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Polymer Blend: The Gibbs free energy of mixing for a polymer blend is given by Strobl p. 88 eqn. 3.86: D G

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Polymer Blend:

The Gibbs free energy of mixing for a polymer blend is given by Strobl p. 88 eqn. 3.86:

∆Gmix = RTnc ((φa lnφa)/Na + (φb lnφb)/Nb + φa φb χ)

where the number of moles of polymer a is given by na =Vφa/va and va is the molar volume of polymer a, V is the system volume. The degree of polymerization of polymer a is given by Na = va/vc where vc is the molar volume of a reference unit. For a symmetric system where Na = Nb this can be written,

∆Gmix = RT(na + nb)(φa lnφa + φb lnφb + φa φb (χN))

the term (χN) is the governing term for miscibility. The critical point is where (χN) = 2 for a binary blend of polymers. This is obtained by setting the second derivative with respect to molar fraction to 0 (spinodal equation) and then setting the composition to 0.5 (the critical point). It can also be obtained by setting the third derivative to 0.

The binodal (miscibility limit) is determined by setting the first derivative.

Appendix 4:

A concentration fluctuation at wave vector k is associated with a change in the Gibbs free energy that is described by equations of the type given above. For a finite fluctuation a generic

expression in terms of linear response theory is:

δG = akφk 2/2

where ak is a modulus, i.e. the magnitude of the free energy response to a fluctuation of size φk. Positive and negative fluctuations have the same effect.

A field Ψk can be associated with this fluctuation, i.e. if the fluctuation is viewed as being driven by a field such as a thermal gradient field.

Ψk = akφk

This can also be expressed as,

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2

φk = αkΨk

where αk is the susceptibility of the concentration to a potential, Ψk. αk is also called the response coefficient. It is directly related to the scattered intensity, S(q) = kTαq. We also have that αk = 1/ak.

The differential expression for the change in free energy is given by, dG = Ψkk = akφkk

Fluctuations are driven by thermal energy and the distribution in space is random and follows Boltzmann statistics,

p(φk) ~ exp(- akφk 2/2kT)

so the mean square fluctuations are given by the variance of the distribution,

k

2> = kT/ak = αkkT

The scattered intensity from a homogeneous system is governed by the mean square fluctuations, vc Sc(q = k) = <φk

2> = αkkT

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