سال انتشار: ۱۳۹۰

محل انتشار: سومین کنفرانس تخصصی ترمودینامیک

تعداد صفحات: ۱۲

نویسنده(ها):

Bahman Mehdizadeh – Department of Chemical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran
Kamyar Movagharnejad – Department of Chemical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran

چکیده:

In this paper an artificial neural network (ANN) is used for solubility modeling of phenanthrene in two binary solvent systems. In the next step, accuracy of the proposed model is compared to the results of a published work .In this published paper different activity coefficient equations such as (Wilson, NIBS/Redlich–Kister, UNIQUAC and Dortmund UNIFAC) has been used for solubility estimation. Results showed that the present model (ANN) is the more accurate than all of these thermodynamic models.