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Conflict of Interest: In relation to this article, we declare that there is no conflict of interest.

Publication history: Received June 10, 2008
Accepted August 29, 2008

This is an Open-Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/bync/3.0) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.

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Prediction of the surface tension of binary systems based on the partial least squares method

Sung Young Kim Sung Soo Kim Bomsock Lee^†

Department of Chemical Engineering, Industrial Liaison Research Institute, KyungHee University, Yongin 446-701, Korea

bslee@khu.ac.kr

Korean Journal of Chemical Engineering, March 2009, 26(2), 349-353(5), 10.1007/s11814-009-0058-1

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Abstract

Abstract.To predict the surface tension of binary liquid systems, an empirical model is proposed using the partial least squares (PLS) based on the multivariate statistical analysis method. Required parameters for the PLS method to predict the surface tension of binary systems are composed of the thermophysical properties of only pure substances such as critical temperature, critical pressure, critical volume, molar volume, viscosity and vapor pressure for input data block (X) and the reported experimental surface tension data for output data block (Y). The data set for the experimental surface tension of binary liquid systems is divided into the training set for regression and the test set for predicting. An average relative error (%) results of regression and prediction indicate that the PLS method can be a useful tool for predicting the surface tension of liquid binary systems.

Keywords

Surface Tension Partial Least Squares PLS Multivariate Statistical Analysis Binary System

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