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Statics and Dynamics of the “Liquid-” and “Solidlike”
Degrees of Freedom in Lightly Cross-Linked Polymer Networks
S. Panyukov, I. Potemkin
To cite this version:
S. Panyukov, I. Potemkin. Statics and Dynamics of the “Liquid-” and “Solidlike” Degrees of Freedom
in Lightly Cross-Linked Polymer Networks. Journal de Physique I, EDP Sciences, 1997, 7 (2), pp.273-
289. �10.1051/jp1:1997145�. �jpa-00247328�
Statics and Dynalnics of the "Liquid-" and "Solidlike" Degrees
of Freedoln in Lightly Cross-Linked Polylner Networks
S.V. Panyukov
(~>*)and
I.I. Potemkin(~)
(~) Lebedev Institute of
Physics,
RussianAcademy
ofSciences, Moscow, 117924,
Russia (~)Physics Department,
Moscow StateUniversity, &ioscow,
II7234,
Russia(Received
29May
1996, revised 30August
1996, accepted 25 October1996)
PACS.82.
70.Gg
Gels and solsPACS.62.20.Dc
Elasticity,
elastic constantsPhCS.61.4I.+e
Polymers, elastomers,
andplastics
Abstract. The
density-density
correlationfunction,
that determines theangular depen-
dence of thescattering intensity,
is calculated forstrongly
deformed,lightly
cross-linkedpolymer
networks. The
replica
variant of the tube model is used to take into account theentanglement
effects. It is shown that the contribution ofthermally
driven(annealed) density
fluctuations to this correlation function is small with respect to the contribution of frozen-in(quenched)
fluc- tuations. We also calculate the free energy functional for such "soft"solids, taking
into accountliquid- as well as solid-like
degrees
of freedom at different spatial scales. Thedynamics
of the"abnormal
butterfly
effect" istheoretically
studied.1. Introduction
"Soft'" solids materials that could be deformed
significantly
withoutrupturing.
In the last few years an interest in these materials hasgreatly
increased. Sometypes
ofpolymer
networks(rubbers, gels)
and also melts ofentangled polymer chains,
studied at short times after theirdeformation,
areexamples
of such materials. Thephysical picture
of mechanical deformations of such substances isessentially
different at differentspatial
scales. Atlength
scalesgreater
than the mesh size of the
polymer
network(or entanglement quasi-network
of a meltiii),
these substances behave as usual elasticsolids,
but at shorterlength
scalesthey
exhibitproperties
ofpolymer liquids. Therefore,
for anadequate description
of elasticproperties
of the networks and the melts one has to take into consideration bothliquid
and solid-likedegrees
of freedom.In
Flory's
classicaltheory
ofelasticity
[2jonly
the solid-likedegrees
of freedom contribute to the entropy of the network.According
to thistheory
theisointensity
lines of thescattering
observed in small
angle
neutronscattering (SANS) experiments [3-7]
on thesamples subjected
to an uniaxial tension should be
ellipses.
Such curves have indeed been observed at short times in both melts and networks after the instantaneousstretching [4,5j. Later, however, they
transform into
butterfly-shaped
curves with apeak
in the direction of the networkstretching (the
so-called abnormalbutterfly effect).
The neutron
scattering intensity
isproportional
to the Fourier component of thedensity-
density
correlation functionSq
=
(pap-q).
This functiongives explicit
information about(*)
Author forcorrespondence (e-mail: panyukovfl lpi.ac.ru)
©
Les(ditions
dePhysique
1997liquid
and solid-likedegrees
of freedom at differentspatial
scales R(or
wave vectors q r-R~~).
In contrast to usual
polymer liquids,
where there areonly, thermally
driven(annealed) density
fluctuations;
inpolymer
networks there are also frozen-in(quenched)
fluctuations atlarge spatial
scales R. The relative roles of bothtypes
of fluctuations have been discussedintensively
in the literature
[8-16j.
In[8-1ii
it was demonstrated that the consideration ofonly
annealed fluctuations leads tobutterfly patterns
with maxima in the directionperpendicular
to thestretching
direction(normal butterfly patterns).
In[12j
anattempt
toexplain
the abnormalbutterfly
effect as a consequence of annealeddensity
fluctuations has been initiated on the basis ofphenomenological elasticity theory
ofweakly
deformedpolymer
networks. Onukiproposed
a
perturbation theory
to thedescription
ofpoint-like
defects frozen-induring
thepreparation
process of the networks[13,14j.
Thistype
ofquenched
fluctuations was shown to lead to theabnormal
butterfly
effect. The relative role of annealed andquenched
fluctuations instrongly deformed, phantom polymer
networks was studied in[is,16j.
The purpose of this work is to construct a
microscopic theory
to describe annealed andquenched density
fluctuations instroilgly
deformedpolymer systems
within the framework of theentanglement quasi-network
model. The theoreticaldescription
of bothlightly
cross-linkedpolymer
networks whereentanglement
effects areessential,
andpolymer
melts studied at small times after their deformation isproposed.
The traditionalapproach
to thedescription
of the solid-likedegrees
of freedom uses the Landau'selasticity theory iii],
which is based on the ex-pansion
of the free energy of a solid in terms of thedisplacement
vector u. This vector defines thedisplacement
of thepoint
of abody
withrespect
to itsposition
in thespatially homoge-
neous, "undeformed" state.
Unfortunately,
thisapproach
ishardly applicable
to thedescription
ofstrongly
deformedpolymers,
because in this case the strain tensor u~u =1/2(V~itu
+Vuu~
is not small. In order to overcome this
problem,
we take as a "undeformed" state an essen-tially anisotropic
state of theailinely
stretchedpolymer
network. Thedisplacement
vector udescribes
only
the solid-likedegrees
of freedom of the network due to thedisplacements
of the cross-links relative to theirpositions
in the ailine state. Theliquid-like degrees
of freedom are describedby
the monomerdensity c(x)
of the network subchains.Notice,
that onmacroscopic length
scales the deformations of the solid arealways ailine,
so that thelong-wave components
of the strain tensor are small and can beadequately
modeledby
the Gaussianapproximation.
In Section I of this paper we introduce the tube model which
desiribes
the effect ofen-
tanglements
instrongly
andnonuniformly
deformedpolymer
networks. In Section 3 we use this model to calculate theGinzburg-Landau
functional(Eq. (17))
for such"two-component"
systems,
whichdepends
on both the "elastic" deformation tensor and the"liquid" component
of thedensity.
The source of thequenched
fluctuations is shown to be the random internalstresses due to the
irregularities
in the chemical structure of the network. Thedynamics
ofthe occurrence of the "abnormal
butterfly
effect" ispursued
in Section 4 in the framework ofthe
Ginzburg-Landau
free energy. We summarize our mainpredictions
in Section 5. Readers who areonly
interested in our final results andcomparison
withexperiments
can focus theirattention
primarily
on this section.2. Model of the
Lightly
Cross-LinkedPolymer
NetworkThe subchains of the
lightly
cross-linkedpolymer
networks arestrongly entangled
andfrag-
ments
thereof,
which areentangled
with eachother,
form the so-calledentanglement quasi-
networkiii.
To describe the elasticproperties
of suchsystems,
theprohibition
of the cross-over of thesefragments (topological constraints)
has to be taken into account. Webegin
our con-sideration with the
study
of the undeformed network in thepreparation conditions,
which is madeby cross-linking
linear chains in the melt. Forsimplicity,
weneglect
the chain-endeffects,
and
replace
thepolymer
networkby
asingle strongly entangled
chain of N monomers where thedegree
ofpolymerization
N tends toinfinity
N ~ cc. Similar to the de Gennes' modeliii,
each
fragment
of the network chain can be considered asplaced
into an effective tube of the diameterr-
aN/~~,
which is formedby
theneighboring
in spacefragments
of the chain. Herea is the monomer
size,
andN~
is the average number of monomers between twoneighboring
entanglements.
Forsimplicity,
we alsoneglect
thecross-linking effects,
except the fact that these effectsprohibit
the diffusion of the chainalong
the tube. In the context of our model the network"topology"
iscompletely
characterizedby
theposition
of the tube: we say that two chains with the monomer coordinates(x1°) is))
and(R(s)) is
is an arclength
of thechain,
0 < s <
N)
are considered to haveequivalent "topology",
ifthey
are both contained in acommon tube.
Thus,
we can describe thetopology
of the networkby specifying
the coordi-nates
(R(s))
of one of the chains in the tube. In the literature[18j,
it is more conventional to describe the tubeby
the coordinates($i(@))
of the center of this tube(the primitive path).
Clearly,
these coordinates can be foundby smoothing
of the functionR(s)
at scales sr-
N~
and
by changing
theparameterization
s ~ i=
s/N~ jig].
Thetopological
constraints selectonly
those chain conformations from the conformational set of thephantom
network that are contained in the tube. Thistype
of constraints can berepresented by introducing
an additional factor~
~~~~ ~l
~ ~~~/ t~ ~~~~~lNl~~~~~
~~~
into the statistical
weight
of thephantom
network[19j.
This factor offers a contribution to thepartition
function of the networkonly
if(x1°1(s) R(s)(
<aN/~~,
thatis,
when thefragments
of the chain are enclosed in thegiven
tube. Constant C in(ii
is estimated on the basis ofsimple scaling
assessments[20j:
the free energy of the chain in a tube of di-ameter
aN/~~
isgiven by AF/T
mN/N~.
On the otherhand, according
toii ), AF/T
m(N/N~)C ((x(°I R)~) la~N~
mCN/N~;
therefore we find C m i. In what follows we shalluse the
equality
C e i as the definition of theparameter N~
for our model. Forsimplicity
weassume that
polymer
net~.ork in itspreparation
conditions(unswollen)
isincompressible
withthe average monomer
density p(°I Collecting together
all above mentionedfactors,
we can write thepartition
function of thenetwork,
thetopology
of which is characterizedby
the set of coordinates(R(s)),
as theintegral
over all the conformations of the chainz(o) j~j
~
~~jo) z(oj ~joj
~(~)
/
'
where
N
Z(°) (x1°), Rj
= bIds
b(x1°) x1°) (s))
p1°1o
'~
k(oi (~j
2j~io) (~) R(~)j2
~ ~~~
/~~
a
~
a2Nj
~~~~
Here the dot in
k1°)
denotes the differentiation withrespect
to s. The b-function in(3)
accounts for the condition of theincompressibility. Notice,
that for undeformed network the modelunder consideration is identical to the tube model
by
Edwards[18j.
The difference appears when we consider the deformation of the network. In thedescription
of the network deformedby
an amountl~ along
the coordinate axis~J = x,y,z with
respect
to the condition of itssynthesis
we shall use the fact that networktopology
could not bechanged
in the processes of the deformation. This means that thetopological
restrictions in the deformed networkshould be described
by
the samedelta-function, equation (ii,
as for undeformed network. The coordinatesx(°I
in thisequation
can be
expressed throigh
the coordinates ofx ofthe deformed networkby
the relation~il
=
(x~ it~(A *x(°)))/l~.
Here the vector A
*x1°1
with the coordinatesl~xi~
describes the ailine deformation of thenetwork,
and thedisplacement
vector u takes into consideration the deviation from the ailine behavior.Substituting
the above relation intoequation (ii
we observe that the effectivediameter of the tube
affinely changes
with thestretching
of thenetwork,
as a result of the invariance oftopological
restrictions withrespect
to thegeneral
coordinate transformationx(°)
~ x = A *x1°)
+u(A
*x(°)). (4)
The
partition
function of the deformedpolymer network,
thetopology
of which is charac- terizedby
the coordinates(R(s)),
can be written asZ
(x(°I, Rj
=/DUDpZ x1°1, R,
u,pj
,(5)
where we take into consideration the fluctuations of the vector u as well as of the
density p(x),
N
Z
x1°1, R,
u,pj
=/Dx
b ds b(x x(s)) p(x)
0
N ~
x exp
Ids
~~~~ B/dx p~(x)
a 0
~ ~~
~~~~~~ ~~~~ ~~~)~ ~~~~~~~~
~~~~
o
The last
integral
in thisexpression gives
the contribution of the tube to the totalpartition function,
the averageposition
of thetube,
A*k
+u
(see Eq. (4)
for the definition of*),
and its
diameter, aNll~l~,
deformailinely
with thestretching
of the network. The monomer-monomer interaction in
equation (6)
is describedby
the second virial coefficient B. Thehigher
order terms in the virial
expansion
can beneglected only
for smallenough
monomerdensity,
i.e., in semidilute
regime.
,
It is well-known that in semidilute
polymer
solutions the(critical) density
fluctuations arestrong
on scales smaller than the correlation radius( [ii,
and here the uiean-fieldapproach
breaks down.Nevertheless,
these fluctuations can be taken into account within the framework of the mean fieldtheory
if the system is described in terms of blobs of size(,
eachcomprising
g monomers
[ii.
Whenapplying
these ideas to thedescription
of apolymer network,
we facethe formal
problem
that thenumber, N/g,
of the chain "monomers"(blobs)
in theexperi-
mental conditions is different from the number N of constituent monomers in thepreparation
conditions. This
precludes
a directapplication
of the above described model to thescaling description
of the swollenpolymer
network.However,
thisproblem
can be overcomeby going
to the old structural units
(monomers)
with renormalized parameters instead of de Gennes' blobs. Whendealing
with thespatial
scaleslarger
than the correlation radius(,
each blob canbe
formally
treated as a Gaussian chaincomprising
of g monomers, each of which is charac- terizedby
the renormalizedparameters:
the size h =(/g~/~
and the virial coefficient 11. The latter can be calculated from thefollowing
conditionz e
ljg~/~h~~
1 1(7)
for the well-known
expansion
parameter z introduced in theperturbation theory
of apolymer
chain
[21j.
The secondequality
is correct in thestrongly fluctuating
semidilute solutionregime,
where there are no smallparameters.
For such asolution, using explicit expressions (
=
alb~~@
and g
=
1b~5@ [lj,
one findsh =
alb~~/~, lj
=
a~lb~&, (8)
where 16 =
1~3
is the volume fraction of thepolymer
insolution,
and I is theswelling
coeffi-cient. We thus conclude that the
polymer
network swollen in agood
solvent can be describedby: I) substituting
a for h in the term ofequation (6) containing
the derivative over s andit) renormalizing
the interaction coefficient inequation (6) according
toequation (8).
3. Free
Energy
FunctionalGenerally speaking,
thepartition
functionequation (5) gives
thecomplete
statistical mechan- icaldescription
of the deformedlightly
cross-linkedpolymer
network.Nevertheless,
the calcu- lation of this function for agiven
realization of networktopology
isprohibitively difficult,
andwe use the
self-averaging
property of the free energy tosimplify
thisproblem.
This means that the free energy of amacroscopic
network of agiven topology
can bereplaced by
the averageover all
possible
realizations of the networktopology.
To find theweights
of these realizations let us consider thepreparation
conditions in more details.The
probability distribution, P1°1 [Rj,
that describes the conformations(R(s))
of the chains in amelt,
has the form[22j
P1°1[Rj
=Dx'1°lP1°1 x'~°~, Rj
,(gj P(°1[x1°),R]
=Z(°1[x1°),R) /
/Dx'(°IDR' Z(°) (x'1°1,R'j
,where the functional
21°)
is definedby equation (3).
Let us assume that the melt is instan-taneously
cross-linkedby
irradiation orby
other means. Then the functionP(°I [R] gives
theprobability
distribution of thegiven topology (R(s)) (or
tube coordinates(I(@)),
seeprevi-
ous
Sect.)
of such network. We also introduced inequation (9)
the functionP(°) [x(°), Rj,
which
gives
theprobability
distribution of theconformations, (x(°I (s) ),
of the network whosetopology
is characterizedby
the coordinates(R(s)).
Using equations (6, 9),
we can write the average free energy of the network in the form[19,22j:
F
= -T
/Dx~°)DR P1°) x1°1, Rj
In Z(x(°), Rj
=~~~
dm ,(10)
~~o
Fm
= TInZ~, Zm
=
Dx~°~DR Z~°~Z'°
=
/Dx(°lDRflZ~~l ~o (11)
The
replica
trick[23j
consists ofcalculating Zm
forarbitrary integer
m and thenperforming
analytic
continuation to m ~ 0. The valueFm
has themeaning
of the free energy of the socalled
"replica system".
In order to calculate thepartition
functionZm
of thissystem,
let usrepresent the b-function in
equation (6)
as the Fourierintegral
b
p(x)
jdsd(x x(s))
=jDh
exp(I jdx h(x)p(x)
IIds
h(x(si)
,
(12)
where ih has the
meaning
of the external fieldacting
on the chain monomers. Similarprocedure
is carried out with the advent of the field
ih(°I
inequation (3). Furthermore,
let usexpand
theexpression
forZm (ii
into the series in powers of the variablesu(~l, h(°~, h(~l, (k
=
1,.
,
m),
which are
displacement
vectors and external fields in each of thereplicas, respectively,
and considerquadratic
terms in thisexpansion.
All theintegrals
over the micro-variablesR,
x(~~and the fields
h(~~, (k
=
0,1,. ,m)
inexpression (11)
areGaussian,
and the result of thesimple integration
can berepresented
in the form~~ ~~~~~~~~~~~
~~~
II ~~3
~~
~M(~) i~
fLf~fL~~
~
(;~ '"i ~ ~_~
~
f
'PQ + P) i~»A» (q)Ul~[
l~ m ~~i~~
A(
+~~ (P~~(~+~j
~2
(q) ~j ~(k) ~(l)
~ ~
~"~ #,U
~~
k,i=1
"~ ~
~~
where p =
p(°I /(l~lyl=
is the averagedensity
of the stretchednetwork,
andu~l, p(~
are the Fourier components of thedisplacement
vectors and of the monomer densities in k-threplica, respectively (the
coefficientsA, A~
and ~J~u aregiven
inAppendix A).
Thenon-diagonal (with respect
to thereplica
indexesk, I)
terms inequation (13)
can bediagonalized
with the use of thefollowing identity (which
is also known as the Hubbard-Stratonovichtransformation)
:~~~
II ~~3 ~k~"~~~~ ~ ~i~~~~-q
M<u
,~
l
/Df Wifi
exP(- IA
~
j Iv QUI~' )
~i~~
"
/Df W[fj
Wifi
= exp(-( Ii ~ ~Jii(q)/» q/u )
,
~ ~
where the
integration
is taken over the random vector forcefq
with thecomponents f~
q,
and the matrix
i~~i
is the inverse of the matrix ~J with the components ~J~u. Then relation(13)
can be rewritten as
/Df W[fj /DuDp
exp(-F[p,
u,Ii IT) )~
~~
/Df W[fj
~~~~Substituting equation (15)
inequations (11, 10)
we come to thefollowing expression
for thefree energy
F
= -T
/Df P[fj
In/DpDu
exp(-F[p,
u,f] IT),
(16) P[f]
=W[fj / /Df l§'[fj
,
which
provides
a way forconsidering
the fuiictionalP[fj
as aprobability-
distribution of the random force f and allows us to makeimportant
identificationF[p,
u,fj / d~ l~j E~ (q)u~
qUp -q
~ f"
Q"~ ~
~'~~
~
~~~
(q)
with the desired free energy functional.
Equation (ii)
is the main result of this section. The termproportional
toE~(q) gives
the energy of elastic deformation of the network. lve found thefollowing expression
for the functionE~(q)
valid forarbitrary
wave vector q~"
~~~ ~~~~~
4 +
~Ne~2
(A
*q)2'
~~~~In the continuous
limit,
q ~0, E~
is the square form of q the coefficient of which are the elastic moduli of the network. Note that these moduli arestrongly anisotropic
foranisotrop- ically
deformed network with the maximum in the direction of the networkstretching.
Thisanisotropy gives
rise to the normalbutterfly
effectsuppressing
thermal fluctuations in the di- rection of thestretching.
The elastic contribution to the free energy decreases with the rise ofthe wave vector q and vanishes at wave vectors q »
if (aNll~).
The random Gaussian force f introduced above is characterized
by
the correlation functionsG
=
o, /~
~
/~
-~ =
2~Jv~jq). jig)
It describes the random internal stresses due to the network deformation because of the random distribution of cross-links
(quasi-cross-links)
in the network. It is this force that leads to anon-affine character of the network deformation and
produces quenched inhomogeneities
in the network, whichstipulates
the abnormalbutterfly
effect. Theexpression
for the correlator of the force f valid forarbitrary
wave vectors q is shown inAppendix
A. In the small q limitthis correlator is
proportional
toq~
and vanishes for q = 0 since in this limit the total force of the internal stressesacting
on the wholesample fq~o
"idx f(x)
= 0. The correlator of the random forces also vanishes in the limit q »i/(aNll~),
since there are no frozeninhomogeneities
on such smallspatial
scales.The third term in
equation (iii
describes theliquid-like degrees
of the freedom. This state- ment can be clarifiedby introducing
theliquid
part of the total monomerdensity
c~ = p~ +
ip ~ q»Avjqjuv
q.
12°)
»
In the continuous limit q ~ 0 the free energy,
equation (17),
remains finiteonly
if the condition cq = 0 is satisfied(since Aq
+~
q~,
seeAppendix A). Taking
into account that inthis limit
A~(q
~0)
~ 1 we find frome~uation (20)
the usualgeometrical
relation between the Fourier components of thedisplacement
vector uq and thedensity
pq, pq=
-ipqu~.
In theopposite
limit oflarge
wave vectors q »I/(aNll~)
we have
A~(q)
~ 0 and there isonly liquid-like
contribution cq to the monomerdensity
pq, seeequation (20).
In this limitA(q)
m4p/(a~q~)
and the termA~~ (q) (pq(~
inequation (17) reproduces
the usualexpression
for the free energy ofpolymer liquid inhomogeneities. Thus,
we conclude that the free energy ofpolymer network, equation ii), gives
correctdescription
of both short andlong
wave vector limits. Suchcompetition
of solid- andliquid-like degrees
of the freedom is the main feature of thepolymer
networks and it is absent in the case ofordinary
low molecularweight liquids
and solids.Since the relaxation processes of
liquid-
and solid-likedegrees
of the freedom are governby
differentphysical
mechanism it is more convenient to consider the free energy,equation (ii),
as the functional of variables c and u
~~j~'~~
=
Ii ~E»(qiu»
qu» -q
-Li»
qu~ -q
~ ~
2 ~
+B
Cq-PLi~vAv(~)Uvq
+)j
(21)
p
We
emphasize
thatexpression (21)
does notrequire
that theapplied
deformation be small thecomponents l~
can bearbitrary large.
Theonly assumption
made in the derivation is that thelarge-scale
fluctuations of thedensity
are small. Thisassumption
isalways
trueby
virtue of the ailine deformation of the network on
macroscopic
scales. Recall that we have to substitute the renormalizedparameters
I and 11,equation (8),
instead of their bare values a and B in the aboveexpression
for the free energy.4.
Dynamics
of Relaxation Processes in DeformedPolymer
NetworksLiquid-
and solid-likecomponents
of thepolymer
network were shown in theprevious
Sectionto be described
by
the collective variables c and u.Dynamics
of relaxation processes in such system can berepresented by
theLangevin equations [24j:
(
~~~fit
dfii
~ ~~~~~' ~'~~'~'~'~'
~~~~~~~
~~where
ii
" u~,fi2
= uy,fi3
" uz,fi4
= c. The kinetic coefficientsrip
aresubjected
toOnsager's
concept of thesymmetry:
T~j =rj~.
The correlators of a random Gaussian force(
have the form
((i(f)I
"
°, ((i(f)(j (f~))
"2Tr~jd(f
f~). (23)
To find the coefficients
r;j,
we discuss now theequations
of motion for allcomponents ii, (I
=1, 2, 3, 4) (22).
Consider a network that is swollen in agood
solventby
a factor of I withrespect
to thepreparation
state. Let us assume that the solution is anincompressible
viscousliquid.
Theequations
of motion for theliquid-like component
of the network can be writtenusing
the Navier-Stokesequations
where
fl(x), v(x)
and ~m are the osmotic pressure, the fluidvelocity
and theviscosity
of the monomers,respectively,
andr(x)
is the external force per unit volumeacting
on the monomers.Since the
density
of cross-links pores+~
p/Ne
is small incomparison
with the monomerdensity
p, we can
neglect
the monomer-cross-link friction with respect to the monomer-monomer one.Consequently,
the external forcer(x)
is determinedby only
the monomer-monomer frictionacting through
the solution and this can be written asr =
-fl(v vs), (25)
where
vs(x)
is the solventvelocity
field.Using (for
the sake ofsimplicity)
the model of theabsolutely impenetrable
coil[20j
for thefragment
of network chains of the size Rr-
aNll~,
it is easy to find the
expression
for the friction coefficient per unit volumefl
r-6~~sR/R~,
where ~s is the solution
viscosity.
Thescaling
renormalization of thisexpression
is obtainedby
theprocedure,
described in Section 2. The first term of the firstexpression
in(24)
can beneglected
on the scaleslarger
than R.Performing
the Fourier transformation ofequation (24) taking
into accountequation (25)
we find~~
dF
( (vq-vs q)
+ ~~P~bc-q
Perturbation of the solvent
velocity
fieldby
the force-r(x)
isrepresented by
the Navier-Stokesequations
as well((vq-vs q)
+iqpq
=
o, (27)
a
Ne
where pq is the Fourier
component
of the solvent pressure.Combining
theexpressions (26)
and
(27)
with thecontinuity equations
for the monomers and theincompressible
solvent~/
~ ~~~~q~'
~~S q
°' (~~)
we obtain the
equation
of motion for the component cq~~~/
~~~q ~' ~~ ~a~(2Ne
~~~~
When
comparing (29)
with thecorresponding Langevin equation (22),
it becomes clear thatrq
is a sort of kinetic coefficientr44
and that allr41, (I
=
1, 2, 3),
areequal
to zero.Onsager's symmetry
conceptrequires
that all ther~4, Ii =1, 2, 3),
areequal
to zero as ~~ell. We thus conclude that theequations, describing
the relaxation of the solid-likecomponents
will look like(22),
where the indexesI, j
take nowonly
thevalues,1,2,3.
Theseequations
are thefamiliar
iii] equations
of motion for an elastic mediumLv»(ai~
+a~ui
=
o,
a»~ =£,
~, v = x, y, z,
(30)
~ »~
where a~u is the stress
tensor,
and thedissipative
stress tensor has the form~i~ ~~ ~~)~
~~~ ~j ~~~l~
~~~ ~j ~~~
~~~~Comparing
theseequations
with theLangevin equations (22)
for the components fi~,(I
=1, 2, 3),
we find theexpressions
for the Fourier components of thedissipative
coefficientsr~~
= J~q21,~
+
q~qj)
+
(q~q~, I,j =1, 2,
3(32)
where ~ and
(
are the effectiveviscosity
coefficients.Equations (29, 32) give
theexplicit expressions
for all thedissipative
coefficientsdescribing
the relaxation processes inpolymer
networks.
In order to find the initial conditions for
equation (22),
let us consider a network stretched in a~ =l~ IA
times at agiven
instant of time t= o. Because of the affine character of such instantaneous
deformation,
the desired initial conditions can be written asu~(x, +o)
=
a~u~(x, -o) (33)
where the
change
in the network volume before and after this deformation wasneglected (n~ayaz
=
i).
The Fourier transformations of theequations (33)
have the form'~P
q(+°)
" °M~Ma*q(~o). Cq(+°)
"Ca*ql~°) (34)
The
Langevin equations (22)
describe thedynamics
of thethermodynamic (annealed)
fluc- tu~tions in the swollenby
the factor of I withrespect
to thepreparation
conditions andanisotropically
stretched network at times t > 0.Analogous equations
for the case t <0,
which describe the fluctuations in the swollen network before its
stretching,
can also be ob- tained fromequation (22),
in which alll~
should be setequal
to I(l~
=ii.
The sameprocedure
should beapplied
to the formula(19)
for the correlation function of the random forceI, characterizing
the internal stresses due to the networkswellin). Solving
the set of thelinear
equations (22)
for times t < 0 withl~
= I and for t > 0 with
l~
=
a~l,
andusing
the initial conditions(34)
formatching
these solutions at t =0,
we see that for t > 0 the solutiondepends
on f as well as onI.
Nowone has to substitute the solution into the
expression
for thedensity-density
correlation functionSq(t)
m(iPq(t)i~)
=Cq(t) iPjj q»A»(q)U» q(t) (35)
In addition to the correlators
/~
q
/u
-q
and
f~
q
fu
-q, which characterize the swollen and stretched
(after
theswelling)
states of thenetwork, respectively,
thejoint
correlator/~
q
fu
-q
contributes to the
expression (35).
This correlator is calculated inAppendix
B.The behavior of the correlation function
(35)
is of the most interest in twoasymptotic
cases:I) t ~ cc, I.e. in the
equilibrium
state of the stretched network andit)
for finite t,I.e.,
for small times after the instantaneousstretching
of the swollen network. In the first case,I),
theexpression (35)
can be written as the sum of two termsS~
=G~
+ P~Iii1~ i iv ~/u
-~
~l]ll~~lili~~ (36)
Only
the annealed fluctuations contribute to the first term and this term isresponsible
for the normalbutterfly
effect. The correlation function of suchfluctuations, Gq,
iseasily
related tothe correlation
function,
gq, of thesystem
in which all the monomer interactions are "switched off"(this
relation is well-known from thephysics
of usualpolymer liquids):
The second term in
(36) gives
the contribution of thequenched fluctuations, originating
fromthe random nature of the random internal stresses. In the case of finite t the
expression (35)
can also be written as the sum of two terms. The first describes the
temporal
evolution of the thermal(annealed) fluctuations,
and the second term characterizes the relaxation of thedensity
fluctuations to theirequilibrium (quenched)
value.5. Discussions
We
presented
thetheory
oflightly
cross-linkednetworks,
which takes into account both ex- cluded volume interactions andentanglements
of the network chains. Whilst the former have been consideredexactly by using
the renormalization of small-scale parameters(monomer
size and effective virialcoefficient), nobody
knows anyrigorous
way to take theentanglement
effects into consideration. To avoid thisdifficulty
we use thesimplest
tube model ofentanglements.
In
obtaining
the tubeparameters
for the deformed network we wereguided by
the idea that the networktopology
should notdepend
on the networkdeformation.
In the tube model thetopology
of the network isrepresented by
theb-function, equation (i),
which is taken to beindependent
on the network deformation. This conditioninevitably
leads to thedependence
of the tube diameter on the networkstretching.
Thispoint
is the main difference between our model and thatby
Edwards[18j.
Weexploit
the exactsolvability
of our model to find the free energy functional of the deformed
network. Unlike the usualliquids,
the deformations of ~~hichcan be described
by only
one collectivevariable, density
p, the network must be characterizedby
twoindependent thermodynamic
variables: p and thedisplacement
vector u. The usualgeometrical
relation between thesevariables, lip /p
=
-Vu,
is ho more valid for small scale deformations and is restoredonly
in the limit ofinfinitely
slow deformations. Theinterplay
between
liquid-
and solid-likedegrees
of the freedom isresponsible
for the finite-scalephysics
ofpolymer gels.
The free energy
functional, equation (17), depends
on the forcef,
~.hich is thequenched
random function in the sense that it
depends
on thespatial position
and does not vary with the time. Thephysical
reason for this force is that in the process of the network deformation agiven
chain isdisplaced, locally stretching
the network. Thus there is areturning
forceacting
on this chain from the network
through
its cross-links. This force leads to the formation ofinhomogeneities
in the network and isresponsible
for the appearance of the abnormalbutterfly
effect under uniaxialstretching
of the network.Choosing
theparameters (the swelling
factor 1=
2,
thestretching
factor a= 1.5 and
BpNe
=50) corresponding
toexperimental
conditionsreported
in[5j,
weplot
inFigure
ia theequal intensity
contours(Sq
=
const, Eq. (36) ).
For small wave vectors q thescattering intensity
ispeaked
in the direction of thestretching.
Forlarge
q theanisotropy
is inverse and thescattering intensity
has maximum in the direction normal to thestretching
direction.The last
patterns
havereally
been observed inexperiments [5j. Note,
that such behavior isquite unexpected
since theonly; liquid-like degrees
of the freedom contribute in thescattering
intensity
in the limit q »if (aNll~),
where the patterns have to be transformed into concentric circles.Indeed, inspection
ofe~uation (36)
sho~.s that thepicture
of concentricellipses
takesplace only
in theregion
of intermediate q, it transforms into thebutterfly, patterns
for small qqa~
~3 ~2 O Ol
qy
S~
~2
~ ~i
~Y
° q3~
b)
03Fig.
I. Contourplot (a)
and 3dplot (b)
of the staticdensity-density
correlation functionSq
in the(q~,
qyplane,
where q=
qaNll~
is the dimensionless wave vector. Theswelling
factor and thestretching
factor a for the networkuniaxially
stretchedalong
the x-axis(a~
= a,ay =
n~~/~),
are
taken as 2 and
1.5, respectively;
andBpNe
= 50.
and into concentric circles in the limit of
large
q, q » i/(aNll~).
The three-dimensionalplot
in
Figure
ib demonstrates the presence of anangular singularity
at q = 0 and the enhancedscattering along
the direction of the networkstretching.
The
scattering
intensitiesalong
and normal to thestretching
direction versus q areplotted
in
Figure
2a.Notice,
that in the smallq-region
thescattering
in the stretched direction(I)
exceeds that in the normal to the
stretching
direction(o)
and that the behavior is inversed forlarge
q. We also show inFigure
2a thesignal
from unstretched network(solid)
and that from a solution(+)
of uncross-linked chains with the samedensity.
In theregion
oflarge
q both thesecurves follow the same
asymptotic
behavior but for small q thescattering intensity
from theswollen network
considerably
exceed that from the solution. InFigure
2b the abovescattering
intensities at q = 0 are
plotted
as a function of the monomer concentration. In thepreparation
conditions thesignal
is the same as that from thesolution,
it increasesdramatically
with theswelling
of the network due to the rise of theamplitude
of the networkinhomogeneities.
The time evolution of the
scattering patterns
after the instantaneousstretching
of the net- work is shown inFigure
3.Immediately
after thestretching, (t
=
+0),
theisointensity
linesare
elliptical
inshape, Figure 3a,
inagreement
with the classicalconcepts. Later, (t
>0),
thissimple
pattern of concentricellipses
is transformed into the abnormalbutterfly
pattern. Thewings
of thebutterfly
appears first on small wave vectors q(large spatial scales), Figure 3b,
and afterward areexpanded
into the range oflarger
q values. The finalstationary butterfly
patterns
areplotted
inFigure
ia.At first
sight
the observation that thequalitative changes
of thescattering picture (butterfly pattern)
appear first in small q contradicts to the usualpicture
of relaxation processes whichbegin
first in small scales. Such small scalequantitative changes really
takeplace
in thepolymer
networks andcorrespond
to the motion of outerellipses
to the center.Nevertheless, qualitative
transformations of the concentricellipses pattern
into thebutterfly
onebegin
atlarge spatial
scales. All the above results are, at
least,
inqualitative agreement
with the observed exper- imental results[3-7j.
Thequantitative comparison
of our results withexperimental
data is veryinteresting
both fordeeper understanding
the nature of nonaffine local deformations ofentangled polymer
networks and forverifying
the main features of the tube model.Appendix
ACoefficients of the
expansion
of the free energy functional(ii)
for thearbitrary
q values have the formQ2
°~Q2
A(q)
=PNe
exPI ~j nl
Au/
dY exP
~ ~j nl Al
u ~ u
~ l$ u)
(i e~Y/~"
+(l) i) e~Y/~"j
2 2 2
Q2
x exp
-~jn$lue~Y/~"
-i,
(A.2)
~
u
aaaaaaaaaa
°aa
~a /~
~a
q
o
a a
a
a a
a
a
a
a
a
a
no oooooo oo oaoo oo
o
°ooo~ a
° a~
o
~ a
o
~
o ~o
o
a
oi
aj
qa ~a
s
~a~ a
~~
a a
a a
a
~
o a
o
o a
o ~
o
o a
o a
o
a
a a
o a
a ~
o
a
~
o a
a o
a a
o a
+ +
+ o
+ + + o ~
+ +
+ a °
+ + ~ + + o a
~ ~ + o a
+ +
~
o °
+ +
+ + + + o ° ~
~ ~ ~ +o + a
+
~
~ a
b) 16
Fig.
2.Log-Log
plot of thescattering
intensities from the swollen anduniaxially
stretdied net~vork in the direction ofelongation (I)
and normal to it(O)>
as well as thesignal
from the s~vollen network(solid)
and from the solution of uncross-linked chains(+)
~vith the same monomerdensity: (a)
theq-dependence
at 4l=
pa~
= 0.I and
(b)
the 4l-dependence at q = 0.qx
.02 0 01 02
qy
al
,qx
-oi o1
~qy
Fig.
3. Evolution of the contourplots
of thedensity-density
correlation functionSq(t)
in the(qx,qy) plane.
Time is measured in the units of the dimensionless time I=
tpT/Ne(4/3q
+(): (al
I= 0
immediately
after the instantaneousstretching; (b)
I= 0.3 emergence of
"wings"
of abutterfly
pattern at small wave vectors q. Here thes~velling
coefficient A= 2, the
stretching
coefficiento = 1.5, and
BpNe
= 50.~~~~~~ ~~~~~~~ ~
~
~~~~~~~~
~~~~
(~.~)
~~
j~e 4(l~
+lu)
+(luNea2(A
*q)2'
where unit vector n has
components
nu = qu/q
andQ
= Qa.
Appendix
BTo find the
joint probability
distribution P(f,ij
of the forces f andI,
it is convenient toconsider the average of the
product
of the freeenergies
of the deformed state(F)
and of the swollen stateif).
Thisaverage can be
represented
in the form(analogs
to the formula(16) Ffl
=
T2 /DfDi
P(f, ij
In/DpDu
exp(-F[p,
u,fj IT)
jB_i)
x In
/DfiDfi
exp-fl fi, fi, ij IT
,
where d and fi are the
displacement
vector and thedensity
of the swollennetwork, respectively.
The same average can be calculated
using
thereplica
trick.Comparing
the result of such calculations withequation (B.1)
we find~ the desiredjoint probability
distribution Pif, fj.
Atthe first step of this program we write the average
Ffi using
thereplica
methodas follows
/Dx(°IDR Z(°I jjZ(~l([
=
a~l)jjZ(~)([
=
l)
~ ~~~~
~Dx(°IDR
Z(°)
~~
~~©J#
where the
partition
functionsZ(°I
and Zare defined
by
theexpressions (3)
and(6),
respec-tively.
To calculate this average, ~~e insert the external fieldsh1°),h~~)
and(~l)
in each ofthe
replicas
k =1,..,m
and =1,..,n
andexpand
thepartition
functions inequation (B.2)
into the power series in the vectorsul~),d(~)
and fieldsh(°),h(~J,((11, (keeping only
linear and
squared
terms in thisexpansion).
We do not go into details of the calculations since we use here the sameprocedure
used to obtain the transformation(14). Calculating
theGaussian
integrals
inequation (B.2)
over the coordinatesR, x(~l,
x(11 and the fieldshl~l, I(~), (k
=0,..
, m, =
I,..., n)
as well aslinearizing
thenon-diagonal
terms(with
respect toreplica indexes)
inequation (B.2) by
the Hubbard-Stratonovichtransformation,
which introduces the random fields f andI (see
transformation(16)),
we show that theexpression (B.2)
can berepresented
in the form of(B.I).
The correlator fI,
calculatedby averaging
theproduct
fI
with the
probability
Pif, ij,
takes the form~" ~~
~"*~ ~
~~ll~ ~~ 4
+
Ne~2
(A
*q)2
~~
~+ ~
4 +
(l~
+)~Nea2
(A
*)2~
~~~fl 4(l~
+
1)
~~i~ea2(A
*
q)2
'~~'~~
where A and A * q are the vectors with the coordinates