Prediction of surface tension of binary mixtures with the parachor method

Surface Tension Prediction of Hydrocarbon Mixtures Using Artificial Neural Network

In this study, artificial neural network was used to predict the surface tension of 20 hydrocarbon mixtures. Experimental data was divided into two parts (70% for training and 30% for testing). Optimal configuration of the network was obtained with minimization of prediction error on testing data. The accuracy of our proposed model was compared with four well-known empirical equations. The arti...

The Prediction of Surface Tension of Ternary Mixtures at Different Temperatures Using Artificial Neural Networks

In this work, artificial neural network (ANN) has been employed to propose a practical model for predicting the surface tension of multi-component mixtures. In order to develop a reliable model based on the ANN, a comprehensive experimental data set including 15 ternary liquid mixtures at different temperatures was employed. These systems consist of 777 data points generally containing hydrocar...

prediction of surface tension of solvent mixtures at various temperatures

surface tension prediction of hydrocarbon mixtures using artificial neural network

in this study, artificial neural network was used to predict the surface tension of 20 hydrocarbon mixtures. experimental data was divided into two parts (70% for training and 30% for testing). optimal configuration of the network was obtained with minimization of prediction error on testing data. the accuracy of our proposed model was compared with four well-known empirical equations. the arti...

Surface Tension Prediction for Liquid Mixtures

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 with the following expression, σm = [(1-Tr,m) Tr,m exp (0.30066/Tr,m + 0.86442 Tr,m) (P 0,m ρL,m P 0,m ρv,m)] 4 P0,m = { ΣiΣj...