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The intermediate coherent scattering function of entangled polymer melts: a Monte Carlo test of des
Cloizeaux’ theory
J. Wittmer, W. Paul, K. Binder
To cite this version:
J. Wittmer, W. Paul, K. Binder. The intermediate coherent scattering function of entangled polymer
melts: a Monte Carlo test of des Cloizeaux’ theory. Journal de Physique II, EDP Sciences, 1994, 4
(5), pp.873-879. �10.1051/jp2:1994171�. �jpa-00248008�
Classification Physic-s Abstracts
61.25H 61.20J 61,12B
The intermediate coherent scattering function of entangled
polymer melts
: aMonte Carlo test of des Cloizeaux' theory
J. Wittmer
(*),
W. Paul and K. BinderInstitut for
Physik,
JohannesGutenberg-Universit>t
Mainz,Staudinger
Weg 7, D-55099 Mainz,Germany
(Received 30
July
1993,accepted
in fina/ 31January
1994)Abstract. Using the bond fluctuation model for flexible polymer chains in a dense melt the
intermediate coherent scattering function for chains containing N
=
200 monomers is calculated
and
interpreted
in terms of a recent theory of des Cloizeaux. The theory yields anexplicit description
for the crossover from the Rouse model to theregime
wherereptation
prevails, for the limit N- oJ. While the Monte Carlo data are
qualitatively compatible
with thisdescription,
anaccurate estimation of the tube diameter is
prevented
due to the onset of a diffusive decay of thescattering function, not included in the theory. For a full
quantitative analysis
of the Monte Carlo data (as well as ofexperiments
on chains with notextremely large
molecularweight)
an extension of thetheory
for finite N would berequired.
1. Introduction and overview.
The detailed
understanding
of thedynamics
of flexibleentangled polymers
in dense melts is still achallenge [1-191.
Mostpopular
is the concept[4-61
that chains are constrained to moveanisotropically along
their own contour in a tube, but this idea is not yetgenerally accepted [7-
9,II-13].
While viscoelastic measurements[31 give only
a rather indirect information on the actual chain motions, these motions can beprobed
onmicroscopic
scales both in space and intime
by
the neutronspin
echotechnique,
whichyields directly
the(normalized)
intermediatescattering
functionS(q, tYS(q, 0) [20-241,
qbeing
the wave vector of thescattering experiment
and~t the time. From a detailedstudy
of this function~over a wideenough
range ofwavelengths
and times one should be able todistinguish
whether the characteristiclength
scaled~
and associated time scale r~, where motions are slow incomparison
with the Rouse model [1, 2, 25,261,
is causedby
the onset ofanisotropic
motion(reptation)
or other mechanisms(such
as the onset ofmode-coupled dynamics [[[l,
forinstance).
1*) Present address : Institute Charles Sadron, 67083 Strasbourg, France.
874 JOURNAL DE
PHYSIQUE
II N° 5Computer
simulations[12,
17-20,271
have the distinctiveadvantage
thatthey
can address thisproblem
forsimplified precisely
defined models where one avoids unessentialcompli-
cations
(such
as contributions to the relaxation from side groupmotions, polydispersity
of the melt,change
of the temperature distance from theglass
transition when the chainlength
isvaried, etc. and that one obtains detailed
microscopic
information on allquantities
of interestsimultaneously. E-g-,
the characteristic time-scale r~ can be estimated also from the time-dependent
mean squaredisplacement
of inner monomers in the chain(Fig,
I). In addition, since the Rouse modelimplies [1, 2, 251
gi(t)
=
«~(W~~~ t)'/~
where « is thelength
of the effective bond and W~~~ an « effective » Rouse rate (« effective » means we have absorbed a constantprefactor
of orderunity
in the above relation in W~~~), the Rouse scale«~ W())
can beindependently estimated,
unlikeexperiments [20-241
where all such parameters must be extracted fromS(q. t)/S(q, 0)
itself.~~~
d/
,~~"
f-s
_
io' ,~~
'~
q
,,""
,,~~" f"'
~~o
T
o
~i
t
Fig,
I. Mean-square displacement of the inner monomers, gj (tw
(
[r, (t r, (0)]~), displayed
on a
log-log
plot versus time for a polymer melt modelled by the bond fluctuation model on thesimple
cubic lattice for a volume fraction $ = 0.5 of occupied sites,chainlength
N= 200, and temperature T I (temperature enters the model through a potential energy E(cr
= F cos cr for the angle a between
successive bonds
along
a chain with F/kB m I). Time is measured m units of attempted Monte Carlo Steps(MCS) per effective monomer. One can clearly
distinguish
the crossover from Rouse-like motion, gj (t) oc t°~, indicated by a full straight line, to a slower motion (brokenstraight
line indicates a behavior gj (t) oz t°~~). Arrows indicate estimation of T~ andd(.
From Wittmer et al. [19].Until
recently
theanalysis
ofS(q, t)/S(q, 0)
from bothexperiment [20-24]
and simulation['7, 19, 20, 28]
washampered by
the fact thatreptation theory only
considered thelimiting
cases
[6] qdT
* I, t » r~, I-e- thetheory
did not include the Rouse limit[26]
whichapplies
forthe
opposite
cases(t
« r~ orqd~
» I,respectively).
Since bothexjerimental
data[20-24]
andcorresponding
simulations[17-19] probe
theregime
around the crossover(q-'
andd~
are of the same order, t and r~ are also of the sameorder)
the limit consideredby
de Gennes[6]
was of limited use for theinterpretation
of these data, and hence rathercomparisons
have been mademostly
with theapproximate theory
of Ronca[7].
Thevalidity
of thissemiphenomenological approach,
however, is somewhatuncertain,
and hence case of poor agreementreported
in the literature[24]
need notimply
adeficiency
in thereptation
concept.Distinctive progress was
recently
madeby
des Cloizeaux[16]
who calculatedS(q,
t)IS (q, 0)
fromreptation theory
in the limit N- cc where the
entanglement
constraintscan be treated as fixed. His
theory
shows distinct deviations from Ronca's treatment[7],
butcomparison
with theexperimental
data[24]
onpolybutadiene
is ratherencouraging.
In the present paper, we hence wish to check thistheory [161
furtherby reanalyzing
the « data » onS(q,
t)/S(q,
0 obtained from Monte Carlo simulations of the bond fluctuation model[191.
In thisstudy,
a reasonable fit to the Ronca [71Prediction
has been obtained(Fig. 2).
If thisgood
fit
implied
a realdiscrepancy
with des Cloizeaux'predictions [16],
this wouldclearly
raise doubts on thevalidity
ofreptation
concepts for the simulated model. In section 2 we hence recall the main theoreticalresults,
while in section 3 we present acomparison
of numericalevaluations of his formula
[161 (unfortunately
these are very tedious and hence their use in afitting procedure
is notstraightforward)
with the simulation results. Thiscomparison
reveals that thistheory
is alsoqualitatively compatible
with thesimulations,
but not useful for theirquantitative analysis
due to the restrictiveassumption
of the limit N- cc
(I,e., N/N~
- ccwhere
N~
is the number of monomers between «entanglements »).
This means that thediffusive
decay
time of the mesh ofentanglements,
r~~~~, has to be verylarge compared
to theentanglement time,
r~~~~ » r~.1.oo
o-w
* ~ ~
$
o-W
~~b',,_
~i
~i'£"'~,,,
$Z
~ ~'b"~"'~~,--fl,,_,,
11
0.40/~
oW
"~O
~ 6',Q
O0.20 °
O ° O
0.00
0.0e+00 1.0e+05 2.0e+05 3.0e+05 4.0e+05 5.0e+05
t
Fig. 2. Fit of the Ronca
prediction
(curves) for thedynamic
scattering factor S(q, t )/S(q, 0) to the Monte Carlo simulation data(symbols)
of the same model asspecified
infigure
I, for several choices of q (being measured in units of the inverse lattice constant) q 0,15 (circles), 0.2 (stars), 0.25 (squares),0.3
(triangles)
and 0.35 (diamonds), respectively. From Wittmer et al. [19].2. Theoretical
background.
The coherent
scattering
function of onepolymer containing
N monomers in a melt is defined as[2,
61j N N
S(q,
ti
=
z z jexp jiq jr, (t)
r~(0 iii j ii)
~,=ij=1
876 JOURNAL DE PHYSIQUE II N° 5
Here
(.. )
means a statistical average over allconfigurations
of the chain in thermalequilibrium.
des Cloizeaux[16]
assumes that in the limit N-cc and t of orderr~ that he wishes to consider, the
displacements
r,(t) r~(0)
can bejonsidered
as randomGaussian variables, such that
(exp (iq [r, (t)
r~(0 Ii
= exp ~
[r, (t)
r~(0)]~)
6 ,
and that the
polymer
can be divided into branches in between «entanglement points
» whichare
rigidly
fixed and thus these branches arecompletely independent
from each other. Withsome
algebra,
des Cloizeaux[16]
obtains from theseassumptions
the intermediatescattering
~ ~ ~ ~ g~
1/2
function as
[Zm
qd~/6,
Xm q « Wt
,
W
being
the Rouserate]
36
j
e~
S(q,
t)IS (q, 0)
= In(I
+Z)
+dy
e~Y F(X, yZ) (2)
Z
o
where
II
j ~ P=+WF(X,zl=z
dAdBexP[-zA-~
dujj
x0 0 QT 0
p=-w
x
exp [- ~~ ~~'~~
~~ exp[- ~~ ~~'~~
~~(3)
u u
The
integral
inequation (2)
means that a random Poisson distribution of the distances betweenentanglement points
has been assumed, I-e-d(
here hasalready
themeaning
of acorrespondingly averaged quantity.
Note that in the limit Z- cc the
Simple
Rouse model results[26]
W x ~2
S~~
t)/S~~ °> ~
da exP a
m ~
da exPm
,(4>
while Ronca's result
[7]
isS(q,
t)/S(q,
0=
Z
l~
exp(- Zg (w,
36~/Z~))
dw
(5)
4
~ 8
where the function g is defined in terms of the
complementary
error function erfc asg
(w,
u=
2 w exp
(wi
erfc W~
+/
+ exp
(- wi
erfcj ,&) (61
2 , u 2 u
Both
equations (2), (5)
cannot besimplified
further but need be evaluatednumerically.
Asimplification
occursonly
in the limit X- cc where both
equations (2), (5) yield
a saturation ata nonzero
plateau
value(while
the actual structure factor for finite chainlength decays
to zeroin this limit, of
course).
In the framework of thereptation model,
thisdecay
reflects the renewal of the tube. Theseplateaus
are describedby
S
(q,
cc)/S(q,
0= ln
(I
+Z)
Z~
dx ~" ~~ ~
,
des Cloizeaux
,
(7)
Z 2
o
(I
+ Zx )~S(q,
cc)IS (q,
0=
Z
j~
du exp[-
~(u
+ exp(u ))j
, Ronca(8)
4
~
4
3.
Comparison
of des Cloizeaux'theory
with the simulations and discussion.When we compare the data of
figure
2(where
the curves shown representequation (5)
withdT
" 24.5 and W=
1.2 x
10~~
as fitted parameters, the rate Wbeing
taken from the mean-square
displacement
g~(t), Fig. II
to theoreticalpredictions,
we must note that we cannot used~
as extracted infigure
I for thequantity
Z=
q~ d(/6,
since thed~
used in des Cloizeaux'theory
isonly
of the same order ofmagnitude
as thed~
seen in g~(t ),
butcertainly
differs from itquantitatively by
a numerical factor. Of course, it would be desirable to compute both g~(t )
and S(q,
tfrom
the sametheory
because this would then allow ameaningful comparison
between the
corresponding
simulation results as well. However, thedescription
ofentangle-
ment constraints as
fixing rigidly
monomersalong
the chain(which
are an average distanceN~ along
the backbone apart from eachother) necessarily implies
thatg~(t» r~)cc d(,
independent
of t, because the monomers then cannot escapearbitrarily
far from therigidly
fixed
entanglement points.
Theassumptions
used in reference[16]
thus are notimmediately
suitable to calculate the crossover of
gj(t) (or
of the incoherentscattering function).
Maintaining
thus the above estimate for W and thequantity
«, which is extracted from simulation results for staticquantities,
see reference[19],
we can transform the simulation~ ~ ~ iii
times to the rescaled variable X
= q « Wt
,
while Z has to be treated as an
adjustable
36
parameter. Thus
figure
3 compares simulation data for threerepresentative
values of q withequation (2)
which was evaluated for a wideregime
of Z. While for X S I the data for all qclearly superimpose,
as it must be in thisplot
due to the choice of a Rousescaling variable,
the data level off from the Rouse function(which
is thelimiting
curve forlarge Zl, indicating compelling
evidence for the onset of slower relaxation.Qualitatively,
thisplot
is very similar to thecomparison
of des Cloizeaux[16] (his Fig. 9)
with theexperimental
data of Richter et al.[24].
However, we do not attempt aquantitative fitting
for several reasons :(ii
the statisticalerrors in the data are rather
large (iii
there aresystematic
errors in Z to beexpected,
since thefinite chain
length
N leads topronounced
deviations fromequation (2).
At a time of orderRouse Z=7
o-S Z=20
_ Z=39
Q
o q=0.15
£ o 6
u q=0.25
f
".o q=0.35
j
0.4
°~~lR%u__
o ~~
u£j"""'
0.2
~
° ° ~
o
0 2 3 4 5 6 7 8
X
Fig.
3. -Dynamic scattering functionS(q,t)/S(q,0)
plotted i,s. the Rouse variable. X=~ g~ 1/2
q «~ Wt Simulation data for the same model as in
figures
1, 2 are included for three values of 36q =
0.15 (circles), 0.25 (squares), 0.35 (diamonds). Note that all three values should superimpose on a
single
curve,given
byequation
(4), if the Rouse model were valid (which is shown as full curve). Brokencurves show predictions of the des Cloizeaux theory [16] for several choices of Z Z 7 (dotted curve),
Z
=
20 (broken curve), and Z
=
39 (dash-dotted curve).
878 JOURNAL DE PHYSIQUE II N° 5
r~ cc W~
N~/N~
theplateau
describedby equation (7)
must havedecayed
to zero,although
r~ is
probably
of the order of 10~ MCS in our case(cf.
Ref.[18]),
andonly
data up to t=
5 x 10~ MCS are included in
figure 3,
somesystematic
deviations are to beexpected.
More
importantly,
also theparameter qR~
whereR~
is thegyration
radius of the chains needs to be included in thetheory,
and for the chosen values of q it is notnegligibly
small. From theexperience
with mean squaredisplacements
such as gj(t) (Fig, I)
for different chainlengths
one finds that in the considered time window curves for different N
practically superimpose
for t S T~ and then thedisplacements
for the smaller values of N (but still in theentangled regime)
are
only slightly larger
than for N- cc
[17-19].
Due to theseeffects,
it is not unreasonable toassume that the data for finite N should fall
slightly
below thecorresponding
theoretical curvesfor N
- cc. Therefore some
systematic
errors due to the finiteness of N must beexpected,
butquantitative
theoreticalpredictions
for these effects are stilllacking.
However, if wedisregard
this
problem
andsimply
try to find a tube diameter that fits our datareasonably well,
we findd~
= 43.7(yielding
Z= 7, Z
= 20 and Z
= 39 for the three values of q shown in
Fig. 3).
This is somewhatlarger
than the value obtainedpreviously
fromfitting
Ronca'smodel, d~
= 24.5[19],
but still a reasonable value.Comparing figures 2,
3 one must say that on the basis of our simulations oneclearly
cannot discriminate between the models of Ronca[7]
and des Cloizeaux[16]
within the ratherlarge
statistical and
systematic
errors both arecompatible
with the simulation data. For both modelsan extension
taking
corrections due to finite size of the chains into consideration would behighly
desirable.Acknowledgments.
We thank Professor J, des Cloizeaux for
sending
hispreprint (Ref. [16])
and forstimulating
discussions. One of us(J. W.)
thanks the Bundesministerium furForschung
undTechnologie (BMFT)
for support under Grant N° 03M4040.References
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Scaling Concepts
inPolymer Physics
(Comell University Press, Ithaca, 19791.[2] Doi M, and Edwards S. F., The
Theory
of Polymer Dynamics (Clarendon Press, Oxford, 1986).[3] Ferry J. D., Viscoelastic
Properties
of Polymers (Wiley, New York, 1980).[4] de Gennes P. G., J. Chem. Phys. 55 (1971) 572.
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Trans. 74 (1978) 1789, 1802, 1818.[6] de Gennes P. G., J. Chem. Phys. 72 (1980) 4756.
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