CIVILICA We Respect the Science
(ناشر تخصصی کنفرانسهای کشور / شماره مجوز انتشارات از وزارت فرهنگ و ارشاد اسلامی: ۸۹۷۱)

گواهی نمایه سازی مقاله Estimation of interaction parameters of UNIQUAC model by Genetic algorithm

عنوان مقاله: Estimation of interaction parameters of UNIQUAC model by Genetic algorithm
شناسه (COI) مقاله: ICHEC07_087
منتشر شده در هفتمین کنگره ملی مهندسی شیمی در سال ۱۳۹۰
مشخصات نویسندگان مقاله:

m golpour - Department of Chemical Engineering, University of Guilan, Rasht, Iran
h ashraf - Department of Mechanic Engineering, University of Guilan, Rasht, Iran
h heshmati - Department of Chemical Engineering, University of Guilan, Rasht, Iran
h Ghanadzadeh Gilani - Department of Chemical Engineering, University of Guilan, Rasht, Iran

خلاصه مقاله:
Genetic algorithm (GA) and ASPEN PLUS have been developed to estimate the binary interaction parameters of the UNIQUAC activity coefficient model for liquid–liquid extraction system. Both of these methods were compared with experimental data. It can be seen that GA has a betteragreement than ASPEN PLUS simulator. To show the accuracy of GA, root mean square deviation (RMSD) has been reported

کلمات کلیدی:
Genetic algorithm, Liquid-liquid equilibrium, 2-butanol, UNIQUAC model

صفحه اختصاصی مقاله و دریافت فایل کامل: https://www.civilica.com/Paper-ICHEC07-ICHEC07_087.html