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Handbook of Solvents - George Wypych - ChemTech - Ventech!

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362 Semyon Levitsky, Zinoviy Shulman<br />

The differences between other relaxation times in the both spectra are more essential:<br />

the distribution, predicted by the KRZ model, is much narrower than that predicted by the<br />

Rouse theory.<br />

The KSR and Rouse models were subjected to numerous experimental tests. A reasonably<br />

good agreement between the theoretical predictions and experimental data was demonstrated<br />

for a variety <strong>of</strong> dilute polymeric solutions. 14 Further advance in the<br />

molecular-kinetic approach to description <strong>of</strong> relaxation processes in polymeric systems<br />

have brought about more sophisticated models. 15,16 They improve the classical results by<br />

taking into account additional factors and/or considering diverse frequency, temperature,<br />

and concentration ranges, etc. For the aims <strong>of</strong> computer simulation <strong>of</strong> the polymeric liquid<br />

dynamics in hydrodynamic problems, either simple approximations <strong>of</strong> the spectrum, F 1(λ),<br />

or the model <strong>of</strong> subchains are usually used. Spriggs law 17 is the most used approximation<br />

Z<br />

λ = λ / k , z ≥<br />

[7.2.29]<br />

1k 11 2<br />

The molecular theory predicts strong temperature dependence <strong>of</strong> the relaxation characteristics<br />

<strong>of</strong> polymeric systems that is described by the time-temperature superposition<br />

(TTS) principle. 18 This principle is based on numerous experimental data and states that<br />

with the change in temperature the relaxation spectrum as a whole shifts in a self-similar<br />

manner along t axis. Therefore, dynamic functions corresponding to different temperatures<br />

are similar to each other in shape but are shifted along the frequency axis by the value a T; the<br />

latter is named the temperature-shift factor. With ωa T for an argument it becomes possible<br />

to plot temperature-invariant curves Re{G 1*(ω a T)} and Im{G 1*(ω a T)}. The temperature<br />

dependence <strong>of</strong> a T is defined by the formula<br />

a<br />

T<br />

( )<br />

( p 0 s 0 )<br />

( T0) T0 p() T − s()<br />

T<br />

( TT ) ( T) − ( T)<br />

ρ η η<br />

=<br />

ρ η η<br />

[7.2.30]<br />

The dependence <strong>of</strong> viscosity on the temperature can be described by the activation<br />

theory 19<br />

−1 −1<br />

[ E ( RT ) ( T0 T 1) ] 0 E ( RT0) ( T0 T 1)<br />

[ ]<br />

η = η exp / − , η = η exp / − [7.2.31]<br />

p p0 p G 0<br />

s s s G<br />

where:<br />

Ep,Es activation energies for the solution and solvent, respectively<br />

The Es value is usually about 10 to 20 kJ/mol. For low-concentrated solutions <strong>of</strong> polymers<br />

with moderate molecular masses, the difference between these two activation energies,<br />

ΔE=Ep-Es, does not exceed usually 10 kJ/mol. 18,20 For low-concentrated solutions <strong>of</strong><br />

certain polymers in thermodynamically bad solvents negative ΔE values were reported. 20<br />

The Newtonian viscosity <strong>of</strong> solution related to the polymer concentration can be evaluated,<br />

for example, using Martin equation 18<br />

where:<br />

( ) []<br />

η / η = 1 + c~ exp k c~ , c~ = c η<br />

[7.2.32]<br />

p s M<br />

~ c reduced concentration <strong>of</strong> polymer in the solution<br />

[η] intrinsic viscosity

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