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Naser Ghasemian

Naser Ghasemian

Academic rank: Associate Professor
ORCID:
Education: PhD.
ScopusId:
HIndex: 0/00
Faculty: Faculty of Interdisciplinary Sciences and Technologies
Address:
Phone: 04137745000-1612

Research

Title
Experimental Study and Mathematical Modeling of Solubility of CO2 in Water: Application of Artificial Neural Network and Genetic Algorithm
Type
JournalPaper
Keywords
Artificial neural network, carbon dioxide, equations of state, genetic algorithm, mixture combining rules, water
Year
2013
Journal JOURNAL OF DISPERSION SCIENCE AND TECHNOLOGY
DOI
Researchers Naser Ghasemian ، Mansour Kalbasi ، Gholamreza Pazuki

Abstract

The solubility of carbon dioxide in water is measured at 278.15–348.15 K and 0.1–1 MPa. The experimental data are compared with those obtained from equations of state such as van der Waals, Redlikh-Kwong, Soave- Redlikh-Kwong, Peng-Robinson coupled with two mixing rules van der Waals and Wong Sandler equations. Also, the solubility of carbon dioxide in water is modeled using the artificial neural network system and optimized with genetic algorithm method. The results show that the artificial neural network system can accurately predict the solubility of carbon dioxide in water than the other equations of state.