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The New Jersey Institute of Technology's
Electronic Theses & Dissertations Project

Title: Prediction and correlation of liquid-liquid equilibria
Author: Simonetty, Jr., Jose
View Online: njit-etd1981-019
(ix, 166 pages ~ 3.6 MB pdf)
Department: Department of Chemical Engineering and Chemistry
Degree: Master of Science
Program: Chemical Engineering
Document Type: Thesis
Advisory Committee: Tassios, Dimitrios P. (Committee chair)
Abd-El-Bary, Mahmoud F. (Committee member)
Hanesian, Deran (Committee member)
Date: 1981-05
Keywords: Liquid-liquid equilibrium
Availability: Unrestricted
Abstract:

The NRTL, LEMF, and UNIQUAC models are used in the prediction and correlation of liquid-liquid equilibrium data for ten type I systems. The results indicate that best predictions are obtained with the LEMF equation, with an overall average absolute percentage error in distribution coefficients of 19.5 as compared to 23.0 and 24.7 with the NRTL and UNIQUAC equations, respectively. Good correlation of liquid-liquid equilibrium data alone is obtained with all three models; the LEMF equation is slightly better with an overall average absolute percentage error in distribution coefficients of 5.5 as compared to 6.7 and 5.9 for the NRTL and UNIQUAC equations, respectively. The same applies for the simultaneous correlation of liquid-liquid and binary vapor-liquid equilibrium data, where the combined errors for the distribution and activity coefficients are: LEMF, 6.5; NRTL, 8.8; and UNIQUAC, 8.2. In all cases best results are obtained for systems having large mutual solubilities, and become progressively worse as the mutual solubility decreases.


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