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گواهی نمایه سازی مقاله A genetic algorithm based Peng-Robinson equation of state for solubility modeling of cinnamic acid in supercritical carbon dioxide

عنوان مقاله: A genetic algorithm based Peng-Robinson equation of state for solubility modeling of cinnamic acid in supercritical carbon dioxide
شناسه (COI) مقاله: ICHEC07_060
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

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
Morteza Banihashemi - Department of Chemical Engineering, Babol University of Technology, P.O. Box 484, Babol, Iran

خلاصه مقاله:
In this paper genetic algorithm optimization method is used for optimization of the binary interaction parameters of Peng-Robinson equation of state. In the next step, optimized Peng- Robinson equation of state is used for solubility modeling of cinnamic acid in supercritical carbon dioxide. Results showed that the proposed method for optimization of binary interaction parameters is more accurate than the traditional trial and error methods.

کلمات کلیدی:
genetic algorithm; Peng-Robinson; binary interaction parameter; supercritical carbon dioxide; cinnamic acid

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICHEC07-ICHEC07_060.html