Mean field approach binary interaction

Binary interaction model Intramolecular repulsions Copolymer-homopolymer miscibility Copolymer-copolymer miscibility Terpolymer-terpolymer miscibility Terpolymer-homopolymer miscibility Mean-field approach to obtain interaction parameters Spinodal and phase separation... 

The window of miscibility in this case is an ellipse contained within the boundaries of the copolymer composition map. Additional examples of the mean field approach to predict the miscibility window for cop olymer-copolymer blends include SAN/SMMA, SMMA/MMA-AN and SAN/MMA-AN [188], amSAN/SAN and amSAN/SMA [202], SMMA/SMMA (different compositions) [203 ], SMA/tetramethyl Bis A polycarbonate [204], chlorinated PVC (different compositions), chlorinated polyethylene (different compositions and MMA-EMA (different compositions) [177] and SAN/NBR [205]. This approach has also been applied to ternary blends of PPO/PS/poly(o-chlorostyrene-co-p-chlorostyrene) [206]. The mean field binary interaction model approach was also successfully applied to polyamides based on various combinations of aliphatic and aromatic units [207]. 

The introduction of a relevant expression for the critical determinant in the mean-field lattice gas model for binary systems is discussed here. It leads to an alternative and thermodynamic consistent method of adjusting two-particle interaction functions to experimental critical binary 1iquid-vapour densities. The present approach might lead to new developments in the determination of MFLG parameters for the mixture in small-molecule mixtures and in polymer solutions and polymer mixtures (blends). These relevant critical conditions appear because of the extra constraint, which is the equation of state, put on the hole model, and are... 

A procedure for mapping the miscibility space of homopolymer-copolymer or copolymer-copolymer blends referred to as the mean field binary interaction model has proven to be quite useful. This approach was developed and pubhshed independently by three different laboratories [171-173].A number of papers [174—178] employing this approach have demonstrated excellent agreement of prediction with experiment. 

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