Prediction of true critical volume of multi-component mixtures: Extending fast estimation methods

Abstract

Various fast estimation methods such as Chueh–Prausnitz, modified Wilson, and Redlich–Kister were proposed for prediction of vapor–liquid critical volume of fluid mixtures. In order to calculate true critical volume by these methods, some binary interaction parameters are required for each binary set of compounds in the mixture. Experimental data on true critical volume of mixtures is scarce. Therefore, methods like Chueh–Prausnitz were developed to some extent, while other methods such as modified Wilson, and Redlich–Kister have limited applications. In the present work, 630 experimental data on true critical volume for 116 different binary mixtures has been collected by comprehensive literature search. Then by introducing new interaction parameters for each binary set based on using all available experimental data, previous methods have been revisited and new methods have been introduced, as well. Besides, new correlations have been developed to estimate different interaction parameters in order to extend the applicability of these methods. Finally, the capability of different methods has been tested by predicting true critical volume of 8 different multi-component mixtures containing 54 experimental data points.