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Molecular modelling of entangled polymer fluids under flow The ...

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46 CHAPTER 2. INTRODUCTION TO MOLECULAR RHEOLOGY<br />

Note that in the limit <strong>of</strong> a large potential F ≫ 1 the particle will always accept the<br />

opportunity to hop to the right. Similarly, a hop to the left is evaluated by normalising<br />

the Boltzmann distribution between −a...a and finding the probability <strong>of</strong> the particle<br />

being between −a...0. This gives<br />

P − (a) =<br />

1<br />

. (2.57)<br />

1 + eαa From these probabilities the first and second moments <strong>of</strong> the particle displacement<br />

distribution can be found.<br />

〈x(t)〉 = νt [P + (a) − P − (a)]<br />

[ e αa ]<br />

− 1<br />

= νta<br />

e αa + 1<br />

Taking αa to be small and expanding the exponentials to first order.<br />

≈ νta<br />

[ αa<br />

]<br />

2<br />

= νta2<br />

2k B T F<br />

Using F = 3k BT<br />

a 2<br />

∂ 2 R x(s)<br />

∂s 2<br />

from equation 2.50 gives<br />

〈x(t)〉 = 3ν 2<br />

∂ 2 R x (s)<br />

∂s 2 t (2.58)<br />

<strong>The</strong> second moment follows similarly<br />

〈<br />

x 2 (t) 〉 = νta 2 [P + (a) + P − (a)]<br />

= νta 2 .<br />

(2.59)<br />

<strong>The</strong>se moments can be mapped to an effective Langevin equation<br />

where<br />

dx<br />

dt = 1<br />

ζ eff<br />

F eff + g(t). (2.60)<br />

〈<br />

g(t)g(t ′ ) 〉 = 2k BT<br />

ζ eff<br />

δ(t − t ′ ). (2.61)<br />

<strong>The</strong> unknown quantities ζ eff and F eff are chosen so that equation 2.60 has the same<br />

distribution <strong>of</strong> x(t) as the obstructed system solved above. Taking a direct average <strong>of</strong><br />

equation 2.60 gives<br />

〈x(t)〉 = F eff<br />

ζ eff<br />

t. (2.62)

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