A global investigation of phase equilibria using the Perturbed-Chain Statistical-Associating-Fluid-Theory (PC-SAFT) approach
L. Yelash, M. Mueller, W. Paul, K. Binder

TL;DR
This paper investigates the PC-SAFT model's ability to predict phase equilibria in one-component systems, revealing complex phase behavior including multiple critical points and demixing phenomena, supported by analytical and simulation studies.
Contribution
It provides a comprehensive analysis of PC-SAFT's predictions for phase behavior, uncovering phenomena like liquid-liquid and gas-gas equilibria not typically associated with single-component systems.
Findings
Identification of multiple phase separation regions in PC-SAFT models
Discovery of liquid-liquid and gas-gas demixing in one-component systems
Correlation of polymer melt density data using PC-SAFT
Abstract
The recently developed Perturbed-Chain Statistical Associating Fluid Theory (PC-SAFT) is investigated for a wide range of model parameters including the parameter m representing the chain length and the thermodynamic temperature T and pressure p. This approach is based upon the first-order thermodynamic perturbation theory for chain molecules developed by Wertheim and Chapman et al. and includes dispersion interactions via the second-order perturbation theory of Barker and Henderson. We systematically study a hierarchy of models which are based on the PC-SAFT approach using analytical model calculations and Monte Carlo simulations. For one-component systems we find that the analytical model in contrast to the simulation results exhibits two phase-separation regions in addition to the common gas-liquid coexistence region: One phase separation occurs at high density and low temperature.…
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