumed to be comparable in magnitude .
Thus, the large variation in the diffusion coefficients which are normally
experienced may be attributed to the different jump frequencies. On a
molecular level, the diffusion coefficient may be associated with the
availability of a " hole" into which the penetrant may transfer. In
a pre-emptive study, Lee (100) suggested that the free-volume of the
polymer is a good measure of the " hole" content and proceeded to define
a unit weight free-volume parameter, namely the specific free volume (SFV)
from
d - | •« 2 (7.10)
( S F V ) = V /M F
(7.11)
178
where V p is the molar free volume of an amorphous polymer (cm 3 mol
and M the molecular weight of a " mer" unit (g mol .
Fujita (204) defined a mobility parameter, viz,
m = A exp [-B /(SFV)] (7.12) a
where A and B are system constants and m is related to the diffusion a
coefficient by
D = RT.m (7.13) a
combining (7.12) and (7.13) then gives
/nD = /n(RTA) - B/(SFV.) (7.14)
According to equation (7.14), /nD is inversely proportional to SFV
provided A and B are not functions of the polymer. Lee (100) proceeded to
introduce the solubility coefficient into equation (7.14) in an attempt
to relate the SFV to the permeability. It is felt that this additional
step complicates the correlation unnecessarily, and for the present
purpose, equation (7.14) will suffice.
Values of the SFV at 25°C for five different polymers were obtained
from the literature (100) and the correlation is illustrated in graphical
format in Figure 7.26. The agreement is remarkable yielding a correlation
coefficient of better than 0.99. It should be appreciated that of the
five polymers considered, three (PS, PC, PMMA) are below their glass
179
2.0 4.0 6.0 8.0 10.0 12.0
1 /(Specific Free Volume) / gcc'1
fig 7.26 PROPANE DIFFUSION vs 1/SFV at 25°C
180
90.0
80.0 4-
70.0 4-
60.0 4-
50.0 4-o d
_ o
3 40.0 4-
30.0 4-
20.0 4-
IO.O 4-
0.0 0.0 2.0 4.0 6.0 8.0
1 /(Specific Free Volume) gcc
FIG 7.27 PROPANE ACTIVATION ENERGY vs 1/SFV
181
transition temperatures at 25°C whereas the other two (PE, NR) are well
above their T . This then begs the question as to whether the mechanism
for diffusion above T is identical to that in the glassy state. Diffusion
in rubbers is believed
to occur via the cooperative motions of the
main polymer chain, but below T , such large scale motions are believed s
to be effectively " frozen out" . The quality of the correlation for both
rubbers and glass on the same curve may be explained by the fact that
the diffusion coefficient of a given polymer above and below T differs 8
at most by a factor of two or three. On an extensive logarithmic scale,
as used in Figure 7.26, such small variations would not be noticed.
Combining equation (7.14) with (1.6) yields a relationship between
the activation energy for diffusion with the specific volume element,
The validity of equation (7.15) is shown in Figure 7.27.
7.4. A Critical Examination of Diffusion in PMMA Powder and Sheet.
The apparent dichotomy of results found with the sorption and diffusion
parameter for ethane in PMMA powder and sheet begs the question as to
which result is correct. Several facets of the experimental technique
were examined in turn and the postulate of residual casting solvent in
the sheet proved to be the most probable explanation. To recapitulate,
the diffusion coefficient at 30°C for ethane in the 36.6 I'm sheet was
-11 -13 determined to be 2.2 x 10 cm 2/s compared with 1.29 x 10 cm/s for
the 0.15 I'm spheres at: the same temperature.
D (7.15)
o
182
The first problem to be addressed, therefore, was the possible error
incurred in the determination of the individual particle diameter of the
powder. If it is argued that the diffusion coefficient determined using
the sheet is correct, then the minimum diameter of the powder must be in
the order of ^ 2 p. Furthermore, since the temperature dependences of
the diffusion coefficients for both the powder and sheet are different,
this would moreover indicated that the particle diameters vary as a
function of temperature.
Another aspect which was considered was the premise that the process
of diffusion in the powder was controlled by transport through the
" sample bed" rather than into the individual particles. To examine
this postulate, the " sample bed" thickness was varied and the diffusion
coefficient subsequently measured. It was found on increasing the volume of
sample from 0.2 to 0.7 cm 3 that the effect on the diffusion coefficient was
— 1 5 — 15 negligible, 9.9 x 10 and 10.1 x 10 cm 2/s respectively, for ethane at 1 C.
Thirdly, the possibility of a real difference between the polymer
samples was considered. The PMMA sheet and powder were obtained from
different sources with the former obtained commercially and the latter
prepared by emulsion polymerisation; it is conceivable that the two forms
may differ in their stereoregular composition. The stereotacticities
of PMMA prepared by free-radical techniques are now well reported (184-
186, 210) with the syndiotactic form favoured at lower temperatures. NMR
analysis on the two samples indicate slight differences in the stereo-
tacticities (vide supra, Table 5.2) although this is insufficient to
explain the pronounced differences in their sorption and diffusion
characteristics (210).
183
Finally, the postulate that residual casting solvent in the sheet
may have accelerated the sorption kinetics was examined. Since no
technique has yet been found which unambiguously demonstrates the
presence or absence of solvent in the sheet, trace solvent was therefore
added to the powder for comparison. To achieve this, the polymer powder
was suspended on the microbalance and outgassed. Toluene vapour
(p/p Q 0*05) at 1°C was introduced to the dry sample and the weight
uptake 0*05 w/w at equilibrium)was followed as a function of time J
complete equilibration was acheived after two weeks. Sorption kinetics
for ethane were then measured for the toluene-loaded powder and a diffusion
-12 -15 coefficient of ^ 10 cm 2/s obtained, compared with a value of 9.9 x 10
-13
cm 2/s for the vigin-powder and of 7 x 10 cm 2/s for the sheet (extra-
polated value).
The implications of the results are quite clear and suggest that even
at low levels of residual solvent, adequate plasticisation of the polymer
has occurred which facilitates the transport of penetrant molecules.
The precise nature of the plasticisation is obscure since the T^ of the
PMMA is in close agreement with the powder albeit encompassing a broader
range. If plasticisation effects are operative then it must be assumed
that the main polymer chains are largely unaffected and the solvent
molecules selectively plasticise smaller scale motions. If this
premise is true, then it would suggest that below T , the diffusional 8
process is due to the cooperative motion of short sections of the chain
or side chains.
184
CHAPTER EIGHT
RESULTS AND DISCUSSION PDMS-g-PMMA
8.1. Introduction.
The graft copolymers were prepared by pre-swelling a silicone rubber
matrix with methyl methacrylate monomer, followed by subjection to
y-radiation. The effect of the y-radiation is the generation of free-
radical sites in the rubber matrix from which initiation and subsequent
propagation of the grafts occur. Provided low radiation dosages are
employed, high molecular weight side chains are expected with little or
no homopolymer produced. Evidence of high molecular weight grafts and
other physical properties of the membranes have already been discussed in
Chapter Five.
In this chapter, the sorption of propane in the graft copolymers is
reported and the validity of the additivity rule as applied to solubilities
is examined. Permeabilities of the graft copolymers are presented and
examined in relation to some selected models presented earlier in Section
3.5. Finally, diffusion coefficients measured by various techniques are
described and a means of relating the different diffusion coeffients are
discussed.
The nomenclature suggested in Chapter Four will be retained here
and in addition, the subscripts C and D will be introduced and refer to
the " continuous" (silicone rubber) and the " dispersed" (PMMA) phases
respectively. The subscript m refers to the composite membrane.
185
o to
o o
o to en
CO
CM
CM
o
• 3 0 . 0 C
© 4 0 . 0 C
A 5 0 . 0 C
^ . 0 0 8.00 16-00 24.00 32.00 Pressure / (crruHg)
40.00 48
F I G 8 . 1
PDMS—g—24.14%PMMA* SORPTION ISOTHERMS
185
o in
• 3 0 . 0 C
Q 3 5 . 0 C
A 4 0 . 0 C
^ . 0 0 8.00 16.00 24.00 32.00 40.00
Pressure / (crruHg)
F I G 8 . 2
PDMS—g—24.14%PMMA* SORPTION ISOTHERMS
187
o ID
o o
• 3 0 . 0 C
Q 3 5 . 0 C
a 4 0 . 0 C
^ . 0 0 8.00 16.00 24.00 32.00 Pressure / (crruHg)
40.00
F 1 0 8 . 3
PDMS—g—24.14%PMMA* SORPTION ISOTHERMS
o CO
Pressure / (crruHg)
F IG 8.4
PDMS—g—39.76%PMMA SORPTION ISOTHERMS
189
o in
£ o o
1
to
o o \
o o
o in
• 30.0 C
© 35.0 C
A 40.0 C
O 45.0 C
O 50.0 C
^ . 0 0 8.00 16.00 2 4 . 0 0 3 2 . 0 0
Pressure / (crruHg) 4 0 . 0 0 4 8 . 0 0
F IG 8 . 5
PDMS—g—24.14%PMMA* SORPTION ISOTHERMS
190
o co
3 o v s o §
o
\
o
• 30.0 C
© 35.0 C
8.00 Pressure / (crruHg)
F IO 8.6
PDMS—g—24.14%PMMA* SORPTION ISOTHERMS
191
8.1.1. Equilibrium sorption.
The equilibrium sorption isotherms of nrooane in the graft copolymer
concave to the abscissa was observed which was attributed to the Langmuir
component in PMMA. The level of curvature was less severe at low volume
fractions of PMMA but became more noticeable at sequentially higher levels
of grafting as illustrated in Figures 8.1 to 8.6. The solid lines
represent the best fit relationships and the dashed lines depict the high
pressure asympote for the isotherm measured at the lowest temperature;
the best-fit parameters are presented in Table 6.1. For lower volume
fractions of PMMA, curvature in the isotherm was barely discernible and
only the overall Henry's Law solubility, (S_) , is given. L m
It should be appreciated that (k^) represents the Henry's Law
dissolution constant expressed per unit volume of membrane and is related
to the Henry's Law dissolution constants of the pure components by,
Similarly, (c') is defined as the concentration of propane in the H m
microvoids at saturation expressed per unit volume of membrane. If the
Langmuir component is attributed solely to PMMA, then,
were measured in the temperature range of 30°C-50°C. Significant curvature
(8.1)
(8.2)
(S ) , t h e o v e r a l l H e n r y ' s Law s o l u b i l i t y c o n s t a n t may b e w r i t t e n L m a s
(8.3)
192
and since b, the hole affinity constant is independent of composition,
substituting (8.1) and (8.2) into (8.3) then gives
( V r a • W c + V [ ( k D > D + ( c H V ] S V ( V C + •D-(SL)D 8- 3 ( a )
Equations (8.1) to (8.3(a)) express mathematically the additivity of
solubility and are also illustrated by the solid lines in Figures 8.7 to
8.9. The variation of (lO with volume fraction is depicted in Figure L; m
8.7J as expected , the Henry's Law component to the sorption decreases
as the volume fraction of PMMA is increased. Furthermore, the agreement
between the experimental points and the linear relationship is good.
The variations of (cT'T) and (ST) with d> are illustrated in Figures H m L m D 8.8 and 8.9 respectively. The solid lines were calculated from equations
(8.2) and (8.3(a)) using the values of (k ) , (c')_ and b given in Table D D H D
7.4. It is evident that both (c') and (ST) do not conform to the H m L m
" additivity rule" and the deviation from the expected behaviour is more
pronounced at sequentially higher volume fractions of PMMA. The direct
implication of this is a non-proportional increase in the microvoid content
of the graft copolymers with composition. If the concept of c' is h
extended to embrace adsorption in the voids formed at interfacial boundaries,
then this may offer a plausible explanation for the anomaly. However, it
is proposed here that the deviation of c' may be due to a real variation H
in the microcavity content of the PMMA dispersions. In the present study, the
graft copolymers were prepared by the polymerisation of methyl methacrylate
monomer in situ.and towards the end of polymerisation substantial quantities
of monomer vapour are still present. Post-irradiation treatment then included
193
TABLE 8.1. PDMS-g-PMMA Sorption Parameters,
a 6 to CO
u
pu B q) h
60 60
- ps u
60 ps B o
CO
60 PC B u ^ rh o pl
CO
PDMS-g-10.35% PMMA
PDMS-g-30.67% PMMA
PDMS-g-39.76% PMMA
PDMS-g-46.34% PMMA
PDMS-g-51.45% PMMA
PDMS-g-28.14% PMMA*
30.0 40.0 50.0
30.0 35.0 40.0 45.0 50.0
30.0 35.0 40.0 45.0 50.0
30.0 35.0 40.0 45.0 50.0
30.0 35.0 40.0 45.0 50.0
30.0 35.0 40.0 45.0 50.0
0.0891 0.0785 0.0721 0.626
0.0578
0.0784 0.0707 0.0641 0.580 0.0557
0.0845 0.0702 0.0629 0.0555 0.0546
0.0741 0.0652 0.0595 0.0577 0.0508
0.918 0.0797 0.0728 0.0691 0.0613
0.18
0.20(6)
0.12(9) 0.20(5) 0.11(7)
0.36(7) 0.37 0.42 0.28
0.21
0.45(9) 0.32 0.30 0.33(8) 0.21(8)
0.62(7) 0.54(5) 0.52 0.30(6) 0.27(7)
0.167 0.249 0.153 0.051 0.082
0.26
0.14(9) 0.22
0.11
0.15(8)
0.19(7) 0.13(8) 0.089(6) 0.13 0.10
0.24 0.21 0.18 0.10(6) 0.14
0.163 0.13(6) 0.12 0.16(7) 0.14(9)
0.266
0.113 0.158 0.554 0.179
0.120 0.080
0.069
0.137 0.109 0.102 0.085 0.076
0.151 0.122 0.102 0.096 0.079
0.195 0.139 0.118 0.091 0.085
0.176 0.139 0.122 0.109 0.094
0.136 0.108 0.097 0.0974 0.076
194
Volume Fraction PMMA
FIG 8.7 (kD)m vs VOLUME FRACTION AT 30°C
.1 .2 .3 .4 .5 .6 .7 .8 .9 1.0
Volume Fraction PMMA
FIG 8.8 (C„')m vs VOLUME FRACTION AT 30°C
196
Volume Fraction PMMA
FIG 8.9 (SL)m vs VOLUME FRACTION AT 30°C
197
evacuation followed by solvent extraction. Such severe treatment of.
the grafts is likely to disturb the microvoid content of the glassy
polymers in view of the high solubility of both the monomer and the
solvents in PMMA. Furthermore, the small PMMA domains which are formed
facilitate rapid desorption of the vapours and this is also expected
to enhance the cavity component. A more critical test of the " additivity rule" and one which is
without recourse to establishing a sorption model for the dispersed phase
is presented as follows!
The total sorption in the copolymers may be written in the form,
c ° c c + c l ) = V ( V c p S ( 8 : A )
where c is the total concentration of penentrant in the membrane and the
quantities c^ and cR represent the concentration af penetrant in the
continuous and dispersed phases respectivley, expressed per unit volume
of membrane.
If [ c J is defined as the concentration of penentrant in the PMMA D m domains, expressed per unit volume of dispersed phase, then
[cD] = [g " V ^ D V ^ D (8'5)
Values of a t 30°C were extracted from the graft copolymers and
are presented in Figure 8.10 as a function of pressure. The solid line
represents the sorption isotherm determined from the powder sample. It is
clear that the extracted Isotherms cannot be represented by a single line but
is perhaps better characterised by a sorption hand; the reason for this
may lie in the non-uniform history of the various samples.
198
2.70 - -
C q)
S
o
o vo \ 1 . 8 0
so
0 1 . 5 0 o
gl.20 o
so
£ .90 e o o e o .60
.30 - -
Pressure / (cmHg)
FIG 8.10 EXTRACTED ISOTHERMS AT 30°C
199
An alternative test of the additivity rule may be performed,in which
the total concentration is expressed in the form
c = c c + C D = * c [ c c ] + *D[CD] ( 8' 5 a )
(8.5b)
(8.5c)
where tc J and [cR] now refer to the concentration of penetrant expressed
per unit volume of continuous and dispersed phases respectively.
Values of c as a function of at 30°C were constructed and the
isobars are illustrated in Figure 8.11 at four pressures. The parameters
characterising each isobar, namely the gradient and the intercept at the
ordinate are tabulated in Table 8.2. Also included in column 4 of Table
8.2, are the ratios of the intercept values to the ambient pressure. It
is evident from equation (8.5(c)) that these represent the Henry's Law
solubility coefficients for PDMS.
TABLE 8.2. Graft Copolymer:Isobar Parameters at 30.0°C.
p/cmHg [c ] - [ c i / c m 3 ( S T P ) L V c cm3 (polymer)
rc i /Cm3 (STP) c cm3(polymer)
[Gc]/Cm3(STP)
P cm3(poly)cmHg
10.00
20.00
30.00
40.00
40.353
-0.820
-0.642
-1.244
0.960
1.997
3.048
4.104
0.096
0.099
0.101
0.102
and since,
then 1
c = V l c D ] ~ ^ ( T + t c c '
200
Volume Fraction PMMA
FIG 8.11 GRAFT COPOLYMER ISOBARS
201
It is gratifying to find that these estimates of the Henry's Law
solubility coefficients are constant and in good agreement with the
value of 0.101 cm3(STP)/cm3(poly)cmHg presented earlier (vide supra.
Chapter 6) for silicone rubber
The temperature dependences of G O and (ST) were determined from d m l m
the van't Hoff relationship and the values of AHp and (AHg)c_q are
presented in Table 8.3. Also included in Table 8.3 are the thermodynamic
quantities determined for PDMS and PMMA.
TABLE 8.3. Graft Copolymers: Heats of Sorption.
Sample AHD/kJ mol"1 (AHg)c=0/kJ mol 1
PDMS -16.9
PDMS-g-10. 35% PMMA -16.1
PDMS-g-24.14% PMMA -15.5 -20.1
PDMS-g-30. 67% PMMA -17.8 -23.1
PDMS-g-39. 76% PMMA -14.4 -25.5
PDMS-g-46.34% PMMA -18.1 -34.1
PDMS-g-51.45% PMMA -14.3 -24.3
PMMA -19.9 -35.0
AHp, was found to be largely independent of composition and by
considering equation (8.1), it can easily be shown that
ah (8.6) d < | ) c ( k ) c + < t > d ( k ) C d D
202
Volume Fraction PMMA
FIG 8.12 ( a h j c - o v s VOLUME FRACTION
203
Furthermore, since for PDMS and PMMA
(AHJ ~ (AH ) (8.7) D C " D D '
then equation (8.6) reduces to the relatively simple relationship of
(AHD) ^ (AHD)C * (AHD)D (8.8)
which is indeed consistent with the experimental findings.
An expression similar to equation (8.6) may be derived for the
dependence of (AHg)c_Q on composition, viz.,
® s > c o " y v c + y v d [ ( s b d ) c " ^ s d ' c - o 1 + ^ s l p c - o ( 8 - 9 )
However, in this case (AH ) 4 (AH ) _ n and the overall heat of sorption U J D C U
is expected to be a function of composition. The theoretical variation
of (AHg)c_Q with <}>p is illustrated in Figure 8.12 as the solid line.
The symbols represent the experimentally determined heats; the agreement
between experimental and theory is fair.
8.1.2. Steady State Permeabilities.
The permeabilities of the graft copolymers were measured directly
using the high vacuum permeation technique described in Section 4.2. For
all the samples, a direct proportionality existed between the steady state
flux and the ingoing pressure indicating a constant permeability", the
permeabilities P^ at 30°C are tabulated in column 3 of Table 8.4.
•14.2 4-
•14.3 4-
•14.4 4-
-14.5 4-
-14.6 4-
-14.7 4*
•14.8 4-
- 1 4 . 9 4-
- 1 5 . 0 4-
- 1 5 . 1 4-
- 1 5 . 2 4-
- 1 5 . 3 4-
PDMS—G—10.35%PMMA
PDMS—G—30.67%PMMA
PDMS—G—39.76%PMMA
PDMS—G—46.34%PMMA
PDMS—G—51.45%PMMA
\—'—1—f 3.00 3.06 3.12 3.18 3.24 3.30
Temperature (1/T)/10~*KT1
FIG 8.13 TEMPERATURE DEPENDENCE OF PERMEABILITY PETROLEUM EXTRACTED SERIES
205
- 1 4 . 5 0 +
- 1 4 . 5 8 4-
- 1 4 . 6 6 - f
- 1 4 . 7 4 +
- 1 4 . 8 2 +
L4.90 +
- 1 4 . 9 8 4-
- 1 5 . 0 6 4-
- 1 5 . 1 4 4-
- 1 5 . 2 2 4-
PDMS1—G—24.14%PMMA
PDMS—G—32.28%PMMA
j i i i i i i i i i i l j 1 l
3.06 3.12 3.18 3.24 3.30 3.36 3.42
Temperature (1/T)/KT1
FIG 8.14 TEMPERATURE DEPENDENCE OF PERMEABILITY ACETONE EXTRACTED SERIES
206
The temperature dependences of P^ are illustrated in Figures 8.13
and 8.14 for the petroleum ether and acetone extracted samples respectively.
Good linear plots were obtained with the petroleum ether extracted samples
which allowed ER to be determined with accuracy. The temperature dependence
of P for the acetone extracted samples was unusual and indicated a m
marked reduction at L 40°C. The technique employed with the acetone extracted
samples was identical to the petroleum ether extracted samples; the membrane
was mounted in the diffusion cell and subsequently outgassed. The water
bath thermostat was adjusted to 30°C and the sample allowed to equilibrate
for several days. The permeation run was then commenced and no anomalous
effects were observed at this stage. After several runs were performed,
and a constant P with pressure was verified, the thermostat was raised m
to 35°C and the procedure repeated; again no anomalies were encountered.
However, when the bath temperature was further raised to 40°C, the
permeability of the membrane was reduced markedly compared with the
preceeding runs at the lower temperatures. Furthermore, the drop in
the permeability was thermally irreversible and recovery to the original
value could not be achieved in this way. However, the original state of
the membrane could be restored by re-extraction in acetone.
The activation energies of permeation, E r, were estimated using
equation (1.9) and are tabulated in column 4 of Table 8.3. The two values
for the acetone extracted samples represent the E 1s before and after the
apparent " transition" at 40°C. In general, the activation energies of
permeation were found to be almost independent of composition and are also
in good agreement with the value for silicone rubber. The invariance of
207
E with composition may be inferred, a priori, from equations (3.16),
(3.19), (3.23) and (3.29) provided separation into the pure components
is complete. In the limit that P^ » Pp, these equations may be written
in the form
and by taking logs, followed by differentiation w.r.t. (1/T), it can
be shown that
The close agreement of the Ep's with that for PDMS thus confirms the
premise that the continuous phase is PDMS and furthermore, the rate
controlling step for transport in the graft copolymer membranes is the
slow diffusion in the silicone rubber matrix! the PMMA domains are then
simply impermeable fillers.
A more critical examination of the models outlined in Section 3.4
is shown in Figures (8.15) and (8.16). A total of six models are
illustrated, albeit only two were found to be of any real consequence!
the Lichtenecker model is included for academic interest.
The permeabilities of the graft copolymers were well represented by
the Higuchi and Bb'tcher models and the actual deviations from the various
models are futher illustrated in Figure 8.17. The applicability of the
various models in interpreting the permeabilities of composite membranes
(8.10)
(8.10(a))
208
0.9 L V
0.8 L
o {L 0-7
^ 0.6 £ *o a
0.5 L q) cl
q)
0.4 a k1 q) a;
0.3 L
0-2 L
0.1 L
v \ A
A
Higuchi
Maxwell
— — — Bruggeman \
w \\
W \ \\
\
\\ w
n \ w
a \ \ •
\ s
v \ \
X No
0 .1 0 -2 0 .3 0.4 0 .5 0 .6 0-7 0.8 0.9
Volume Fraction PMMA
FIG 8.15 PERMEABILITY OF GRAFT COPOLYMERS AT 30°C
209
o
so £
s a
q) cl
q> s o
a 0)
a;
0-9
o - 8 a
0-7
0 - 6
0-5 L
0-4 L
0-3 L
0-2 L
0-1 L
Botcher
Lichteneckerl
Meredith Sc
Tobias
\
0-1 0-2 0-3 0-4 0-5 0-6 0-7 0-8 0-9
Volume Fraction PMMA
FIG 8.15 PERMEABILITY OF GRAFT COPOLYMERS AT 30°C
210
I
.ib +
.15 +
.12 +
.09 4-
£ .06
g o so a
.03 ?> 0)
-.06 +
HIGUCHI
BRUGGEMAN
MAXWELL
+ BOTCHER
-.00 4 *
- . 0 3 4-
.1 .2 .3 .4 .5
Volume Fraction PMMA
FIG 8.17 DEVIATION FROM STANDARD MODELS
211
TABLE 8.4. Graft Copolymers: Permeabilities at 30°C.
Sample 107r ^cm3(STP)cm m cm2 s cmHg E /kJ mol 1 P
PDMS 0 7.40 -2.6
PDMS-g-10. 35% PMMA 0.0875 5.66 -3.1
PDMS-g-24. 14% PMMA* 0.2090 4.85', 3.55 - 2 . 7 ; 0.0
PDMS-g-30. 67% PMMA 0.2687 4.18 -2.1
PDMS-g-32. 28% PMMA* 0.2836 3.15; 2.54 -2.0; 0.0
PDMS-g-39. 76% PMMA 0.3541 3.20 -1.9
PDMS-g-46. 34% PMMA 0.4177 2.94 -2.2
PDMS-g-51. 45% PMMA 0.4681 2.54 -1.8 PMMA 1 ^ 24
have been reported-by various investigators. Munday. (92) found that the
models of Higuchi and Bruggeman described well transport through a series
of PDMS-g-PS membranes. Sheer (205) also found that the Bruggeman, Higuchi
and B'otcher models represented the permeabilities of his PDMS-g-PVAc
membranes. It would appear that there is little to choose between the
various models and the eventual selection of a particular model which is
felt to be reflective of the system is then somewhat subjective. It should
also be appreciated that the forcefulness of the models is greatly dependent
upon the accuracy by which P , the permeability of the continuous phase,
may be determined. It has already been pointed out in Chapter Six that
the permeability of silicone rubber to propane is not a well
established parameter and indicates a spread of approximately 30%. Adjusting
212
the present results by this factor would satisfy almost all the models
presented in Figures 8.15 and 8.16 (barring the Lichtenecker Rule). In
view of the apparent success of the Higuchi model found by other
investigators, and the good agreement with the present results, it will
be used for the remaining analysis in this treatise.
The anomalous behaviour of the acetone extracted samples with
respect to the tensile strength and relative thickness have been mentioned
in Chapter Five. The irregularities in the permeabilities have also
been discussed briefly in the earlier parts of this chapter and these are
further demonstrated in Figures 8.15 and 8.16. The total incapability
of any of the theoretical models to represent the permeabilities of these
membranes, coupled with the fact that the permeabilities are significantly
lower than for the petroleum ether extracted samples suggest major
morphological differences between the samples. The lower permeabilities
suggest the likelihood of " lamella" type structure which is in tacit
agreement with the micrographs presented in Figure 5.
8.1.3. Diffusion Coefficients.
In this section, the diffusion coefficients of the graft copolymers
determined by various techniques are reported. A means of inter-relating
and interpreting these different diffusion coefficients is discussed.
Steady State Diffusion Coefficients.
The steady state diffusion coefficients for the graft copolymers were
estimated from equation (2.14). Since the steady state fluxes (J/) were
directly proportional to pressure , p , i.e., a constant permeability,
it then follows that
213
- = J/ = ( 8 > n ) m p op
Also, since the equilibrium sorption isotherms may be represented
adequately by the dual-mode sorption equation then
ac c H b
giving
d ( c ) = itt • ^ = p -£ kn + c n b / ( 1 + b p ) 2 l 1 ( 8 - 1 3 )
9 p dc m D H
A typical example of equation (8.12) is illustrated in Figure 8.19
this curve has been labelled D^g in the diagram. Diffusion coefficients
determined by various other techniques are also included hut more will
be said about these later.
In order to compare the diffusion coefficients of the graft copolymers
satisfactorily, it is convenient to establish a reference concentration
and the diffusion coefficient in the limit of zero concentration is
normally chosen. Thus from equation (8.13)
( D W V ( k D + C H b ) ( 8 - 1 3 ( a ) )
where (D)c represents the diffusion coefficient in the absence of any
concentration effects.
Alternatively, the diffusion coefficient in the limit of high pressure
may be defined, whence
214
( d ) c = » " v kd (8.14)
From an analogy with the diffusion model for dual-mode sorption
in glassy polymers, (D)c relates the flux to the total Henry's Law
population within the membrane.
In Table 8.5, values of (D) _ and (D) at 30°C are tabulated c=U c=°°
for the graft copolymer membranes. Both (D) _ and (D) obeyed the c=U c=0°
Arrhenius expression and the values of (E^) _ and (E^) are included D c=0 D c =°°
in Table 8.5.
TABLE 8.5. Graft Copolymer: Diffusion Coefficients at 30°C.
Sample 106 < ° W 2. "I cm s
106(D) / c=°°
2 "I cm s
( V c - 0 k J mo 1 ^
( V c " kJ mol ^
PDMS 7.33 7.33 13.9 13.9
PDMS-g-10. 35% PMMA 5.57 5.57 13.0 13.0
PDMS-g-24. 14% PMMA* 3.56, 2.61 5.28, 3.26 12.2,15.5
PDMS-g-30. 67% PMMA 3.06 4.69 21.0 15.7
PDMS-g-39. 76% PMMA 2.13 4.08 23.6 12.6
PDMS-g-46. 34% PMMA 1.54 3.48 31.7 18.0
PDMS-g-51. 45% PMMA 1.44 3.42 23.0 12.6
The applicability of the Higuchi theory as given in equation (3.29)
in the interpretation of the permeabilities of the graft copolymers has
already been discussed earlier. As a further illustrative test of this
model, the relative diffusion coefficients [(D) _n/D ] as a function of
215
- . 0 .1 .2 .3 .4 .5 .6 .7 .8 .9
Volume Fraction PMMA
FIG 8.18 DIFFUSION COEFFICIENTS OF GRAFT COPOLYMERS
216
composition are depicted in Figure 8.18. The solid line was calculated
from the Higuchi model and the additivity rule; fairly good agreement
was found.
It is perhaps pertinent at this stage to examine critically one of
the main assumptions of the Higuchi model. Implicit in the Higuchi
expression, is the condition that the rate determining step for transport
through the heterogeneous medium, is the slow diffusion in the continuous
phase. Consequently, the kinetics of dissolution in the PMMA dispersed
phase must be rapid. Provided this critical condition is upheld, no
anomalous time effects are expected.
In view of the low diffusion coefficients encountered in the PMMA/
propane system (vide supra, Chapter 7) it was felt that a serious examination
of this condition was necessary; the graft copolymer selected for the
study was PDMS-g-46.34% PMMA. The diffusion coefficients of propane in
this sample were examined from (a) sorption and .conjugate desorption
kinetics (b) time lag and compared with the values estimated from the
steady state.
It has already been pointed out in Section 2.1.5 that when the
diffusion coefficient is concentration dependent, equation (2.36) yields
an average diffusion coefficient D. . Furthermore, the arithma'tic mean of
the sorption and conjugate desorption diffusion coefficients is given by the
expression:
5 = i ( d s + d d ) i f o
c f °
D(c)dc
The diffusion coefficients D and D, were measured at six c d concentrations from which the D(c) dependence was constructed by employing
a polynomial curve fitting technique. The experimental diffusion
217
Concentration / cc(stp)/cc(polymer)
FIG 8.19 PDMS—G—46.34%PMMA DIFFUSION COEFFICIENTS
218
coefficients together with the derived D(c) dependence are included in
Figure 8.19. The agreement with the steady state diffusion coefficient
is excellent.
It has already been shown that the equilibrium sorption isotherms
for the graft copolymers are quantitatively consistent with the model
for dual-mode sorption. Again, by analogy with the diffusion model
presented in Section 2.3.2, a concentration independent diffusion
coefficient, hereby designated D*, may be defined from
J = - D*. (8.15) dX
where c* is the concentration of the total Henry's Law dissolved
population.
Since the flux is also given by
J = -D(c). (8.16) dX
then by the consideration of fluxes
D(c) = D*. / (8.17) dC
It should be noted that D* theoretically represents the"diffusion coefficient
in the limit of high pressure and is equivilent to the steady state difussion
c o e f f i c i e n t i n t h i s same l i m i t [ i . e . , (D^ = P c=<« ni d
Substituting equation (8.17) into equation (2.27) then gives,
- 1 D — — c o
c ° 9r* c* D*. .dc = — D* (8.18) dC C
o o
219
In Table 8.6, the experimentally measured values of D are tabulated
in column 2. Values of D*, calculated using equation (8.18) are presented
in column 3. As expected, D* was found to be largely independent of —6 —1
concentration giving a mean value of 3.28 x 10 cm2 s
TABLE 8.6. PDMS-g-46.34% PMMA Diffusion Coefficients at 30°C.
conc/cm3(STP)/cm3(poly) 106D/cm2s~1 106D*/cm2s 1 106Df/cm2s 1
0.147 1.42 3.05 4.29
0.508 1.97 3.32 4.67 0.544 1.95 3.28 4.62 0.749 2.08 3.25 4.58
1.132 2.47 3.38 4.76
2.236 2.80 3.39 4.78
<D*> = 3.28 x 10 6 cm2s 1 ; <Df> =4.62 x 10"6cm2s"1
It should be stressed that the analogy between diffusion in the graft
copolymers exhibiting dual-mode sorption characteristics and diffusion
in conventional glassy polymers should be treated with caution. In the .
simple limiting model for diffusion in glassy polymers, the concentration
of the mobile species, and the concentration of penetrant dissolved in
accordance with Henry's Law, are treated as synonymous quantities. However,
the permeability results indicate the diffusion process in the graft
copolymer membranes is controlled solely through the continuous silicone
rubber phase. This appears to be paradoxical and begs the question of which
of the diffusion coefficients is then representative of the diffusion process.
220
If the diffusion coefficient is recognised as one which controls
the net rate of transfer across the membrane, then it should be defined
as the flux per unit concentration gradient within the continuous phase,
viz.,
3c J = -D_. (8.19)
f 3x
Thus, from a consideration of fluxes,
,* 9 t c j D(c) = D*. = D . — — (8.20) 3c f 3c
and an analogous expression to equation (8.18) may be derived, giving
[ c i D = ~ Df (8.21)
Values of D^ were calculated using equation (8.21) and are tabulated
in column 4 of Table 8.6. D^ was found to be independent of concentration
as expected.
A theoretical value of D . was calculated using equation (3.10); k
the structure factor was esimated from the Higuchi expression. Thus,
P D m = k = -4 (8.22)
p <f> d c c R
The theoretical value of D ., (4.8 x 10 cm2 s ) is in good agreement - 6 2 - 1 with the experimental value of 4.6 x 10 cm s
221
8.2. The Time Lag in Diffusion.
The use of the diffusion time lag in the examination of heterogeneous
polymer systems is not a widely practiced technique. This assertion is
especially true when the solubility of the penetrant in the media deviates
from simple Henry's Law. In this case, the time lag assumes a dependence
on the ingoing pressure (i.e., concentration) which invalidates: the
simple relationship (D = /2/60). However, Paul and Kemp (121) have
shown that provided the roles of the continuous and dispersed phases are
properly accounted for, it is still possible to use the diffusion time
lag constructively.
In the Appendix, an expression for the time lag in diffusion,represent-
ative of the present graft copolymers is derived. In Figure 8.20 the
experimental time lags for the PDMS-g-46.34% PMMA membrane are represented
as the solid symbols; the best fit relationship to equation (A.16) is
shown by the solid line, using three adjustable parameters, namely k , c' D H
and b. The three parameters are also presented in Table 8.7 and for the
purpose of comparison, k , c' and b estimated from the equilibrium sorption D H
isotherm are also included. The agreement is excellent.
The close agreement between the theoretical and experimentally
determined time lags is further illustrated by the dashed curve in —6
Figure 8.9! this was generated using equation ( A.16) with D^ = 4.8 x 10 cm2/s, k = 0.101 cm2(STP)/cm3(poly)cmHg, and k , c' and b from the sorption c D H
isotherm . Although the theoretical curve lies above the experimental
points, this is possibly due to the uncertainty in assigning the value
of D_.
Pressure / crnHg
FIG 8.20 PDMS—G—46.34%PMMA TIME LAG vs PRESSURE PROFILE
223
TABLE 8.7. Dual-Mode Sorption Parameters for PDMS-g-46.34% PMMA/
at 30°C .
Technique (k ) D m H m b
Equilibrium Sorption 0.0845 0.459 0.241
Time Lag 0.0790 0.413 0.269
224
CHAPTER NINE
CONCLUSION
9.1. Graft Copolymers
The present investigation into the transport properties of PDMS-
g-PMMA copolymers represents the third in a series of studies of graft
copolymers in which a glassy polymer (at ambient temperature) is
dispersed within a PDMS matrix. In common with the earlier studies
(92,205), the method of preparation based on 11 initiation by y-radiation"
proved to be both a convenient and effective route to the graft copolymers.
It was found empirically that for graft copolymers of greater than 50%
by volume of PMMA, the sheet structures were not uniform and were
characterised by a laminated structure in which the PDMS-g-PMMA
copolymer was " sandwiched" between a hard crusty exterior of PMMA.
In marked contrast to the earlier studies, the PDMS-g-PMMA copolymers
were translucent rather than opaque, as found with PDMS-g-PS and
PDMS-g-PVAc copolymers suggesting that the PMMA domains are considerably
smaller than the wavelength of light. However, when the samples were
illuminated by a source of intense white light, a " reddish-brown"
tinge was observed. Quantitatively, the intensity of the structural
colour, S, of a heterogeneous medium is given by
S = — — / ( A n ) * n o
225
where r is the particle radius and X the wavelength of the incident
radiation. Provided the refractive indices of the continuous phase
(rio) and the dispersed phase (n 1) are different and the domains are
comparable to the wavelength of light, scattering is observed. Further-
more, the scattering is stronger at the shorter wavelength giving rise
to the " reddish-brown" colouration. The apparent paradox of trans-
lucency, suggesting domains smaller than the wavelength of light, and
scattering suggesting domains larger than the wavelength of light may
be explained by the formation of " domain-clusters" which was also
proposed by Munday (92).
9.2. Graft Copolymer Results.
The examination of polymer morphology by the method of gas transport
proved to be most successful. The steady state permeabilities of the
graft copolymers were in agreement with the Higuchi (168,169) and
Botcher (167) models in which the PMMA domains behaved as simple
impermeable fillers. The deviation from other models was never severe
and in view of the uncertainty in establishing the permeability of pure
PDMS, there was little to choose between the various models. The
eventual selection of the Hignchi model to interpret the permeability
results and diffusion data was a subjective decision.
The permeability of the acetone treated graft copolymers were markedly
lower than the corresponding petroleum ether treated samples and were also
at variance with all the simple models. The lower permeabilities provide
further evidence of possible " lamella" formation of PMMA within the
PDMS matrix as suggested by the electron micrographs.
226
The prima facia case for the " additivity of solubilities" in the
graft copolymers was sustained provided the prior history of the PMMA
domains was accounted for. In this respect, the dual-mode sorption
analysis on the equilibrium sorption isotherms proved enligthtening
and provided a means of separating the history-dependent Langmuir
component from the history-independent Henry's Law species. An alternative
test of the additivity rule, and one which was without recourse to
establishing a sorption model for the dispersed phase was .promising; in
this way, the problem of sample history was surmounted.
Diffusion coefficients determined from the steady state and sorption/
desorption kinetics were in good agreement and suggest the absence of any
time effects. It was hoped that in view of low diffusion coefficients
experienced with the PMMA/propane system that a means of arresting rapid
equilibrium between the continuous phase species and dispersed phase
species may be effected. In this, way, a time-dependent diffusion coefficient
could be introduced. However, the PMMA domains were sufficiently small
to facilitate rapid equilibrium.
The time lag in diffusion formed an integral part of the study and
demonstrated the usefulness of the technique in arriving at the dual-
mode sorption parameters by curve-fitting the time-lag versus pressure
profile. The close agreement between the results obtained by this method,
and the more conventional techniques using the sorption isotherm is a
further indication of the absence of anomalous time effects.
227
9.3. PMMA Results.
The transport and sorption of four simple hydrocarbon vapours in
PMMA formed the second major study in this treatise. The original
intention to study the sorption of propane in a PMMA sheet was impeded
by the low diffusion coefficients encountered with this system. To
surmount the problem, microspheres were prepared which offered a
practical solution. In order to confirm the cogency of. the results
determined by this method, the transport and sorption of ethane in both
the sheet and powder, was studied. Unfortunately, marked differences in
both the diffusion coefficients and equilibrium sorption parameters
were found which cast serious doubts on the propane results. The first
problem to be addressed therefore, was the.possible errors involved in
determining the microsphere dimensions, but this was ruled out with
confidence. Secondly, the balance response time, bed effects and
balance drift were examined using methane and iso-butane. It became
increasingly apparent that the dichotomy between sheet and powder results
was real and that residual solvent in the sheet may be responsible. This
postulate was examined and shown to be true.
9.4. Suggestion for Further Study.
It was found during the course of the present study that several
areas are worthy of further investigation and these are presented below.
A closer examination of the Higuchi model when diffusion into the
domains form the rate-determining step is certainly warranted in the near
future. The PDMS-g-PMMA/iso-butane system may offer a good medium for the
228
study in view of the low diffusion coefficient of iso-butane in PMMA.
The model incorporating reversible immobilisation in the domains proposed
by Tshudy and von Frankenberg (86) may also be useful in the interpretation
of transient sorption and permeation data.
The effect of solvent treatment on graft copolymers in relation to
mechanical and transport properties also deserve further examination.
It has already been shown that " lamella" formation exists and. it would
be enlightening to examine the preferrential orientation of the hetero-
geniety, if any.
Finally, the effect of residual solvent in glassy polymers should be
examined in greater detail. The results in the present treatise
demonstrate that trace solvent in glassy polymers cause sufficient
plasticisation to enhance small scale motions without affecting the
main chain motions. Studies into this area would be of great benefit in
increasing the understanding of polymers below the T .
229
APPENDIX A
The Time Lag in Diffusion for a Heterogeneous Membrane.
The effective time lag for a membrane comprising a continuous phase,
obeying Henry's Law, and a dispersed phase showing characteristic dual-
mode sorption behaviour is presented.
According to the additivity of solubilities, the total concentration
of penetrant per unit volume of membrane is given as follows,
° = CC + CD = kC P + [kDP + < cH ) , b p / ( 1 + b p ) ] (A'1)
where the subscripts C and D refer to the continuous and dispersed phases,
respectively. The concentration c^ and c^, dissolution coefficients,.k^,
and k', and the hole saturation constant (c1)' are defined w.r.t. unit D H
volume of the membrane.
It is also.assumed that the penetrant in the dispersed phase is
effectively immobilised, and the total flux is due solely to the continuous
phase, hence
|f - f (D f. ^ ) (A.2)
3t dx f dx
where D^ is the effective diffusion coefficient of the continuous phase
due to the inclusion of the dispersion.
Integrating equation (A.2) w.r.t. x from x to and w.r.t. t from
0 to t gives
t ft . 3c , 7- .dx.dt = d t X
t 3c V i * c V d t -
o
t 3c D (-7T- ) dt (A. 3) f 3x x o
230
The total flow of gas, through the outgoing face of the membrane
up to time t in the steady state is given by
Q(t) = -ft Dc'
D f h s V d t (A. 4)
Hence, combining (A.3) and (A.4) gives
c(x,t).dx = -Q(t) -9 c c (—7T" ) • dt f Dx X
(A. 5)
Integrating (A.5) w.r.t. x from 0 to / gives
c(x,t).dx.dx = . Q(t) -rfrt Dc'
D _ ( - ) dt.dx , f Dx x o' o (A. 6)
Rearranging,
Q(t) = - c(x,t).dx.dx
but
J - -Df. '!fs Dx
(A. 7)
(A.8)
Thus,
Q(t) = Jt - ? rt
c(x,t).dx.dx (A. 9) o
However, the steady state flux is also given by
0(t) = J(t - 0) (A.10) t-x°
231
where 0 is the effective time lag.
Comparing the equations (A.9) and (A.10), then gives
ft o
c (x).dx.dx x S (A.11)
V c c \ = o
The concentration profile across the membrane is
(cJJ. (x) = (c£)(l - x//) (A. 12)
Since the concentration of penetrant in the continuous phase obeys
Henry's Law, then
(c') (x) = k' P (1 - x//). = k'.p'(x) (A.13) C s G o C
where p'(x) = Pq(1 - x//) (A.14)
Equation (A.14) gives the analogous, hypothetical, pressure profile
across the membrane.
Thus, from equation (A.l)
c (x) = k'p' + k'p' + (ciVbp'/Q + bp') (A.15) s c D H
Substituting (A.15) into (A.11), and integrating gives
0 =-k; ) [ 1 + i k f n y • f w i ( a - 1 6 )
232
where f (y) = y2 + y - (1 + y) + y) ] (A. 17) y ^
and y = bp (A.18) J o
233
APPENDIX B
SAMPLE CALCULATION AND ESTIMATION OF ERRORS
Bli Sample Calculation of an Equilibrium Sorption Concentration and
Diffusion Coefficients for PDMS-g-46.34% PMMA/Propane at 30°C.
Standard experimental parameters:-weight of sample Wl (g) : 0. 2977 + (0.05%)
thickness of sample •e (cm) : o. 108 <+ 1%)
volume of sample Vi (cm3) : o. 2785 (+ 0.5%)
density of sample . pi (g/cm3) : l. 069 (+ 0.1%)
weight of hook 0J2 (g) : o. 0947 (+ 0.1%)
weight of counterweight U>3 (g) : o. 3897 (+ 0.05%)
density of copper p2 (g/cm3) : 8. 980
volume displacement, AV (cm3) = — + — - — = 0.2456 (+ 0.5%) P i P 2 P 2 ~
„ , . AV. x Po x 273.2 x 44.097 x 10 byoyancy correction, B (yg) = .22414 x (273.2 + T) x 76
= 1737p/(273.2 + T)
Experimental conditions:-
charge pressure
ambient temperature
buoyance corrections
Po (cmHg)
T (K)
B (yg)
I 9.79 (+ 0.1%)
: 303.2 (+ 0.1%)
: 56 (+ 1%)
Initial weight reading, R (mg): 15.000 (+1 yg)
Final weight reading, H^ (mg): 15.564 (+ 1 yg)
234
Total weight uptake, M^ (pg) = Rf - R + B = 620 (+ 2p) .
Concentration, c [cm3(STP)/cm3(polymer)]
M x 22414 00
= 44.097 x Vx
= 1.132 (+ 1%)
Solubility, k [cm3 (STP)/cm3(polymer)cmHg]
= c/Po = 0.116 (+ 1%).
The main source of error was found to be the ambient temperature and
better thermostatting control should improve the uncertainties of the
results. The absolute error in c and k was + 1%, though the reproducibility
was found to be better than + %.
Sortpion/desorption kinetics.
The rates of sorption and desorption were followed as a function
of time from which (M/m ) vs. / T and (1 - M. /M ) vs. / T respectively t 00 t CO
were constructed. The gradients for the sorption process and
for the conjugate desorption process are given as
I (s"T) = 3.46 x 10"2 (+1%) s — and
-- -3 IJ (s 2) = 3.13 x 10 (+ 1%) d —
from which
D (cm2/s) = I2 . tt x /2/16 s s = 2.74 X lO-6 (+ 4%)
235
and D (cm2/s) = I 2 . TT X /2/16 d d
= 2.24 x 10"6 (+ 4%)
Thus,
D = (D + D ) /2 s d
= 2.49 x 10~6 (+ 6%)
Alternatively, the time for which I^/M^ =0.5 was determined directly,
from which
t± sorption = 222 (+ 3%) s 2
and t± desorption = 244 (+ 3%) s 2
and D or D, = 0.04919 /2/tt s d —
giving Ds = 2.59 x 10"6 (+ 5%)
and D, = 2.35 x 10~6 (+ 5%) d —
from which
D = (D +DJ/2 s d = 2.47 x 10"6 (+ 7%)
Although the absolute uncertainties in the diffusion coefficients are
large, the reproducibility was often better than + 3%. The larger errors
experienced with the half-time method are mainly due to the uncertainties
in determining the diffusion coefficient using a single point on the
sorption rate curve.
236
B2. Sample Calculation of the Permeability (P), Diffusion Coefficient, (D),
and Solubility (k) from the Transient and Steady State Permeation of
Ethane through PDMS.
Standard experimental parameters!-
Thickness of membrane , / (cm) : 0.09 (+ 1%)
Cross-sectional area of cell , A (cm2) ! 4.39 (+ 2%)
Out-going volume , V (cm3) I 676.4 (+ 0.5%)
Experimental conditions'.
Cell temperature , T (K) ! 303.2 (+ 0.2)
Charge pressure , p0 (cmHg) 10.15 (+ 1%)
Room temperature , T (K) : 295.2 (+ 0.3)
The out-going volume was monitored as a function of time, yielding a rate
of flow in the steady state of,
dp/dt (mmHg/s) = 4.17 x 10~A (+ 0.5%)
Steady state flux, J [cm3 (STP)/cm2s] = ^ . 7 d t /oU RT A
=8.36 x 10~5 (+ 4%) j f>
Permeability, P [cm3(STP)cm/cm2s cmHg)] = — L -po
= 7.42 x 10"7 (+ 5%)
Extrapolation of the steady-state flow rate to (t = 0) gives
237
0 (s) = 255 (+ 2%)
/ 2 -6 and the diffusion coefficient, D (cm2/s) = — = 6.67 x 10 (+ 4%) 0 60 —
The solubility coefficient, k [cm3(STP)/cm3(poly)cmHg]
« P/D0
= 0.111 (+ 7%)
The absolute errors in P, D and k were + 5%, + 4% and + 7%, respectively.
The reproducibility in all three quantities were found to be better than
+ ,2%.
238
APPENDIX C
EXPERIMENTAL DATA
Equilibrium Sorption Data for PDMS/Propane.
The isotherms were found to be linear and were constrained to fit
Henry's Law.
The notations used in Table CI are as follows:
T : Temperature (°C)
p : pressure (cmHg)
c I concentration [cm3(STP)/cm3(polymer)]
c/p= k ! solubility [cm3(STP)/cm3(polymer)cmHg]
Ip.c <k> =
I p 2
Membrane characteristics!
weight : 0.3694 g
thickness ! 0.094 cm
density ! 0.980 g/cm3
TABLE CI. PDMS/Propane Sorption Isotherm Results.
T = 30.0 T = 35.0
P c k P c k
5.02 0.506 0.101 4.98 0.448 0.090 9.98 1.004 0.101 10.01 0.899 0.090
15.29 1.537 0.101 14.99 1.348 0.090 29.95 3.015 0.101 ' 19.98 1.800 0.090
<k> = 0.101 <k> = 0.090
239
TABLE CI (continued).
T = 40.0 T = 45.0 T = 50.0
p c k P c k d c k
4.99 0.403 0. 081 4.99 0.366 0. 073 5.02 0.332 0. 066 10.00 0.805 0. 081 10.00 0.730 0. 073 9.99 0.663 0. 066 15.00 1.212 0. 081 15.02 1.102 0. 073 15.01 0.996 0. 066 20.01 1.621 0. 081 29.81 2.199 0. 074 20.01 1.339 0. 067 30.02 2.440 0. 081 30.02 2.001 0. 067
<k> = 0.081 <k> = 0.073 <k> = 0.067
Transient permeation results for ethane and propane through PDMS are
presented. The notation used in Table C2 and C3 are as follows.
T p
9
p
D k
Temperature ( C) pressure (cmHg) time lag (s) permeability coefficient cm3(STP).cm/cm2.s.cmHg diffusion ceofficient (cm2/s) solubility coefficient [cm3(STP)/cm3(polymer)cmHg]
Membrane and apparatus characteristics.
Area 4.39 cm2
thickness : 0.099 cm outgoing volume*. 676.4 cm3
TABLE C2. Transient Permeation Data for PDMS/Ethane
T P 0 107 P 106 D k
25.0 5.06 152.4 4.02 9.85 0.0408 25.0 10.02 152.4 4.08 9.85 0.0414 25.0 19.96 148.6 4.14 10.1 0.0410 30.0 5.03 140.0 4.03 10.7 0.0375 30.0 10.01 140.3 4.08 10.7 0.0381 30.0 19.97 138.0 4.16 10.9 0.0381 35.0 5.05 138.9 4.06 11.6 0.0348 35.0 10.01 131.6 4.09 11.4 0.0358 35.0 19.96 127.9 4.17 11.7 0.0355 40.0 5.03 118.5 4.06 12.6 0.0320 40.0 10.01 119.8 4.11 12.5 0.0327 45.0 5.01 111.7 4.10 13.4 0.0305 45.0 10.01 110.7 4.11 13.5 0.0302 45.0 19.97 109.5 4.18 13.7 0.0304 50.0 5.05 101.0 4.12 14.8 0.0277 50.0 9.98 104.0 4.15 14.5 0.0286 50.0 19.94 102.0 4.21 14.7 0.0286
TABLE C3. Transient Permeation Data for PDMS/Propane.
T P 0 107 P 106 D k
25.0 1.99 254 7.46 5.90 0.126 25.0 5.00 250 7.53 6.02 0.125 25.0 9.95 246 7.65 6.10 0.125 25.0 19.99 241 7.92 6.25 0.126 30.0 1.98 226 7.38 6.63 0.111
30.0 5.10 230 7.41 6.25 0.113 30.0 10.15 225 7.42 6.67 0.111
35.0 2.02 215 7.21 6.99 0.103 35.0 5.05 205 7.16 7.30 0.098 35.0 9.98 208 7.23 7.22 0.100 35.0 19.97 199 7.44 7.55 0.098 40.0 1.97 196 7.00 7.66 0.091 40.0 5.02 192 7.02 7.81 0.089 40.0 9.98 188 7.09 7.96 0.089 45.0 2.01 179 6.93 8.37 0.082 45.0 5.03 174 6.89 8.62 0.079 45.0 10.02 173 6.96 8.66 0.080 50.0 4.96 152 6.94 9.84 0.070 50.0 10.01 166 6.91 9.06 0.076 50.0 14.98 162 6.95 9.23 0.075 50.0 19.95 161 7.07 9.33 0.075
242
Equilibrium sorption data:
PMMA (sheet)/methane, ethane,
PMMA (powder)/ethane, propane, iso-butane
The isotherms were analysed in accordance with the dual-mode sorption
theory using three adjustable parameters, namely k , c' and b. In d h
cases where no significant curvature of the isotherm was evident, the
equilibrium sorption data were constrained to fit Henry's Law.
The following notation are used in Tables C4-C8.
T
P
c
c/p = k
'H
<k> :
temperature ( C)
pressure (cmHg)
concentration [cm3(STP)/cm3(polymer)]
solubility [cm3(STP)/cm3(polymer)cmHg]
i p-c
Z p 2
Henry's Law solutility coefficient
[cm3(STP)/cm3(polymer)cmHg]
hole saturation constant
[cm3(STP)/cm3(polymer)]
hole affinity constant [(cmHg) x]
Sheet Characteristics.
Area
Thickness
Density
87.95 cm2 -3
3.66 x 10 cm
1.18 g/cm:
Powder Characteristics.
Diameter
Density
0.15 x 10 A cm
1.18 g/cm:
243
TABLE C4. PMMA (Sheet)/Methane Sorption Isotherm Results.
T = 30.0 T = 35.0 T = 40.0
p c k P c k P c k
10.48 0.0484 0. 0046 11.06 0.0396 0. 0036 10.03 0.0274 0. 0027 15.03 0.0655 0. 0044 14.97 0.0580 0. 0039 14.97 0.0469 0. 0031 19.97 0.0866 0. 0043 20.01 0.0749 0. 0037 19.93 0.0578 0. 0029 25.02 0.1088 0. 0043 24.99 0.0956 0. 0038 20.08 0.0593 0. 0030 34.99 0.1562 0. 0045 29.99 0.1165 0. 039 24.97 0.0826 0. 0033 40.84 0.1825 0. 0045 34.99 0.1330 0. 0038 26.15 0.0858 0. 0033
27.54 0.0868 0. 0032 34.97 0.1140 0. 0033
<k> = 0.0044 <k> = 0.0038 <k> = 0.0032
TABLE C5. PMMA (Sheet)/Ethane Sorption Isotherm Results.
T = 30.0 T = 35.0 T = 40.0
p c k
10. 02 0. 1646 0. 0164 20. 03 0. 3708 0. 0185 29. 97 0. 5415 0. 0181 32. 07 0. 5727 0. 0179
<k> = 0.0180
p c k
10.01 0.1489 0.0149 20.02 0.2886 0.0144 25.04 0.3886 0.0155
<k> = 0.0151
p c k
10. 08 0. 0996 0. 0099 20. 03 0. 2368 0. 0118 29. 97 0. 3834 0. 0128 31. 08 0. 3691 0. 0119
<k> = 0.0121
244
TABLE C6. PMMA (Powder)/Ethane Sorption Isotherm Data.
T = 1.0 T = 10.0 T = 20.0
P c c P c c P c c (expt) (calc) (expt) (calc) (expt) (calc]
0. 99 0.129 0.137 1. 00 0.095 0.094 2. 19 0.123 0.125 2. 22 0.285 0.287 2. 24 0.203 0.198 5. 00 0.267 0.267 4. 95 0.565 0.564 5. 04 0.403 0.405 8. 06 0.405 0.405 9. 68 0.948 0.939 6. 65 0.500 0.505 10. 03 0.484 0.487 15. 04 1.271 1.280 9. 73 0.677 0.682 15. 21 0.690 0.683 20. 07 1.554 1.558 10. 15 0.714 0.705 19. 73 0.841 0.839 20. 08 1.588 1.558 15. 55 0.974 0.972 19. 73 0.841 0.839 25. 07 1.773 1.811 20. 01 1.167 1.171 22. 83 0.932 0.940 30. 02 2.065 2.047 25. 04 1.381 1.380 29. 99 1.160 1.158
k = 0.0384; c' = 1.23; u h
b = 0.0879
k = 0.0329; c' = 0.840; k = 0.0227; c' = 0.826; u h u h
b = 0.077 b = 0.0455
T = 30.0 T = 40.0 T = 50.0
P c (expt)
c (calc)
P c (expt)
c (calc)
P c (expt)
c (calc)
2. 12 0.081 0.084 2. 00 0.058 0.055 10.60 0.2008 0.0189 5. 48 0.208 0.204 5. 22 0.141 0.040 19.82 0.364 0.018 7. 11 0.257 0.258 7. 62 0.201 0.200 22.80 0.415 0.018 9. 99 0.346 0.348 9. 95 0.253 0.257 29.99 0.532 0.0177 15. 19 0.499 0.499 15. 33 0.383 0.381 20. 25 0.633 0.633 20. 06 0.489 0.486
25. 00 0.591 0.591 29. 99 0.691 0.695
kD = 0. 0190;c^ = 0.560; kD = 0.' .017; c^ = 0.392; <k> = 0.018 b = 0.0396. b = 0.028
245
TABLE C7: PMMA (powder)/Propane Sorption Isotherm Results.
T = 20.0 T = 30.0 T = 40.0
P c c (expt) (calc)
0. 99 0. 213 0. 216 2. 03 0. 415 0. 395 3. 02 0. 554 0. 536 5. 00 0. 740 0. 766 7. 02 0. 939 0. 959 9. 99 1. 208 1. 203
15. 00 1. 563 1. 557 20. 02 1. 892 1. 878 25. 00 2. 188 2. 180 29. 90 2. 454 2. 468
k = 0.0538; c' = I.OOO; d h
b = 0.196
P c c (expt) (calc)
1. 03 0. 172 0. 167 1. 66 0. 273 0. 252 2. 04 0. 288 0. 298 3. 34 0. 426 0. 436 4. 99 0. 567 0. 582 7. 27 0. 771 0. 754
10. 05 0. 927 0. 937 12. 65 1. 105 1. 093 16. 64 1. 313 1. 316 20. 01 1. 484 1. 495 25. 07 1. 770 1. 756 29. 97 1. 995 2. 001
k = 0.0468; cl 0 0.699! d h
b = 0.200
P c c (expt) (calc)
1. 14 0. 105 0.106 2. 77 0. 231 0.232 5. 65 0. 406 0.412 9. 95 0. 617 0.630 11. 41 0. 718 0.697 15. 11 0. 854 0.854 15. 15 0. 881 0.856 20. 01 1. 024 1.048 24. 97 1. 228 1.235 29. 97 1. 429 1.416
k = 0.0328', c' = 0.548! l/ h
b = 0.125
T = 50.0
p c c (expt) (calc)
1. 23 0. 083 0.079
2. 04 0. 128 0.127
3. 54 0. 206 0.208
7. 03 0. 870 0.371
10. 30 0. 489 0.493
12. 06 0. 564 0.570
15. 04 0. 696 0.676
20. 40 0. 836 0.841
24. 10 0. 958 0.968 29. 92 1. 149 1.143
kD = 0.0258; c = 0.523; » n o '> —
T = 60.0
p c c (expt) (calc)
1. 56 0. 068 0. 067
3. 00 0. 122 0. 121
5. 00 0. 188 0. 189
s- 98 0. 309 0. 315
12. 03 0. 411 0. 406
(—» ui
03 0. 525 0.522
20. 46 0. 644 0. 649
24. 36 0. 760 0. 759
k = 0.0275; c i = o . i n ; l) h
v ... n i ~>r.
246
TABLE C8. PMMA (Powder)/iso-butane Sorption Isotherm Results.
T = 40.0
1.29 0.144 0.145 3.21 0.356 0.338 5.14 0.502 0.511 7.03 0.634 0.664 9.87 0.889 0.872 12.04 1.016 1.018 15.26 1.257 1.218 20.41 1.473 1.511 29.97 2.007 1.999
k = 0.0385; c' = 1.30; d n
b = 0.0616
Transient sorption data:
PMMA (Sheet)/methane, ethane
PMMA (Powder)/ethane, propane iso-butane.
The diffusion coefficients of the various penetrants in PMMA were
determined from the kinetics of sorption (and desorption).
The notations adopted in Tables C9-C13 are as follows.
P c c (expt) (calc)
D, s 1 diffusion coefficient as determined by
kinetics of sorption (cm2/s)
D : Arithmetic mean of sorption/desorption
diffusion coefficients (cm2/s)
< D >
c
i y D. (cm2/s) ni=l 1
concentration [cm3(STP)/cm3(polymer)]
T temperature (°C)
247
D I diffusion coefficient of mobile species m
(D) _ I diffusion coefficient at zero concentration c=0
TABLE C9. PMMA (Sheet)/Methane Transient Sorption Data.
T = 30.0 T = 35.0 T = 40.0
c (expt) 101Q D c (expt) 1Q10 D c (expt) 1Q10 D
0.0484 6.0 0.0580 7.8 0.0469 10.78
0.0655 5.9 0.0956 7.8 0.964 10.77
0.1562 5.5 0.1165 7.0
<D> = 5.8 x 10~10 <D> = 7.5 x 10~10 <D> = 10.78 x 10~10
TABLE C10. PMMA (Sheet)/Ethane Transient Sorption Data.
T = 30.0 T = 35.0 T - 40.0
c (expt) 1011 D e (expt) 1Q11 D c (expt) 1Q11 D
0.1646 3.0 0.1489 3.0 0.2368 6.4
0.3562 1.6 0.2886 3.6 0.3834 5.8
0.5415 2.0 0.3886 3.4
<D> = 2.2 x 10"11 <D> = 3.3 x 10"11 <D> = 6.1 x lO"11
248
TABLE Cll. PMMA (Powder)/Ethane Transient Sorption Data.
T = 1.0 T = 10.0 T = 20.0
c (expt) 1015 D c (expt) 1014 D c (expt) 1014 D s s s
0.3053 7.18 0.683 1.99 0.279 4.49
0.8391 10.15 1.163 2.37 0.352 5.40
0.9372 8.87 0.840 4.49
1.555 10.56
< D > = 9.86 x 10~15 < D > = 2.18 x 10"14 < D > = 4.79 x 10"14 s s s
T = 30.0
c (expt) 1013 5
0.176 1.42
0.201 1.15
0.234 1.15
0.622 1.42
<D r> = 1.29 x 10" 1 3
u
249
TABLE CI2. PMMA (Powder)/Propane Transient Sorption Data.
T = 20.0 c (expt)
0.257 0.420 0.658 0.870 1.242 1.486 1.873 2.353
1 0 1 6 5
9.3 8.1
9.2 11.6
14.4 12.9 15.8 14.9
D = 2.9 x 10 m
-15
(D) n = 6.4 x 10 c=U -16
T = 30.0 c (expt) 1 0 1 5 5
0.168 2.1 0.252 3.3 0.298 2.1 0.368 2.8 0.522 2.9 0.720 3.4 0.788 3.7 0.933 3.5 1.197 3.9 1.513 4.7
D = 7.4 x 10"15, m
(D) n = 18.6 x 10 c=U -16
T = 40.0 c (expt)
0.105 0.340 0.406 0.617 0.811 0.718 0.854 1.055
1015 D
7.4 8.5 9.2
10.6 11.1 8.9
11.1 12.5
D = 19.5 x 10 m
-15
(D) _ = 63.1 x 10 c=U -16
T = 50.0 T = 60.0
c (expt) 1014 D c (expt) 1Q14 Dn s o 0.066 1.9 0.068 5.2 0.163 2.1 0.309 6.1 0.206 2.2 0.525 5.8 0.356 2.1 0.644 5.8 0.449 2.4 0.644 2.4 0.799 2.6 1.150 2.9
D =45.4 x 10~15, D = 73.5 x 10~15, m m
(D) . = 172.3 x 10"16 (D) _ = 430.1 x 10"16 c=U C=U
250
TABLE CI3. PMMA (Powder)/iso-butane Transient State Sorption Data,
T = 40.0
conc (expt)
0.215
0.502
0.862
1.468
<D > = 1.23 x 10 s
1 0 1 6 d
1.25
1.20 1.20 1.27
-16
Equilibrium Sorption Data for PDMS-g-PMMA/Propane.
The isotherms were analysed in accordance with the dual-mode sorption
theory, using three adjustable parameters, namely k , c' and b. Where d h
no significant curvature of the isotherms was evident, the data was
analysed in terms of Henry's Law.
The notation adopted in Tables C14-18 are as follows,
p ! pressure (cmHg)
c I concentration [cm 3(STP)/cm 3(polymer)]
k^ : combined Henry's Law dissolution constant,
[cm 3(STP)/cm 3(polymer)cmHg]
hole saturation constant [cm 3(STP)/cm 3(polymer)]
£ = k p
<k>
hole affinity constant (cmHg
solubility coefficient [cm 3(STP)/cm 3(polymer)cmHg]
i p.ca p 2
volume fraction PMMA
251
TABLE CI4. PDMS-g-10.35% PMMA Equilibrium Sorption Data (<(» = 0.0875).
T = 30.0 T = 40.0 T = 50.0
p c k P c k P c k (expt) (expt) (expt)
2. 30 0.247 0.107 1.27 0.107 0. 084 1.57 0.107 0.068
3. 69 0.375 0.102 2.57 0.212 0. 082 3.48 0.235 0.068
5. 92 0.614 0.104 4.34 0.355 0. 082 3.80 0.265 0.069
8. 37 0.621 0.103 5.18 0.424 0. 082 4.39 0.305 0.069
11. 60 1.190 0.103 5.91 0.481 0. 081 8.45 0.575 0.068
16. 53 1.691 0.102 10.36 0.848 0. 082 11.79 0.788 0.067
20. 37 2.079 0.102 15.03 1.210 0. 08 19.21 1.335 0.070
23. 36 2.377 0.109 20.06 1.609 0. 080 29.69 2.032 0.068
24. 88 2.537 0.102 25.02 2.002 0. 080 35.94 2.447 0.068
29. 24 2.983 0.102 34.03 2.716 0. 079
<k> = 0.102 <k> = 0.080 <k> = 0.069
TABLE C15. PDMS-g-30.67% PMMA Equilibrium Sorption Data (<J> = 0.2687)
T = 30.0 T = 35.0
P c c P C c
(expt) (calc) (expt) (calc)
1.31 0.161 0.163 1.57 0.163 0.162
2.61 0.304 0.307 3.57 0.351 0.351
3.77 0.430 0.327 6.64 0.622 0.623
5.90 0.637 0.637 9.56 0.873 0.871
7.07 0.755 0.749 13.02 1.157 1.158
7.22 0.756 0.763 18.04 1.567 1.566
9.42 0.977 0.970 20.28 1.746 1.746
10.66 1.084 1.085 24.71 2.099 2.101
19.15 1.847 1.859 26.95 2.282 2.280
25.02 2.395 2.389
30.9 2.844 2.844 •
k D = 0.0731, c' = 0.129
H k D = 0. 626, c^ = 0.205,
b = 0.222 b = 0.111
252
TABLE C15 (continued).
T = 40.0
p c c (expt) (calc)
1. 03 0. 098 0. 099
2. 39 0. 226 0. 219
4. 69 0. 405 0. 409
5. 52 0. 473 0. 475
7. 07 0. 592 0. 596
8. 09 0. 675 0. 674
11. 12 0. 903 0. 905
14. 30 1. 144 1. 143
16. 02 1. 282 1. 272
20. 59 1. 607 1. 611
22. 99 1. 785 1. 788
27. 90 2. 151 2. 150
k = 0.0731, c' = 0.129 u h
b = 0.222
T = 45.0
p c c (expt) (calc)
1. 09 0. 088 0. 090
3. 27 0. 265 0. 259
5. 19 0. 405 0. 400
7. 06 0. 516 0. 532
9. 07 0. 673 0. 670
11. 74 0. 855 0. 851
14. 21 1. 020 1. 015
18. 09 1. 250 1. 296
21. 23 1. 481 1. 472
23. 58 1. 636 1. 624
29. 97 2. 025 2. 033
36. 01 2. 419 2. 417
k = 0.0626, c' = 0.205 L) H
b = 0.111
T = 50.0
p c c (expt) (calc)
1. 21 0. 093 0. 089
2. 39 0. 164 0. 170
4. 20 0. 291 0. 289
8. 75 0. 578 0. 574
10. 26 0. 663 0. 666
12. 00 0. 770 0. 770
20. 31 1. 262 1. 264
25. 00 1. 541 1. 539
33. 13 2. 014 2. 014
k = 0.0578, c' = 0.117,
D H
b = 0.158
TABLE C16. PDMS-g-39.76% PMMA Equilibrium Sorption Data (<|> = 0.3541).
T = 30.0 T = 35.0 T = 40.0
(expt) (calc)
1. 01 0.144 0.140
2. 05 0.265 0.266
5. 01 0.574 0.575
8. 02 0.852 0.854
12. 01 1.205 1.200
15. 01 1.449 1.452
20. 02 1.863 1.863
25. 42 2.296 2.300
29. 99 2.673 2.666
34. 47 3.021 3.024
k = 0.0784, c' = 0.367, D H
b = 0.197
(expt) (calc)
1. 51 0.179 0.717
2. 65 0.291 0.287
4. 02 0.415 0.417
5. 47 0.546 0.547
7. 03 0.675 0.681
9. 66 0.895 0.896
15. 13 1.320 1.322
20. 26 1.714 1.707
27. 20 2.220 2.218
35. 87 2.844 2.847
k = 0.0707, cl = 0.372, d h
b = 0.138
(expt) (calc)
1. 19 0.123 0.117
2. 45 0.238 0.233
5. 19 0.464 0.467
8. 99 0.759 0.765
12. 27 1.005 1.008
17. 26 1.367 1.363
21. 29 1.641 1.642
22. 08 1.702 1.696
30. 07 2.232 2.235
k D = 0 .064, c^ = 0.422
b = = 0. 090
T = 45.0
p c c (expt) (calc)
2.02 0.176 0.177
4.73 0.381 0.384
8.80 0.662 0.663
11.98 0.877 0.869
16.57 1.161 1.56
20.00 1.354 1.365
30.02 1.963 1.967
36.05 2.329 2.325
k.. = 0.058, c' = 0.282 d rl
b = 0.134
T = 50. 0
P c c (expt) (calc)
1. 44 0.110 0.108
3. 05 0.223 0.221
5. 00 0.355 0.352
5. 00 0.350 0.352
8. 75 0.585 0.589
11. 37 0.749 0.749
15. 04 0.966 0.968
18. 49 1.165 1.171
23. 45 1.470 1.458
34. 99 2.113 2.116
k_ = 0.056, c' = 0.215 1j h
b = 0.103
254
TABLE C17. PDMS-r-46.34% P M M A Equilibrium Sorption Data (* = 0.4177).
T = 30.0 T = 35.0 T = 40.0
p c c (expt) (calc)
0.81 0.147 0.143
1.93 0.312 0.309
3.57 0.508 0.514
3.83 0.544 0.544
5.67 0.749 0.744
7.23 0.906 0.902
9.79 1.132 1.149
14.01 1.541 1.538
20.04 2.082 2.073
21.84 2.236 2.231
29.97 2.928 2.935
k = 0.085, cl = 0.459 u
b = 0.241
T = 45.0
p c c (expt) (c ale)
1. 36 0.119 0. 118
3. 71 0.300 0. 301
4. 86 0.382 0. 384
7. 09 0.540 0. 538
11. 72 0.838 0. 838
14. 88 1.037 1. 033
21. 95 1.451 1. 455
24. 41 1.597 1. 599
29. 99 1.925 1. 922
k = 0.056, c' = 0.302 l) h
b = 0.183
p c c (expt) (calc)
0. 61 0.079 0.080
1. 52 0.191 0.185
2. 90 0.322 0.326
4. 92 0.507 0.510
8. 28 0.788 0.786
10. 09 0.931 0.928
15. 24 1.316 1.316
24. 26 1.969 1.972
29. 90 2.379 2.377
k D = 0. 070, c R = 0.321
p c c (expt) (calc)
2. 48 0.189 0.192
3. 07 0.233 0.233
4. 78 0.350 0.348
7. 03 0.494 0.492
10. 03 0.681 0.675
15. 07 0.953 0.970
18. 11 1.147 1.145
20. 01 1.258 1.253
25. 51 1.570 1.562
29. 83 1.798 1.804
k = 0.' 055, c' = 0.022, D H
b = 0.140
p c c (expt) (calc)
0. 71 0.080 0.079
1. 69 0.172 0.178
3. 74 0.364 0.358
4. 95 0.452 0.455
9. 04 0.756 0.757
12. 16 0.977 0.973
15. 44 1.191 1.194
20. 47 1.525 1.526
24. 50 1.786 1.788
29. 99 2.143 2.142
k = 0.063, c' = 0.302
d n b = 0.183 b = 0.213
T = 50.0
255
TABLE C18. PDMS-g-51.45% PMMA Equilibrium Sorption Data (j> = 0.4682)
T = 30.0 T = 35.0 T = 40.0
(expt) (calc) (expt) (calc) (expt) (calc)
1. 01 0.176 0.164 1.00 0.136 0.130 1. 01 0.120 0.117
3. 01 0.431 0.430 3.01 0.350 0.354 3. 11 0.329 0.327
5. 28 0.680 0.682 5.00 0.546 0.546 5. 03 0.490 0.496
7. 03 0.853 0.856 5.01 0.545 0.547 7. 09 0.660 0.663
10. 06 1.126 0.135 7.02 0.735 0.724 10. 00 0.890 0.880
15. 02 1.559 1.558 10.00 0.956 0.966 15. 03 1.232 1.231
17. 17 1.734 1.734 15.01 1.349 1.345 24. 95 1.881 1.877
20. 01 1.964 1.962 20.22 1.716 1.718 29. 99 2.193 2.193
24. 99 2.365 2.335 25.02 2.052 2.053
29. 71 2.722 2.720 29.99 2.398 2.394
36. 03 3.197 3.205 36.03 2.800 2.803
k = 0.074, c' = 0.627, k = 0.065, c' = 0.545 D H D H
b = 0.163 b = 0.136
k = 0.0595, c' = 0.524 D H
b = 0.120
T = 45.0 T = 50.0
P c c P c c (expt) (calc) (expt) (calc)
1.01 0.104 0.102 0.99 0.087 0.087
3.02 0.271 0.277 3.01 0.231 0.242
5.02 0.433 0.429 5.07 0.384 0.381
6.20 0.512 0.514 7.00 0.504 0.502
10.94 0.831 0.830 9.99 0.692 0.679
15.00 1.094 1.085 15.00 0.953 0.960
20.36 1.410 1.412 20.0 1.225 1.230
25.02 1.680 1.692 24.97 1.492 1.494
29.99 1.987 1.987 29.99 1.757 1.757
36.01 2.347 2.347 36.01 2.074 2.070
k p = 0 .058, c' h
= 0.306 k D = 0 •051, c' = 0.287
b = 0. 167 b = 0. 149
256
TABLE CI9. PDMS-g-24.14% PMMA* Equilibrium Sorption Data.
T = 30.0
p c c (expt) (calc)
0. 99 0.125 0.126
2. 02 0.243 0.244
5. 00 0.556 0.554
6. 99 0.751 0.750
9. 99 1.041 1.039
15. 00 1.513 1.511
20. 00 1.975 1.977
25. 00 2.435 2.441
30. 02 2.909 2.905
34. 95 3.362 3.361
k = 0.092, cA = 0.167
d h
b = 0.266
T = 45.0
T = 35.0
p c c (expt) (calc)
0. 99 0.106 0.104
2. 02 0.209 0.207
5. 02 0.492 0.490
7. 02 0.665 0.670
10. 00 0.930 0.929
15. 04 1.355 1.356
20. 01 1.773 1.768
22. 66 1.986 1.986
29. 97 2.576 2.582
32. 12 2.761 2.756
k D = 0 .079, c'
n = 0.249
b = = 0. 113
T = 50.0
T = 40.0
p c c (expt) (calc)
0. 99 0.092 0.093
2. 00 0.183 0.182
5. 09 0.436 0.438
7. 03 0.593 0.592
10. 02 0.823 0.823
15. 02 1.201 1.201
20. 03 1.575 1.574
25. 00 1.939 1.941
30. 02 2.311 2.311
34. 99 2.677 2.676
k = 0.073, c' = 0.153 D H.
b = 0.158
p c c (expt) (calc)
1. 00 0.086 0.087
2. 00 0.162 0.165
5. 05 0.392 0.387
7. 00 0.528 0.524
9. 96 0.732 0.731
10. 00 0.736 0.734
19. 94 1.408 1.424
24. 99 1.773 1.774
30. 02 2.136 2.122
34. 85 2.453 2.456
k D = 0 .069, c^ = 0.051
b = ; 0. 554
p c c (expt) (calc)
1. 00 0. 074 0. 074
2. 00 0. 141 0. 144
5. 02 0. 347 0. 347
6. 77 0. 469 0. 460
9. 98 0. 657 0. 664
15. 00 0. 977 0. 979
20. 01 1. 287 1. 291
25. 00 1. 611 1. 600
34. 95 2. 210 2. 214
k d = 0.061, c^ = 0.082,
b = Q.,179
257
Transient permeation results for propane through PDMS-g-PMMA are
presented . The notation used in Tables C19 to C27 are as follows.
T *. Temperature (°C)
p : pressure (cmHg)
0 : time lag (s)
P : permeability coefficient
[cm 3(STP)cm/cm 2 s cmHg]
D ! diffusion coefficient (cm 2/s)
k ! solubility coefficient
TABLE C20. Membrane and Apparatus Characteristics.
Sample Area/ Thickness/ Outgoing cm 2 mm volume/cm 3
PDMS-g-10.35% PMMA 4.39 0.94 678.7
PDMS-g-30. 67% PMMA 4.15 1.02 680.3
PDMS-g-39.76% PMMA 4.39 1.04 677.9
PDMS-g-46.34% PMMA 4.39 1.08 680.7
PDMS-g-51.45% PMMA 4.39 1.07 683.9
PDMS-g-24.14% PMMA* 4.39 0.94 673.1
PDMS-g-32. 28% *
PMMA 4.39 0.91 680.5
TABLE C21. PDMS-g-10.35% PMMA Transient Permeation Data.
7 - 6 -T P •0 10 P 10 D k
30.0 1.14 391 5.50 3.77 0.1A6
30.0 11.67 358 5.72 A.11 0.139
35.0 6.29 338 5.A8 A. 35 0.126
35.0 11.2A 329 5.58 A.A8 0.125
AO. 0 2.3A 331 5.A3 A.A5 0.122
AO. 0 20.56 297 5.62 A.96 0.113
AA.5 5.99 29A 5.30 5.01 0.106
AA.5 10.66 286 5.34 5.1A 0.10A
50.0 2.22 282 5.20 5.23 0.099
50.0 9.7A 26A 5.23 5.A9 0.096
TABLE C22. PDMS-g-30.67% PMMA Transient Permeation Data.
7 - 6 -T P 0 10 P 10 D k
30.0 2.31 699 A.18 2.A8 0.168
30.0 11.52 601 A. 22 2.89 0.1A6
35.0 2.66 603 A.11 2.87 0.1A3
35.0 11.16 538 A.15 3.22 0.129
AO. 0 A.25 532 A. 05 3.26 0.12A
AO. 0 15.25 A8A A. 08 3.59 0.114
50.0 3.28 A39 3.98 3.95 0.101
50.0 11.23 A16 3.96 A. 16 0.095
TABLE C23. PDMS-g-39.76% PMMA Transient Permeation Data.
T P 0 10 7 P 10 6 D k
30.0 4.13 915 3.19 1.97 0.162
30.0 12.60 816 3.22 2.21 0.146
35.0 2.47 880 3.12 2.05 0.152
35.0 6.09 803 3.15 2.25 0.140
45.0 5.42 657 3.06 2.74 0.111
45.0 20.03 573 3.14 3.15 0.099
50.0 5.30 584 3.04 3.08 0.098
50.0 13.31 547 3.06 3.29 0.093
TABLE C24. PDMS-g-46.34% PMMA Transient Permeation Data.
T P 0 10 7 P 10 6 D k
30.0 5.07 1034 2.89 1.88 0.154
30.0 18.20 823 2.98 2.36 0.127
35.0 5.74 902 2.86 2.16 0.133
35.0 12.22 804 2.89 2.42 0.119
40.0 5.35 815 2.83 2.39 0.119
40.0 17.54 685 2.86 2.84 0.101
45.0 11.25 659 2.81 2.95 0.095
45.0 14.10 638 2.81 3.05 0.092
50.0 6.27 629 2.77 3.09 0.089
50.0 11.51 591 2.77 3.29 0.084
260
TABLE C25. PDMS-g-51.45% PMMA Transient Permeation Data.
T P 9 10 7 P 10 6 D k
30.0 5.00 1291 2.51 1.47 0.169
30.0 14.99 1059 2.58 1.80 0.143
35.0 5.03 1138 2.49 1.68 0.149
35.0 9.42 1032 2.51 1.85 0.136
40.0 4.97 971 2.48 1.97 0.126
40.0 15.08 848 2.49 2.25 0.111
45.0 4.95 901 2.45 2.12 0.116
45.0 15.03 765 2.46 2.49 0.100
50.0 5.00 784 2.44 2.43 0.100
50.0 15.47 693 2.43 2.75 0.088
TABLE C26. PDMS-g-24.14% PMMA* Transient Permeation Data (Unannealed).
, 7 - 6 -T P 0 10 P 10 D k
20.0 4.97 698 4.91 2.11 0.232
20.0 10.02 607 4.91 2.42 0.202
25.0 4.97 603 4.71 2.44 0.193
25.0 9.98 553 4.77 2.66 0.179
30.0 4.94 563 4.72 2.61 0.181
30.0 11.95 497 4.76 2.96 0.161
35.0 9.96 450 4.65 3.27 0.142
35.0 14.94 428 4.68 3.43 0.136
40.0 9.97 406 4.58 3.63 0.126
40.0 14.96 387 4.59 3.81 0.121
261
TABLE C27. PDMS-g-24.14% PMMA* Transient Permeation Data (Annealed at 50°C).
T P 0 io 7 P 10 6 D k
30.0 1.88 668 3.55 2.20 0.161
30.0 10.09 606 3.56 . 2.43 0.147
35.0 5.06 590 3.58 2.49 0.143
35.0 14.97 547 3.57 2.69 0.133
40.0 5.01 519 3.49 2.84 0.123
40.0 14.99 487 3.55 3.02 0.118
45.0 4.99 469 3.48 3.14 0.111
45.0 15.02 432 3.57 3.41 0.105
50.0 5.08 430 3.57 3.43 0.104
50.0 10.12 364 3.49 4.04 0.086
TABLE C28. PDMS-g-32.28% PMMA* Transient Permeation Data (Unannealed).
T P 0 10 7 P 10 6 D k
30.0 4.99 769 3.12 1.79 0.174
30.0 9.91 716 3.09 1.92 0.161
30.0 14.99 662 •3.18 2.09 0.152
35.0 5.00 702 3.01 1.97 0.152
35.0 10.00 650 2.86 2.12 0.182
35.0 14.99 631 2.81 2.19 0.128
262
TABLE C29. PDMS-g-32.28% PMMA* Transient Permeation Data (Annealed at 50°C).
T P 0 10 7 P 10 6 D k
30.0 5.05 886 2.34 1.56 0.150
30.0 10.01 817 2.35 1.69 0.139
35.0 4.85 780 2.45 ]. 77 0.138
35.0 10.00 721 2.46 1.91 0.129
40.0 5.03 672 2.39 2.05 0.117
40.0 9.98 648 2.47 2.13 0.116
40.0 14.93 576 2.41 2.40 0.100
45.0 5.00 584 2.34 2.36 0.992
45.0 10.02 557 2.39 2.47 0.968
50.0 5.02 504 2.41 2.73 0.883
50.0 10.04 488 2.42 2.82 0.858
TABLE C30. Specific Free Volume of Polymers at 25°C.
Polymer - L /
SFV _ g cm 3
( 5 W 2 -1
cm^ s
< V c - o '
kJ mol 1
Ref.
Poly(ethylene) 4.5 6.7 x 10" 7 55.8 203
Natural Rubber 4.5 1.96 x 10" 7 39.9 202
Polystyrene 6.1 1 x 10" 1 1 55.0 92
Poly(carbonate) 6.7 -12
2.5 x 10 66.6 71
Poly(methyl methacrylate) 7.9 1.9 x 10~ 1 7 86.5
TABLE C31. Transport Parameters of Various Gases and Vapours in PMMA at 30°G.
Gas Diameter/A e/k L n ( 5 ) c = 0
kJ mol
LnS Li
Lnk D (AH ) _ s c=0 Ref.
He 2.65 10 -17.1 21.3 -3.54 +1.72 82
o 2 2.92 120 -19.1 25.6 -4.79 +1.97 81,82
N 2 3.15 95 -21.1 32.9 -2.48 -6.9 82
H 2 O 3.10 -17.4 42.4 207,208
C0 2 3.23 189 -19.2 44.1 -2.02 -4.10 -30 82,83
CHI,A 3.81 148 -21.3 49.2 -5.43 -25.6
C 2 H 6 4.38 220 -24.5 81 -4.02 -31.4
C 2 H 6 4.38 220 -29.7 57 -3.18 -3.96 -32.5
C 3H8 5.24 255 -33.9 86.5 -1.68 -3.06 -35.2
CZ,H10 ' 5.82 271 -36.6 -2.13 -3.3
a
b
c
measurements determined on the plane sheet
measurements determined on the solid sphere
results at 40°C only
264
TABLE C32. PDMS-g-46.34% PMMA Sorption Kinetics at 30.0°C.
p/cmHg ,cm3(STP)
conc/ o f _ cm 3(polymer)
10 6 D/cm 2 s" 1
0.81 0.147 1.42
3.57 0.508 1.97
3.83 0.544 1.95
5.67 0.749 2.08
9.79 1.132 2.49
21.84 2.236 2.80
TABLE C33. PDMS-g-46.34% PMMA Time Lag Data at 30.0°C.
P/cmHg 0/min
0.47 20.2
0.99 19.7
1.85 19.0
2.35 17.9
3.00 17.6
3.95 16.9
5.07 16.2
6.52 15.3
7.93 15.1
8.73 14.9
8.99 14.6
11.07 14.4
12.94 13.8
14.14 13.4
16.00 13.1
18.20 12.7
20.98 12.8
25.44 11.8
29.50 11.5
(kJ = 7.91 x 10 2 , (c') = 4.13 x 1 0 _ 1 , b = 0.268 D m H m
266
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