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HAL Id: jpa-00246814

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Submitted on 1 Jan 1993

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entanglements in a polymer melt

J. Des Cloizeaux

To cite this version:

J. Des Cloizeaux. Dynamic form function of a long polymer constrained by entanglements in a polymer

melt. Journal de Physique I, EDP Sciences, 1993, 3 (7), pp.1523-1539. �10.1051/jp1:1993198�. �jpa-

00246814�

(2)

Classification Physics Abstracts

05.40 61.128 61.40

Dynamic form function of

a

long polymer constrained by entanglements in

a

polymer melt

J, des Cloizeaux

Service de

Physique Thdorique (*), CE-Saday,

91191 Gif-sur-Yvette

Cedex,

France

(Received

2

December1992,

revised 3

February1993, accepted

26 March

1993)

Abstract. The

dynamic

form function of a

long polymer

in

a

polymer

melt is calculated

by assuming that,

in the intermediate time

region,

the

entanglement points

remain fixed. The

calculation agrees with the reptation concept of de Gennes. The results recall those of Ronca but are more exact, as we show

by comparing

them with the

experimental

spin echo neutron

scattering

data

by

D. Richter et al. The form

function,

is

expressed

in terms of pure numbers

depending only

on two parameters, namely the mean square distance between

entanglements

and a coefficient

characterizing

the continuous Rouse

equation

of the

polymer.

1 Introduction.

The

dynamic

form function of a

polymer,

the motion of which is

given by

a Rouse

equation,

was calculated in 1967

by

de Gennes

iii.

In another

connection,

in

1971,

de Gennes described the motion of a

polymer

among fixed obstacles [2]

by introducing

the

concept

of

reptation.

Since

then,

the idea was

developped

to describe the

dynamics

of

polymer melts,

in

particular by

himself and

by

Doi and Edwards

[3].

More

recently,

it was shown

by

the author [4] that this idea could lead to very

precise

results in the framework of double

reptation. Nevertheless,

the effect of

entanglements

on the time

dependent

structure factor has not received that much attention.

In

1983, starting

from a different

point

of

view,

Ronca [5] introduced a semi

phenomenolog-

ical

equation

obtained

by adding

a memory term to the Rouse

equation.

In this way, he was able to

predict

the behaviour of the

dynamic

form function

ti(q, t)

of a

polymer

of intermediate times I-e- for times which are somewhat shorter than the

reptation

time.

Thus,

in this

region,

the ratio

ti(q,t)/ti(q, 0) acquires

a finite value as t goes to

infinity,

instead of

going

to zero.

However,

the

experimental

result for the

time~dependent

form function obtained

by

the

spin

echo neutron

scattering

covers

precisely

this intermediate

region. Very recently

Richter et al.

(* Laboratoire de la Direction des Sciences de la Matikre du Commissariat k

l'Energie Atomique.

(3)

[6] measured

ti(q, t)

for various

polymers

and

they

found that the data were

incompatible

with Ronca's

predictions.

Thus,

in order to obtain a

good fit,

we must

replace

Ronca's

theory by

a more

precise

and direct one,

and,

in the

present article,

we obtain this result

by introducing

the

concept

of

entanglement (or

stress

points)

in the

original

calculation of the form function

by

de Gennes

iii.

For this purpose, we have

only

to assume

that,

at a

given time,

the

polymer

in a melt is

a Brownian chain and

that,

in this intermediate time

regime,

the

entanglements

remain fixed

on the chain. The

principle

of the calculation is therefore very

simple

but its realization is somewhat involved. It will be

presented

in the next sections.

Thus,

in the

following,

we shall determine

ti(q,t)/ti(q,0) (q

= momentum

transfer,

t =

time)

for an infinite chain in terms of a dimensionless parameter

proportional

to

q~. (Note that,

in this

approximation 5(q, 0)

is

proportional

to

q~~).

The formalism is made

explicit

in section 2. The ratio

ti(q, t) /ti(q, 0)

is calculated in section 3. The limit

ti(q, cc)/5(q, 0)

is studied in section 4. A transformation of the

general

result and

a value of

5(q,t)/5(q, 0)

are obtained for a

given

value S of the "Brownian area"

(or length)

of a

polymer,

in section 5. The

dispersion

of the stress

points

is accounted for in section 6 and

5(q, t)/5(q, 0)

is obtained for a

given IS).

In section

7,

the formula of de Gennes is recovered in the limit

q~S

-

0;

the

limiting

behaviour is shown to be the same, if

q~(7t)~/~

-

0,

in the

general

case and for de Gennes formula. In section

8,

we comment on the results obtained

by

Ronca and we note that

they

cannot account for the most recent

experimental

results

[6].

In section

9,

we compare the curves

representing ti(q,t)/ti(q, 0)

with the new

experimental

data of Richter et al.

[6].

This

comparison supports

our

approach.

2. Notation and

parameters.

The

theory depends

on two

parameters

S and 7. The mean square distance between entan-

glements

is

R~

= 35

(in

accordance with a classical notation

[7]).

The

parameter

7 is the coefficient of the continuous Rouse

equation

which describes the motion of the chain between

entanglements.

For each

component z(s,t), y(s,t)

and

z(s,t)

of the

position r(s,t)

of

a

point

of the

chain,

we have

if«iS, t)f«

iS~,

t~))

=

276 IS

S~) 6

it

t~)

Therefore, according

to this

equation

(lzls> 0) z10, 0)l~)

= S

12)

in

agreement

with the

preceding

definition of S.

Actually,

we shall express

ti(q,t)/ti(q, 0)

in terms of two dimensionless parameters which are functions of 7 and S

Y =

q~17t)~/~

Z

j~~

=

q~S/2

(4)

3 Form function

5(q, t).

The form function is

given by

the average

i ST ST

slqi t)

"

m /

d~

/

d~'

l~~P liq'

l~(~<

t)

~(~~<

o)11)

T 0 0

where

ST

is

proportional

to the total number of links on the chain. Since we are

considering only

random Gaussian

variables,

we can also write

~(~< l) ~

/~~

~~

/~~

~~~ ~~P

(i~(S<1)

~

(s~i °)j~) (~)

T

In

particular, according

to

equations (2)

and

(4)

~~~'~~ /( )~

~~

~~

~~~ ~~~

~~ ~~

=

~

ds

(ST s)

exp ~~s

S~

2

In this

work,

we consider

only

the limit

q~ST

> 1 where

ti(q,0)

=

£ (5)

Tq

Combining (4)

and

(5),

we obtain for

q~ST

»

Ii(q, t)/Ii(q, 0)

=

(

/~~

dS

/~~ d/

exP

(

(lz(S> t)

z lS~,

°)l~) (6)

The

polymer

is

represented by

a Gaussian chain

pinned

at fixed

points

which are called stress

points

or

entanglements (see Fig. I).

So f_1

r~

~

',

~~~

S-i

'

t~t' j

p~

t-I"

~l

Fig. Fig

2

Fig,

I. Motion of a

polymer

chain in a melt. The stress

points (or entanglements)

remain fixed.

Fig.

2.

"Length"

of segments on a chain

(Sp)

and vectors

(rp) joining

the intervals between stress

points.

(Actually Sp

=

(r() /3

has the dimension of the square of a

length).

JOURNAL DE PH~SIOUE i -T I N' 7 JULY 1991 V

(5)

Now,

consider the chain at time t

(see Fig.2).

It will be assumed that there are

n stress

points

and that their

positions along

the chain are

Si,

,

Sn.

The number n is

large and,

for

simplicity,

we shall assume that the

origin (So)

and the

extremity (Sn+2

"

ST)

are also fixed.

Thus,

we may write

5(q<1)/slq> o)

"

~~ f f ~~~'

d~

~~~'

d~~ ~~P

(~ (l~l~<1)

~

l~'i )I))

n-Q fl~0 & fl

Now,

we have two

types

of contributions: contribution 1 where a =

fl

and contribution 2 where o

# fl.

We

separate

the two contributions

s(q,i)/s(q, o)

=

ii

+

i~ (7)

and for

simplicity (see

discussion in Sect.

8),

we assume that the

entanglement

"distance"

along

the

polymer

is a constant

S~+i S~

= S

(8)

Contribution

gives

Ii

"

~~45

/~

ds

/~

ds' exp

(-

~~

([z(s, t)

z

(s', 0)]~) (9)

o o 2

where the coordinates

z(0,t)

and

z(S, t)

remain fixed in time

(see Fig.3).

t«L t-L

~~~ t=0

a~

b)

Fig.

3.

a) Image

of contribution I: the

points

z

is,

to and z

(s', 0) represented by

crosses

belong

to the same segment which is shown at t

= 0 and at t

= tot the stress

points

on each side of the segment remain fixed.

b) Image

of contribution 2: the

points

z

is, to)

and z

Is', 0)

represented

by

crosses are

on two segments

separated by (at least)

one stress point and the segments t = 0 and t

= to

correspond

to

independent

Brownian chains.

To evaluate contribution

2,

we use the fact that two branches of

polymer

which are

separated

by

stress

points

are

completely independent

from each other and that each branch remains

Gaussian at all times

(see Fig.3). Thus,

contribution 2

gives (without forgetting

a factor

2)

12 =

~~

/~

ds exp

(-

~~

([z(s, t) z(0, )]~)) /~ ds'

exp

(-

~~

([z(0, 0)

z

(-s', 0)]~)

25 o 2

o 2

where

again

the coordinates

z(0,t)

and

z(S,t)

are fixed.

Nevertheless,

the chain remains Gaussian at all

times,

and the

preceding expression

is the

product

of two

independent quantities

which can be calculated

easily.

(6)

We have

~

dS exP

I-I ii~(St) ~(0 )i~il

-

£~

dS exP

l~l~l

=

I

exP

I-~l~ll

On the other

hand,

we

get

%"

dS' exP

I

l~~(°> °)

~

(-S' °)i~l

=

I°~

dS' exP

(- ~l~'l

-

Therefore,

we obtain

12 =

A

exP

I-~l~ll (lo)

Finally, equations (7), (9)

and

(10) give

5(q,t)/5(q,0)

=

( (1-

exp

~- ~~)j

~

(~~)

+

~( /~

dS

/~ dS'

exP

(- (lzls> t)

z IS'>

0)l~))

o o

where

z(0, t)

and

z(S, t)

remain fixed.

I-t,

Fig.

4.

Representation

of Ii the

points X(s,to)

and X

(o,s')

are

represented by

crosses; this

figure

is similar to

figure

3a but now the stress

points

coincide.

Let us now

displace

the

extremity,

in order to make it coincide with the

origin,

at all times

(see Fig.(4)).

Since

Z(S,t) Z(0,t)

%

Z(S, 0) Z(0, 0)

We Set

~l~>t)

"

)l~ls> o) ~lo< o)I

+

xl~<~) Using

the relations

lizis, 0) z10, 0)i~l

= S and

iizis, 0) z10, 0)1ixis, t)

x

is', 0)1)

= 0

we see that

izis, i)

z

(St, o)12)

=

l~ jl'~~ iizis, o) zio, o)121

+

(ixis, i)

x

(St, o)12)

=

~~

l'~~

+

(lXlS, t)

X IS'>

0)l~)

(7)

where we may set

X(0, t)

=

X(s,t)

= 0.

In this way,

equation (11) gives

~i~ t)/~i~ 0)

=

A

exP

(- ~l~ll i12)

+

( j~

ds

j~ ds'

exp

[-( is ')~]

exp

(- ( (ixis, i)

x

is', o)i~)

Since,

we have

X(0, t)

=

X(S, t)

=

0,

we can resolve

X(s, t)

into modes and from

Appendix A,

we find that

11~°~<

~) X

IS', 0)l~) ~( f

~ ~

j2n~rsj

~~~~,

lr

~ ~

n2 " ~ cos ~

+2 cos ~'~ ~~ +

~')

nit s ~ ~

(13)

s cos

~

)j

n ir

~ ~~~ s2

1j

We kn°'~~ ~~~~

jjxj~

~~ x

~/ o~j~i

-

is

s"

isi '~ /'~

(see Appendix B).

Consequently, equation (13)

becomes

(lXlS, t)

X

IS', °)l~)

=

~~ ~'~

~~)

~~ ~'~~

~

25

f 2nir (s s') 2nir (s

+

s')j

~ n~ir~

~)j

~2 ~2 ~~~ s ~~~ s ~~P

~7

n=1

Thus

equation (12)

can be

expressed

in the

following

way

~i~ t)/~ii~> 0)

= exP

I- ~l~ll

+

£~

dS

i~ dS'

exP

1~~ ~~ "l

q~S

°' 2nir

(s s') 2nir (s

+

s') n~ir~

~ ~~P

~2

~

~2 ~~~ s ~~~ s ~~~

~71 (~~)

~=i

4. Calculation of the limit

ti(q, cc) / ti(q, 0).

Before

transforming ti(q,t)/ti(q,0),

let us calculate the limit

ti(q, cc)/ti(q, 0).

~ii~ C~)/~iiS 0)

= exP

I- ~l~l

+

i~

dS

i~

ds' exP

1~~ ~~

~"

q~sf

I

[nit[s-s'[j jnir(s+s')jj

~ ~~P

(~W

~~~

7

~" s ~" s

(8)

o S(q.«)/S(q,0)

a6ymptot,c behaviour o 8

~ ~ ~

~, (,

o 4 ,,

o z

"$

,,~

~', '.

~'~raged

, Rancn

~~~ °~~~~ged

Q Q

',

~.~

',,

° 5 lo q<s>'/2

or qs'/2

Fig.

5. Plot of

§(q, cc)/§(q, 0)

versus

q(S)~/~ (averaged: Eq.(22));

the curve appears as a solid line.

It is

compared

with the curve

representing §(q,cc)/§(q, 0) (dot-dashed line)

in terms of q

S~/~ (non averaged: Eq.(19)),

and also with the

prediction

of Ronca

(Eq.(24):

dashed

line).

Using

the classical formula [8]

~ £ ~ cos(2irnz)

=

z~ (z(

+ < z < 1

(15)

ir

~

n 6

we have that

°'

2nir is s'[ 2nir is

+

s')

ss' s + s'

is s'[

7 (

n~ ~" 25 ~" 25 S~ ~ 25 25 ~~~~

and therefore

~~~~~~~~ P

~~~ ~~ ~~~~2~~~~~~~~~~~~~ ~

~~~

~~

q ° ~

~~l(I'll/~[iq,o)

=

j

exP

I- ~l~ll ~l~ ~

d~

'~'~~

~' ~~P

1~/~l

ii~~

"

j[~ ~~P~

~~~

~

~~ ~~~~~ ~~

~~~~ ~~~

(see Eq.(3)).

This result appears in

figure

5

(non averaged:

dot-dashed

line).

(9)

5. Transformation of

ti(q,t) / ti(q, 0).

We shall now use the

following

Fourier formula which can be obtained

by elementary

means

f cos(2irnz) II

exp

(-2ir~n~z))

~~

n=1

n2

~ ~ ~~~~ ~~~

~ ~~2

~f~

~~P

[~(~ p)~/2w)

~~~~

l +W

~ ~

~~~~~~~~~

~~

~

~~P

(~ (~ p)~ /2zu~)

Pm-m

(by putting

w =

zu~).

We transform

equation (14) by using

this

identity; putting

z =

7t/25~,

we obtain

~i(q

C~)/~i(q 0)

-

A

exP

(- ~l~ II

+

( i~

dS

£~ dS'

exP

1-

~~

~~

~~'

x exP

~~Sl~~ i~ j ~i~ exP (-

~

l

~~

PSI

~

7tlL~j

~~~

(-

~ ~~

'~) ?~'~~j

or

by introducing

the dimensionless constants Y and Z

ti(q, t)/ti(q, 0)

= [1

exp(-Z)]

+

~

/~

da

/~

db

exp(-Z[a

hi x exp

(- j~

Z 2

o o ir

/~

du

f

(exp (-

~~

~

#~~~~

exp

(-

~~ ~

~

#~~~~

o

~=_~

Y 'L Y 'L

Taking symmetries

into

account,

we can now reduce the domain of

integration

and

setting A=a-b=(s-s')/S

B=a+b= (s+s')/S

we can

integrate

over the domain 0 < A < B < 1.

The ratio

ti(q,t)/ti(q, 0)

is thus

given by

ti(q, t)/ti(q, 0)

=

[l exp(-Z)]

+ Z

/~

dA

/~

dB

z

~ ~

exP

lzA & i~

d1L

[( exP

1-

~~ l'~~~~

exP

1-

~~ l'~~~~ II

~~~~

The curves

representing

formula

(19)

is drawn for various values of Z in

figure

6

(non

averaged:

solid

line)

and in

figure

7

(non averaged:

dotted

line).

In the same

figures,

the

asymptotic

formula

(Z

=

cc)

of de Gennes is also indicated.

(10)

o s(q,t)/s(q,o)

o-a

z.5

°.6

3 5

0. 4

4 non averaged

',,

", "' 45

0.~ ",,

Roncn, dnehea "'~,- 5

Fig.

6. Plot of

5(q~t)/ti(q,0)

versus

q~~~/~t~/~

for various values of q

S~/~ (solid line, Eq.(19)).

For the

same values of q

S~/~,

the dashed lines

give

the

corresponding

results of Ronca.

6. Limits

q~S

~ cc

(de Gennes)

and lin~it

q~(7t)~/~

~ 0.

By taking

the limit Z =

q~S/2

~ cc, we recover the result of de Gennes

iii. Equation (19)

can be written in the form

siq1)/siq, o)

=

(ii expi-z)i

+

j j~

da

j~

db

expi-a)

~ ~~~

~~2 /~

~~

~ ~~~

~~

~)~~~~

~~~ ~~

~~~~~j ~

o p=-«

In this

expression,

let us take the limit Z -- cc; we obtain

m y 1 ~2

~(~i1)/~(~> °) /

~~

~~P

~~

@ /

~~

~~~

~y2q~2j~

0 0

which is the de Gennes formula.

On the other

hand,

the limits at t = 0

(Y

--

0)

of

b ([5(q, t) /5(q, 0)] -1)

are the same for our formula

(19)

and for the

simplified

de Gennes

formula,

since for very low

t,

the

entanglements

do not

play

any r61e. For Y < 1, de Gennes formula

gives

5(q>i)/s(q, o)

~ i

$

/°~

da

exp(-a) j~

du exp

~-))

= l

~

o

(11)

o s(q,t)/s(q,o)

q<S>'I'=Z o-a

0.6

,_

4

0.4

",,,j"'

'~/jjj)j)"~"---,---,

averaged

""'~~~~["~~'~~---

0 2 "~~'~'--~---

cc

non averaged dashed

-o.o

0 5 0 q?7'/~ti/?

Fig.

7. Plot of

5(q,t)/5(q, 0)

versus

q~~~/~t~/~

for various values of

q(S)~/~ (solid line, Eq.(23)).

The non

averaged

results

(Eq.(19))

for the same values of q

S~/~

appear in dashed lines.

Thus,

the

asymptotic

limit

y2 ~4~~

5(q,t)/5(q, 0)

ci 1-

= 1-

(20)

is valid in both cases.

7.

Dispersion

of S: value of

ti(q, t) / ti(q, 0).

Until now, we calculated

ti(q,t)/ti(q, 0)

in terms of S I-e- the

"length"

between

entanglements (measured along

the

polymer),

but we can also account for the

dispersion

of S.

Neglecting

correlations between

entanglements,

we may assume that these

points

are chosen at random

on the

polymer,

and therefore that the

probability

law of S or Z is

given by

a Poisson law

Pois)

=

) exPi-S/iS))

or

j21)

PIZ)

=

)exPi-Z/iZ))

with

~ ~

/

dZ

P(Z)

= and

/

dZ

ZP(Z)

=

(Z)

o o

(12)

where

(Z)

=

q~(S)/2

is the mean value of Z.

Then

by retracing

all the

steps

in the derivation

ofequation (14),

we see that

ti(q,t)/ti(q,0)

may

be obtained

by averaging ti(q,t)/ti(q,0) directly

over

S,

or over Z.

(This

is not a

priori obvious).

Thus,

it is easy to calculate the average of

ti(q,cc)/ti(q,0) (Eq.(17)) by using equation (21) 5(q, co)/§iq, o)

=

%" )

exP

I- II IA

exP

I- ~l~ll ~l~ i~

d~

'n12~ ii

exP

I- ~~l~l1

and we obtain

(with (Z)

=

q~(S)/2)

§jq, cc) /§jq, 0)

=

jInjl

+

jZ)) () f~

dz

~)'~jj j~ (22)

This formula is

plotted

in

figure

5

(averaged:

solid

line).

In the

general

case, we set

(see Eq.(19))

ti(q,t)/ti(q,0)

=

~ (1-

exp

(-@)j

+ F

(q~(7t)~/~, q~S/2)

q

We obtain after

averaging

5(q,t)/5(q, 0)

=

)In(I

+

iZ))

+

/~ dp e~PFIY,p(z)) 123)

where

F(Y, Z)

is

given by equation (19)

F(Y, Z)

" ~

/~

~~

~

~~

y p=+« A 2

~Z~j

exp

(- ~~ ~~~~ ~

l

f

d

fl

~

x exp

-ZA

@

o

~p=-«

~~~ ~~ ~

Unfortunately,

no

simplification

occurs in

equation (23). Nevertheless,

the

integral

can be calculated on

a computer and the

resulting

curves are

plotted

in

figure

7

(averaged:

solid

line).

The limit Z

= cc found

by

de Gennes appears in this

figure.

The results are

compared

with the

simple

case where

we do not average

putting

S

=

IS)

(non averaged:

dashed

line).

This

averaging

has two consequences:

a)

the distance between the curves is

reduced;

b)

a softer

dependence

of the curves with

respect

to Y

=

q~(7t)~/~

is obtained.

8. Comments on Ronca's

theory.

In

1983,

Ronca [5] devised a

theory,

valid in the intermediate

region

and therefore amenable to a

comparison

with

experimental

data and our results. For this reason, we summarize here the main

predictions.

(13)

First,

Ronca expresses the

asymptotic

value

ti(q,cc)/ti(q,0)

in terms of

(r()

which is the

mean square distance between

entanglements. Therefore,

we

put

jrjj

= 35

and,

in this way, the

asymptotic

value of Ronca's result is

[ti(q, cc) /ti(q, 0)]R

" ~

/~

du

exp

-

~

(u

+

~~)j

~

«° ~z

~~

124)

~~ ~~~ ~

~ ~~~ ~

~

This result appears in

figure

5

(dashed lines).

We see that the result is not very very far from

our non

averaged result,

but

steeper,

and very far from our final

averaged

result.

Ronca's

general

result reads

lsiq, t)/siq, 0)lR

=

( /~

du exP

(- @g (vi ot)]

where

(setting erfc(z)

=

) Jf

dt

e~~')

we have

g(u, 9)

= 2u +

£exp(-u)

erfc

16

Vi) £ exp(u)

erfc

(fi

+

Vi)

lr 2 9 1r 2 9

~~ ~

r~/~

~~~~

~~

%~

~~ ~~~~

~~~~~~~

~~~

~

~

2i12 ~

In this

formula,

wo

according

to Ronca has an

expression (wo

"

1/16 6~T)

which makes a

comparison

difficult.

Therefore,

we

ignore

it and

we

put (see Eq.(AA))

~~ ~~7

~°°

~2~° @

where p is a coefficient which will be determined

by requiring

the

validity

of Ronca's formula for small t

(to

the order

Y~

=

q~7t).

Now,

we set

q~S

Zu

~ 8 ~ 4

~~~ "~~ ~~~~

oi/2

=

jiwi)1/2

=

17j~/~

=

iii- ~)

@

=

~l= °)

Consequently,

if we know p, we can

plot [ti(q, t)/ti(q, 0)]R

in terms of Y =

q~(7t)~/~

for various values of

Z~/~

= q

S~/~

We find

~~~~'~~~~~~'~~~~ /~

~~ ~~~ ~

~~ ~~~' ~~ ~

f(a p)

= exp

(-fl~) /~

dt

sinh(2tfl)

exp

[-(t

+

a)~)

'

~ri/2

~

(14)

Now,

let us determine p

by calculating [§(q, t)/ti(q, 0)]R

for small values oft. For Y

-

0,

we

can write

lslq, t)/slqi o)lR

~

"

~(~' /

d£Y

fl~, fl)

0

~~~~~

j~~ p~

-~

~fl f~

dt exp

[-(t

+

a)~]

'

~l/2

~

and

fl

=

pY/22

Thus

~ ~

@lq

i

t)/~(q, 0)lR

Ci

(~(( /

da

/

dt

t exp

j-(t

+

a)

~j

~y2

° °

(25)

m 1- ~

By comparing,

with the exact result

given

in formula

(20), equation (25) gives

P = 4

126)

Therefore,

our

interpretation

of Ronca's

theory

leads to

@lq,t)/~lq, 0)lR

"

/~

da

eXP

(-a ~f (), ~)) (27)

with

f(o, fl)

=

£

~

exp

(-fl~) /

dt

sinh(2tfl)

exp

(-(t

+

a)~)

ir o

A

plot

of this formula is

given

in

figure 6,

where it is

compared

with our result

(Eq.(24)).

We see that Ronca's

theory predicts

curves which are much more

widespread

than ours

(see Fig. 5). Actually

these curves are unable to fit

properly

the

experimental

data of Richter et al. [6]

(see Fig.

8 in this article or the

Fig.

13

top,

in their

article) though

this

discrepancy

did not appear

previously

so

clearly.

This

difficulty

occurs to a smaller extent for the curves cor-

responding

to

equation (24)

but the

averaging

process described in section 9

again

reduces the distance between the curves

(for

a

given S);

thus

they

lead to an

agreement

with

experiments

as will be seen in the next section.

9.

Comparison

with

experiments

and conclusion.

Curves

representing

the form factor of

polyethylene (hydrogenated polybutadiene)

measured at T = 509 K

by

D. Richter et al, are

plotted

in

figure

9 versus

q~7~/~t~/~

and

compared

with

our

theory.

The values of 7 and

IS)

are chosen so as to obtain the best fit. Tbe theoretical

curves are functions of

q~(S) /2

and obtained

by averaging

over

S; they correspond

to

equation

(28).

The mean distance between

entanglements

is

IS)

= 12.25

nm~.

The coefficient 7 of the Rouse

equation

is for

polyethylene

7 = 0.8

nm~(ns)~~. (In

Richter's notation this

gives W£~

=

97

I-e-

W£~ (10~~~i~s~~j

= 7.2 whereas he finds

W£~

= 7.0 +

0.7).

The

agreement

is

quite good considering

the uncertainties. The

discrepancy

observed with Ronca's

theory

does not appear. This proves the

validity

of our

approach.

One may still doubt

(15)

s(q,t)/s(q,o)

i o

7"0 8 nm~ (ns)~~

<S>~/~=3 5

S (Q,f) IS (Q,0)

nm

~ ~

iooio ~

o 6

B

D

~ °~aO~

~

0.lsskl

° ~

o o

°

~

~

~

fi

~o ~~ ~8

A

q=078nm~~ q<S>'/?=273

Q2 j2 @fi

~ ~ ~. ~"' '~ ~~~'

~<~>'~~"~

°~

C q=1 55 nm~'

q<S>~/?=5

43

~~~.

~ °'°

o 5 io q2yi/2t/2

Fig.

9

Fig.

8.

Comparison

of

experimental

data

by

Richter with Ronca results: the

discrepancy

is obvious

(according

to Richter et al.

[6]).

Fig.

9.

Comparison

of

ti(q, t)/ti(q, 0)

with

experimental

data of Richter

(the

same as in

8).

The solid line

correspond

to our theoretical results

(Eq.(23)).

The curves were fitted with the values

~ = 0.8

nm~(ns)~~

and

IS)

= 12.25

nm~.

that

polymers

remain

completely

fixed

(during

a certain

time)

at stress

points;

however there is no evidence for

assuming

any motion.

Thus,

this

calculation,

which is based on very

transparent assumptions,

is in very

good agreement

with

experiments.

It shows

that,

in this

domain,

the notion of

entanglements

is valid and it is an additional

justification

of the

primary importance

of this

concept

for the

interpretation

of the mechanical

properties

of

polymers. Thus,

it may be

expected that,

in the

future, entanglements (or

stress

points)

will be used

jointly

with Rouse

equation

to describe all

types

of motions that do not

depend

on the

chemistry

of

polymers.

At

present,

there remain

difficulties with this program but their solution is

beyond

the scope of this article.

Acknowledgements.

The author would like to thank D. Richter for communication of his results before

publication.

(16)

Appendix

A. Mode

expansion.

Since, X(0,t)

=

X(S,t)

=

0,

we can resolve

X(s,t)

into modes as follows

XIS, t)

=

AL in (t) Sinln~rs/S) IA-1)

and therefore

XIS, t)

X

IS', °)

=

4~ [(nit) Sinln~rs/S) in lo)

Sin

In~rs'/S)I lA.2)

Using

definition

(A.I)

in Rouse

equation (I),

we find

((nit)

=

-n~W (nit)

+

infit) iA.3)

where

w = 7

~r~/S~ (A.4)

and

~

fn,~(t)

=

v5

ds

sin(nits/S) fx(s, t)

Hence,

we deduce

ifn,fit))

= °

ifn,f it)fn<,f it'))

"

)6n,n's it t') i~'~~

The solution of the

preceding equation (A.3)

is

t

fn(t)

=

in e~"'~~

+

/

dt

e~"'~(~-~')

f~,~ (t') (A.6)

o

Putting

this

expression

in

equation (A.2),

we find

X(S,t)

X (S~,

0)

"

If Sin

l'~l~l e-"~~~

Sin

(~]~'II

+ sin

(~i~) f~ di' e-n~wit-t')Jn~

(11)

(17)

from which we obtain

(~~~~'~~

~

~~~'°~~~l

~ ~

~

i~~i ~~~ l~l~l ~~~~~

~~~

(~l~'II

~ ~

~]

~~~~

l~l~l

Now, by modifying equation IA-G),

one write

o

in

=

/

dt

e+"'~~ fn,~(t)

and

therefore,

from the

preceding equation

and from

equations IA-S),

we find the classical result

j2

~

~/~2 ~2

n) Finally,

we

get

(~~~~~~~

~ ~~'~

~~~~ ~

l

~ ~

~~~

~~~~~

~~~

~~~~'~

~_?)

+ 2

C°S '~'~

~i+ /~l

C°S

'~'~ ~i /~ II

exP

1-'~li~7tl1

Appendix

B.

From

equation (13),

we know that

([X(S, 0)

X

is', 0)]~)

"

$ jj /2 ~

~~~

~~~~)

~~~

~~~'~~

~ ~~~

~~ ~s

~'~ ~ ~ ~~~

~~ ~~ ~'~ ~

~=

By applying

the classical formula [8]

(Eq.15)

we find

~~~~~'~~ ~~~'~~~~~

~

~~

~

~ ~~

~

~

(s s')~ is s'[ (s

+

s')~ (s

+

s')

~~ 45~ 25 ~ 6 ~ ~

45~ 25 ~ 6

~ ~~

~

)2 ~2

~

~~

~ ~~

s~

and th~~~~°~~

(jx~s,o~

x

~/, o~j~j is S"~Sj

IS

S"i (B.1)

(18)

References

[II

de Gennes

P-G-, Physica

3

(1967)

37.

[2] de Gennes

P-G-,

J. Chem.

Phys.

55

(1971)

572.

[3] Doi

M.,

Edwards

S-F-,

J. Diem. Soc.

Faraday

Trans. 74

(1978)

1789, 1802, 1818; The

Theory

of

Polymer Dynamics (Clarendon Press, Oxford, 1986) Chapter

6.

[4]des

Cloizeaux J.,

Europhys.

Lett. 5

(1988)

437; Erratum

Europhys.

Lett. 6

(1988)

475;

Macromolecules 23

(1990)

4678, 25

(1992)

835; J.

Pllys.

I France 3

(1993)

61.

[5] Ronca G., J. Chem.

Phys.

79

(1983)

1031.

[6] Richter D., Butera

R.,

Fetters

L.J., Huang J-S-, Farago

B., Ewen

B.,

Macromolecules 25

(1992)

6156

(the

lack of agreement with Ronca results was less obvious in

previous publications;

see

Phys.

Rev. Lett 64

(1990)1389.

[7] des Cloizeaux

J.,

Jannink

G., Polymers

in solution

(Clarendon

Press,

Oxford, 1990).

[8]Gradshtein I-S-, Ryzhik J.M.,

Table of

Integral

Series and

Products, (Academic

Press,

1965)

formula IA 44-3.

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