Abstract
A multicomponent liquid mixture viscosity model based on the Eyring and nonrandom two-liquid (NRTL) theories was recently presented and evaluated over the entire concentration range using data from several polymer−solvent systems. In this paper, the original component-based Eyring−NRTL viscosity model is transformed to a segment-based Eyring−NRTL viscosity model for polymer−solvent and polymer−polymer systems. The segment-based approach provides a more physically realistic model for large molecules when diffusion and flow is viewed to occur by a sequence of individual segment jumps into vacancies rather than jumps of the entire large molecule. Evaluation of a segment-based Eyring−NRTL model with polyisobutylene−isooctane mixture viscosity data demonstrates an improvement in the correlation capability over the Mn range of 900−1 200 000. Additional evaluations with polystyrene in styrene, poly(ethylene glycol) in oxolane (THF), poly(dimethylsiloxane)s in pentamer, and poly(dimethylsiloxane) blends provide further support for using the segment-based Eyring−NRTL viscosity model to correlate the viscosity of mixtures containing polymers. For several cases evaluated, the segment-based Eyring−NRTL viscosity model is also found to provide some predictive capability because the binary parameters are essentially independent of polymer Mn.
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