Experimental Study and Mathematical Modeling of Solubility of CO۲ in Water: Application of Artificial Neural Network and Genetic Algorithm، انجام شده توسط ناصر قاسمیان

مشخصات پژوهش

عنوان	Experimental Study and Mathematical Modeling of Solubility of CO2 in Water: Application of Artificial Neural Network and Genetic Algorithm
نوع پژوهش	مقاله چاپ شده
کلیدواژه‌ها	Artificial neural network, carbon dioxide, equations of state, genetic algorithm, mixture combining rules, water
پژوهشگران	ناصر قاسمیان (نفر اول)، منصور کلباسی (نفر دوم)، غلام رضا پازوکی (نفر سوم)

چکیده

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.