Hybrid Particle Swarm-Ant Colony Algorithm to Describe the Phase Equilibrium of Systems Containing Supercritical Fluids with Ionic Liquids

作     者：Juan A.Lazzus 

作者机构：Departamento de FisicaUniversidad de La SerenaCasilla 554La SerenaChile 

出 版 物：《Communications in Computational Physics》 (计算物理通讯（英文）)

年 卷 期：2013年第14卷第6期

页      面：107-125页

核心收录：

学科分类：07[理学] 0704[理学-天文学] 0701[理学-数学] 0702[理学-物理学] 070101[理学-基础数学] 

主　　题：Particle swarm optimization ant colony optimization vapor-liquid equilibrium ionic liquids supercritical fluids Peng-Robinson equation of state 

摘      要：Based on biologically inspired algorithms,a thermodynamic model to describe the vapor-liquid equilibrium of binary complex mixtures containing supercritical fluids and ionic liquids,is *** Peng-Robinson equation of state with the Wong-Sandler mixing rules are used to evaluate the fugacity coefficient on the ***,a hybrid particle swarm-ant colony optimization was used to minimize the difference between calculated and experimental bubble pressure,and calculate the binary interaction parameters for the excess Gibbs free energy of all systems *** are carried out in nine systems with imidazolium-based ionic *** results show that the bubble pressures were correlated with low deviations between experimental and calculated *** deviations show that the proposed hybrid algorithm is the preferable method to describe the phase equilibrium of these complex mixtures,and can be used for other similar systems.