1403/01/09
سید رضا نبوی

سید رضا نبوی

مرتبه علمی: دانشیار
ارکید: 0000-0002-2605-6710
تحصیلات: دکترای تخصصی
اسکاپوس: 35213806100
دانشکده: دانشکده شیمی
نشانی: گروه شیمی کاربردی-دانشکده شیمی-پردیس دانشگاه مازندران-بابلسر
تلفن: 01135302397

مشخصات پژوهش

عنوان
Multi-objective Optimization of Preparation Conditions of Asymmetric Polyetherimide Membrane for Prevaporation of Isopropanol
نوع پژوهش
JournalPaper
کلیدواژه‌ها
Prevaporation, isopropanol, neural network, multi-objective optimization, Alt-NSGA-II-aJG
سال
2016
مجله Chemical Product and Process Modeling
شناسه DOI
پژوهشگران Seyed Reza Nabavi

چکیده

Multi-objective optimization is used in many chemical engineering fields that have conflict objective functions. Prevaporation is an effective process for removing trace or minor amount of the component of diluting solutions. This process is used for dehydration of alcohols containing small amounts of water. In this process membrane flux and separation factor have conflict with each other. So a multi-objective optimization approach can be used for optimization of the process. In this paper, in first stage a neural network based model was developed for preparation conditions for polyetherimide membrane in isopropanol prevaporation. Four major variables involved in the membrane preparation procedure, including polymer concentration, additive content, solvent evaporation temperature and time was considered. Membrane flux and separation factor were considered as objective functions. Elitist Non-dominated sorting genetic algorithm with jumping gene and altruistic adaptation (Alt-NSGA-aJG) was applied for simultaneous maximization of flux and separation factor. Pareto optimal solutions for membrane preparation conditions and effect of decision variables (four preparation variables) on Pareto front were investigated.