Multi–objective optimization of Ethane Thermal cracking Reactor using Genetic Algorithmپنجمین کنگره بین المللی مهندسی شیمی
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.<\div>
راهنمای دریافت مقالهی «Multi–objective optimization of Ethane Thermal cracking Reactor using Genetic Algorithm» در حال تکمیل میباشد.