سال انتشار: ۱۳۸۶

محل انتشار: پنجمین کنگره بین المللی مهندسی شیمی

تعداد صفحات: ۱۰

نویسنده(ها):

Niaei – Chemical Process Technology Laboratory, Department of Applied Chemistry and Chemical Engineering, University of Tabriz, Tabriz, Iran.
Salari – Chemical Process Technology Laboratory, Department of Applied Chemistry and Chemical Engineering, University of Tabriz, Tabriz, Iran.
Nabavi – Chemical Process Technology Laboratory, Department of Applied Chemistry and Chemical Engineering, University of Tabriz, Tabriz, Iran.

چکیده:

An industrial ethane thermal cracking reactor was modeled assuming a molecular mechanism for the reaction kinetics coupled with material, energy, and momentum balances of the reactant-product flow along the reactor. To carry out the optimization for two objectives such as conversion and ethylene selectivity, multi-objective the elitist non-dominated sorting genetic algorithm was used. The Pareto optimum set was obtained successfully and finally the effect of decision variable were discussed.