Table of Contents
ISRN Chemical Engineering
Volume 2013 (2013), Article ID 930484, 11 pages
http://dx.doi.org/10.1155/2013/930484
Research Article

Prediction the Vapor-Liquid Equilibria of CO2-Containing Binary Refrigerant Mixtures Using Artificial Neural Networks

1Chemical Engineering Department, Gas and Petrochemical Engineering Faculty, Persian Gulf University, Bushehr 7516913817, Iran
2Department of Petrochemical Engineering, Amirkabir University of Technology (Tehran Polytechnic), Mahshahr Campus, P.O. Box 415, Mahshahr, Iran

Received 9 May 2013; Accepted 18 July 2013

Academic Editors: J. A. A. González, K. Okumura, and J. E. Ten Elshof

Copyright © 2013 Ahmad Azari et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

How to Cite this Article

Ahmad Azari, Saeid Atashrouz, and Hamed Mirshekar, “Prediction the Vapor-Liquid Equilibria of CO2-Containing Binary Refrigerant Mixtures Using Artificial Neural Networks,” ISRN Chemical Engineering, vol. 2013, Article ID 930484, 11 pages, 2013. doi:10.1155/2013/930484