Title : ( A modification of Wong-Sandler mixing rule for the prediction of vapor-liquid equilibria in binary asymmetric systems )
Authors: Javad Sargolzaei , iman zanganeh asadabadi , بهرام خداکرمی ,Access to full-text not allowed by authors
Abstract
Systems consisting of light components and heavy hydrocarbons are highly asymmetric and industrially important. Design and control of facilities for separation and purification of such mixtures require vapor-liquid equilibrium data. Coupling of the cubic equation of state (EOS) with excess Gibbs energy models (EOS/Gex models) failed to represent the vapor-liquid equilibria (VLE) of such systems accurately. The main purpose of this work is to present a modification of Wong-Sandler mixing rule with using the composition dependent binary interaction parameter. Vaporliquid equilibria for 30 binary systems are calculated using the SRK equation of state with proposed model and Wong-Sandler mixing rule. Calculated pressures and mole fractions of vapor phase are compared with experimental data. The average absolute percentage deviation indicates that error involved in the application of modified Wong-Sandler model is less than Wong-Sandler model in most cases.
Keywords
, Vapor-liquid Equilibrium, Wong-Sandler Mixing Rule, Asymmetric Systems@article{paperid:1022790,
author = {Sargolzaei, Javad and Zanganeh Asadabadi, Iman and بهرام خداکرمی},
title = {A modification of Wong-Sandler mixing rule for the prediction of vapor-liquid equilibria in binary asymmetric systems},
journal = {Korean Journal of Chemical Engineering},
year = {2011},
volume = {28},
number = {7},
month = {July},
issn = {0256-1115},
pages = {1613--1618},
numpages = {5},
keywords = {Vapor-liquid Equilibrium; Wong-Sandler Mixing Rule; Asymmetric Systems},
}
%0 Journal Article
%T A modification of Wong-Sandler mixing rule for the prediction of vapor-liquid equilibria in binary asymmetric systems
%A Sargolzaei, Javad
%A Zanganeh Asadabadi, Iman
%A بهرام خداکرمی
%J Korean Journal of Chemical Engineering
%@ 0256-1115
%D 2011