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Estimation of Solubility of CO2 in Water With Artificial Neural Network And Mathematical Modeling

عنوان مقاله: Estimation of Solubility of CO2 in Water With Artificial Neural Network And Mathematical Modeling
شناسه ملی مقاله: NICEC14_087
منتشر شده در چهاردهمین کنگره ملی مهندسی شیمی ایران در سال 1391
مشخصات نویسندگان مقاله:

Naser Ghasemian - Chemical Engineering Department, Amirkabir University of Technology (TehranPolytechnic), Tehran, Iran
Seyedeh Parisa Yazdani - Statistic Department,University of Peyame noor ,Malekan branch
Mansour Kalbasi
Gholamreza Pazuki - Chemical Engineering Department, Amirkabir University of Technology (TehranPolytechnic), Tehran, Iran

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

کلمات کلیدی:
Artificial neural network, Equations of state, Mixture combining rules, Carbon dioxide, Water

صفحه اختصاصی مقاله و دریافت فایل کامل: https://civilica.com/doc/171705/