How Pure Components Control Polymer Blend Miscibility

Ronald P. White

doi:10.1021/ma3018124

How Pure Components Control Polymer Blend Miscibility

2012-11-02

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DOI：10.1021/ma3018124

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Fundamental insight regarding what drives polymer blend immiscibility/miscibility requires understanding the enthalpic and entropic contributions to the free energy of mixing. In this modeling investigation we show that two quantities, connected to the molecular characterization parameters, serve as separate controls on these thermodynamic mixing functions The g parameter is defined as g = epsilon(ij)/(epsilon(ii)epsilon(jj))(1/2), with epsilon representing a segment-segment interaction energy, which may be obtained using minimal data on the mixture (for example, a phase separation temperature), appears to be correlated with the enthalpy of mixing. Characterization of the pure components, for example by fitting equation of state data, yields ell Values. In this work we present evidence that vertical bar epsilon(ii) - epsilon(jj)vertical bar controls the entropy of mixing: Furthermore, by analyzing the separate ideal and excess contributions to the entropy of mixing, We demonstrate that it is the excess contribution in particular that is strongly influenced by the value of vertical bar epsilon(ii) - epsilon(jj)vertical bar, becoming increasingly unfavorable as vertical bar epsilon(ii) - epsilon(jj)vertical bar increases. This sheds further light on a correlation noted in recent work of ours [White; et al. Macromolecules 2012, 45, 1076-1084], that for LCST-type blends an increasingly favorable epsilon(ij) (meaning an increasing Value of g) is needed to offset a greater mismatch in epsilon(ii) and epsilon(jj) values (meaning an increasing vertical bar epsilon(ii) - epsilon(jj)vertical bar difference) in order to maintain even partial miscibility Given the importance of the excess entropy. of mixing in driving miscibility, especially for LCST-type blends, We conclude that knowledge of vertical bar epsilon(ii) - epsilon(jj)vertical bar can lead to a degree of a priori insight in assessing the mixture thermodynamics in the absence of any mixture data.

Keyword:

EQUATION-OF-STATE

LATTICE-FLUID THEORY

STATISTICAL THERMODYNAMICS

POLYOLEFIN BLENDS

MOLECULAR-WEIGHT

CHARACTERISTIC PARAMETERS

PHASE-SEPARATION

MIXING BEHAVIOR

CLUSTER THEORY

MIXTURES

How Pure Components Control Polymer Blend Miscibility

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