Abstract
The Wilson equation has found extensive use in the correlation and prediction of vapor-liquid equilibrium (VLE) data. In predicting multicomponent equilibria from binary VLE data, the binary parameters first must be found. It is customary to regress all the available binary data; however, use of one binary point also has been suggested, especially if the data pair are the infinite dilution values. The purposes of this study are (1) to discuss the number of sets of binary parameters (i.e., roots) obtained either from one data point (including the use of the infinite dilution activity coefficients) or from regressing all the binary data; and (2) to explore the effect of multiple sets of parameters, wherever they exist, on the accuracy of predicted data. The best predictions of binary multicomponent data appear to result from the set of roots that are smallest in absolute value. (20 refs.)
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