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Received October 30, 2016
Accepted June 20, 2017
articles This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
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Prediction of critical temperature, critical pressure and acentric factor of some ionic liquids using Patel-Teja equation of state based on genetic algorithm

1Department of Chemical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran 2Young Researchers Society, Shahid Bahonar University of Kerman, Kerman, Iran 3Department of Chemical Engineering, Faculty of Engineering, Shahid Bahonar University of Kerman, Kerman, Iran, Korea
Korean Journal of Chemical Engineering, October 2017, 34(10), 2686-2702(17), 10.1007/s11814-017-0166-2
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Abstract

Critical properties and acentric factor (ω) of 31 ionic liquids (ILs) were obtained by using vapor-liquid equilibrium data of solvent+IL consisting of P-T and P-x experimental data, based on three-parameter Patel-Teja equation of state and genetic algorithm. Optimized Pc, Tc and ω of ILs with Peng-Robinson equation of state (PR EoS) were used to model the behavior of phase equilibria of solvent+IL. Due to lack of experimental data for optimized properties, the validation was done by comparing them to the results in the literature. In each comparison the average absolute percent deviation (AAPD) for optimized properties was based on P-T experimental data, with PR EoS was minimum. For more confidence in the correctness of optimized properties, the behavior of phase equilibria of two new mixtures (i.e., water+emimDMP and methanol+emimDMP), the density and vapor pressure of some pure ILs were predicted by PR EoS, which the prediction of this EoS was satisfactory.

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