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(Reference retrieved automatically from Web of Science through information on FAPESP grant and its corresponding number as mentioned in the publication by the authors.)

Modeling of thermodynamic behavior of PVT properties and cloud point temperatures of polymer blends and polymer blend plus carbon dioxide systems using non-cubic equations of state

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Author(s):
Arce, Pedro F. [1] ; Aznar, Martin [1]
Total Authors: 2
Affiliation:
[1] State Univ Campinas UNICAMP, Sch Chem Engn, BR-13083970 Campinas, SP - Brazil
Total Affiliations: 1
Document type: Journal article
Source: Fluid Phase Equilibria; v. 286, n. 1, p. 17-27, NOV 25 2009.
Web of Science Citations: 12
Abstract

In recent years, many factors influencing phase behavior of polymer blends have been studied because of their widely technological importance, as a simple method of formulating new materials with tailored properties which make them suitable for a variety of applications. This work has three main goals which were reached by using the Perturbed Chain Statistical Associating Fluid Theory (PC-SAFT) and the Sanchez-Lacombe (SL) non-cubic equations of state (EoS), which in previous works have shown their ability to handle long chain and associating interactions. First, both equations of state were tested with the correlation of the specific volumes of pure blends (PBD/PS, PPO/PS, PVME/PS, PEO/PES) and the prediction of the specific Volumes for blends; second, the modeling of blend miscibilities in the liquid-liquid equilibria (LLE) of PBD/PS, PPG/PECE, PVME/PS, PEO/PES, and PnPMA/PS blends: third, the modeling of the phase behavior of PS/PVME blends at various compositions in the presence of CO(2)- PC-SAFT and SL pure-component parameters were regressed by fitting pure-component data of real substances (liquid pressure-volume-temperature, PVT, data for polymers and vapor pressure and saturated liquid molar Volume for CO(2)) and the fluid phase behavior of blend systems were simulated fitting one binary interaction parameter (k(ij)) by regression of experimental data using the modified likelihood maximum method. Results were compared with experimental data obtained from literature and an excellent agreement was obtained with both EoS, which were also capable of predicting the fluid phase behavior corresponding to the critical solution temperatures (LCST: lower critical solution temperature, UCST: upper critical solution temperature) of blends. (C) 2009 Elsevier B.V. All rights reserved. (AU)