Pareto Optimization of Two-element Wing Models with Morphing Flap Using Computational Fluid Dynamics, Grouped Method of Data handling Artificial Neural Networks and Genetic Algorithms
محل انتشار: ماهنامه بین المللی مهندسی، دوره: 31، شماره: 4
سال انتشار: 1397
نوع سند: مقاله ژورنالی
زبان: انگلیسی
مشاهده: 299
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شناسه ملی سند علمی:
JR_IJE-31-4_019
تاریخ نمایه سازی: 10 آذر 1398
چکیده مقاله:
A multi-objective optimization (MOO) of two-element wing models with morphing flap by using computational fluid dynamics (CFD) techniques, artificial neural networks (ANN), and non-dominated sorting genetic algorithms (NSGA II), is performed in this paper. At first, the domain is solved numerically in various two-element wing models with morphing flap using CFD techniques and lift (L) and drag (D) coefficients in wings are calculated. Afterward, for modeling L and D using grouped method of data handling (GMDH) type artificial neural networks, numerical data of the preceding step will be applied. Eventually, for Pareto based multi-objective optimization of two-element wing models with morphing flap using NSGA II algorithm, the modeling, which is accomplished by GMDH will be applied. It is shown that the achieved Pareto solution includes important design information on such wings.
کلیدواژه ها:
Two ، element Wings ، Morphing Flap ، multi ، objective optimization ، Grouped Method of data Handling ، NSGA II ، Quadrature Phase Shift Keying
نویسندگان
Masoud Jamalinasab
Department of Mechanical Engineering,, Malek-ashtar
Hamed Safikhani
Factuly of Engineering, Department of Mechanical Engineering