Thermal-Economic Optimization of Shell and Tube Heat Exchanger by using a new Multi-Objective optimization method
- سال انتشار: 1395
- محل انتشار: مجله تحقیقات انتقال حرارت و توده، دوره: 3، شماره: 1
- کد COI اختصاصی: JR_JHMTR-3-1_007
- زبان مقاله: انگلیسی
- تعداد مشاهده: 153
نویسندگان
Faculty of Mechanical Engineering, Semnan University, P.O. Box ۳۵۱۳۱-۱۹۱۱۱, Semnan, Iran
Faculty of Mechanical Engineering, Semnan University, P.O. Box ۳۵۱۳۱-۱۹۱۱۱, Semnan, Iran
Faculty of Mechanical Engineering, Semnan University, P.O. Box ۳۵۱۳۱-۱۹۱۱۱, Semnan, Iran.
چکیده
Many studies are performed by researchers about Shell and Tube Heat Exchanger but the Multi-Objective Big Bang-Big Crunch algorithm (MOBBA) technique has never been used in such studies. This paper presents application of Thermal-Economic Multi-Objective Optimization of Shell and Tube Heat Exchanger Using MOBBA.For optimal design of a shell and tube heat exchanger, it was first thermally modeled using e-NTU method while Bell-Delaware procedure was applied to estimate its shell side heat transfer coefficient and pressure drop. MOBBA method was applied to obtain the maximum effectiveness (heat recovery) and the minimum total cost as two objective functions. The results of optimal designs were a set of multiple optimum solutions, called ‘Pareto optimal solutions'. In order to show the accuracy of the algorithm, a comparison is made with the non-dominated sorting genetic algorithm (NSGA-II) and MOBBA which are developed for the same problem.کلیدواژه ها
Shell and tube heat exchanger, Multi-Objective Big Bang-Big Crunch algorithm (MOBBA), Non-Dominated Sorting Genetic Algorithm (NSGA-II), Effectiveness, Total costاطلاعات بیشتر در مورد COI
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