Surface Tension Prediction for Liquid Mixtures

TL;DR

This paper extends a statistical mechanics-based surface tension prediction model from pure fluids to liquid mixtures, demonstrating improved accuracy over existing methods for binary and multicomponent systems.

Contribution

The study introduces an extended surface tension prediction model for liquid mixtures based on a previously proposed pure fluid model, achieving higher accuracy.

Findings

Predicted surface tensions of 55 binary mixtures within 0.50 AAD%.

Predicted surface tensions of 55 binary mixtures within 2.10 AAD% using a different approach.

Model applicable to multicomponent liquid mixtures.

Abstract

Recently Escobedo and Mansoori (AIChE J. 42(5): 1425, 1996) proposed a new expression, originally derived from statistical mechanics, for the surface tension prediction of pure fluids. In this report, the same theory is extended to the case of mixtures of organic liquids. Using the proposed equation surface tensions of 55 binary mixtures are predicted within an overall 0.50 AAD% which is better than the other available prediction methods. Using a corresponding states expression the surface tension of all the 55 binary mixtures are predicted within an overall 2.10 AAD%. The proposed model is also applicable to multicomponent liquid mixtures.