Gharagheizi F., Eslamimanesh A., Sattari M., Mohammadi A.H., Richon D.
Department of Chemical Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran; MINES ParisTech, CEP/TEP, Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France; Saman Energy Giti Company, Postal Code 3331619636, Tehran, Iran; Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, King George V Avenue, Durban 4041, South Africa
Gharagheizi, F., Department of Chemical Engineering, Islamic Azad University, Science and Research Branch, Tehran, Iran; Eslamimanesh, A., MINES ParisTech, CEP/TEP, Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France; Sattari, M., Saman Energy Giti Company, Postal Code 3331619636, Tehran, Iran; Mohammadi, A.H., MINES ParisTech, CEP/TEP, Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France, Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, King George V Avenue, Durban 4041, South Africa; Richon, D., MINES ParisTech, CEP/TEP, Centre Énergétique et Procédés, 35 Rue Saint Honoré, 77305 Fontainebleau, France, Thermodynamics Research Unit, School of Chemical Engineering, University of KwaZulu-Natal, King George V Avenue, Durban 4041, South Africa
In this study, our objective is to apply the gene expression programming mathematical algorithm to propose a correlation based on the corresponding states method to determine the solubility parameters of 1641 pure compounds (mostly organic ones) at 298.15 K and atmospheric pressure. The studied compounds are from the 80 chemical families. The parameters of the method include the critical temperature, critical pressure, molecular weight, and acentric factor. Around 1477 solubility parameter data are randomly selected for developing (training + optimization) the correlation, and about 164 data are used for checking its prediction capability. The obtained statistical parameters, including average absolute relative deviation of the results from the applied data (about 6%), show the accuracy of the proposed method along with its simplicity and wide range of applicability. © 2012 American Chemical Society.