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Abstract In the present work, vapor-liquid equilibrium (VLE) for binary systems containing 1-alkanols, n-alkanes and CO2 were examined to compare the predictions of a soft computing model namely least square… Click to show full abstract
Abstract In the present work, vapor-liquid equilibrium (VLE) for binary systems containing 1-alkanols, n-alkanes and CO2 were examined to compare the predictions of a soft computing model namely least square support vector machine optimized by coupled simulated annealing (CSA-LSSVM) with the predictions of two thermodynamic models namely perturbed chain statistical fluid association (PC-SAFT) and the Peng Robinson model coupled with Wong-Sandler mixing rule and non-random two liquid model (PR-WS-NRTL). Results revealed that all of the three models provide acceptable predictions for calculation of the vapor-liquid equilibrium data. However, it was found that the CSA-LSSVM model provides better predictions in comparison with the PC-SAFT and PR-WS-NRTL models in the studied systems.
Journal Title: Fluid Phase Equilibria
Year Published: 2020
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