سال انتشار: ۱۳۹۱

محل انتشار: کنفرانس بین المللی مدل سازی غیر خطی و بهینه سازی

تعداد صفحات: ۶

نویسنده(ها):

Mostava Vatani – Department of Chemical Engineering, Faculty of Engineering, University of Kashan, Kashan, P.O. Box 87317-51167, Iran
Morteza Asghari –
Gholamreza Vakili-Nezhaad –

چکیده:

Parameter estimation problems for liquid–liquid equilibrium data modeling are challenging due to the nonlinearity of thermodynamic models. In this work, the stochastic global optimization technique, namely Genetic Algorithm is applied to calculate the interaction and non randomness parameters of NRTL model. Forty ternary extraction systems containing benzene, hexane and different ionic liquids as solvent at various temperatures reported in literature are selected. The parameters of NRTL model are calculated and the global rmsd value of 0.0076 for 357 tie-lines shows that these parameters can be considered as the global parameters of NRTL model in the studied ternary systems. The global parameters are applied in all systems and rmsd values for them are reported. The results showed that Genetic Algorithm as a powerful and effective tool can be used to optimize highly nonlinear problems in phase equilibrium modeling