Surface Tension Prediction for Pure Fluids

TL;DR

This paper introduces new analytical expressions derived from statistical mechanics for predicting the surface tension of organic compounds, achieving high accuracy across multiple compounds and temperatures.

Contribution

The paper presents a novel analytic expression for surface tension based on statistical mechanics, with improved predictive accuracy for diverse organic compounds.

Findings

Predicted surface tensions within 1.05 AAD% for 94 compounds using the new expression.

Simpler expression predicts surface tensions within 2.57 AAD% across all tested temperatures.

The approach effectively models surface tension data for a wide range of organic compounds.

Abstract

In this paper we propose an analytic expression for surface tension of organic compounds. This new expression, originally derived from the statistical-mechanics is shown to represent the experimental surface tension data of 94 different organic compounds within 1.05 AAD%. We also propose another simpler expression. When this generalized expression is used surface tensions for all the 94 compounds can be predicted within 2.57 AAD% for all temperatures investigated.