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Two Dimensional Hypersonic Body-Intake Multi-Object Optimization with NSGA-II Algorithm

  • Northwestern Polytechnical University Xian

科研成果: 期刊稿件会议文章同行评审

5 引用 (Scopus)

摘要

The forebody/inlet shape of the scramjet engine is significant to airplane performance. A multi-object optimization of hypersonic body-intake configuration is reported in the present work. The optimization system consists of geometry parameterization, mesh deformation, aerodynamic performance evaluation via computational fluid dynamics (CFD) and the top level driving optimization algorithm. In the present work, geometry parameterization is accomplished through B-Spline based free form deformation (FFD) method, volume mesh deformation is computed via inverse distance weight (IDW) method. Aerodynamic performance is evaluated with shear stress transportation model closed Reynolds averaged Navier-Stokes equations. At the top level, optimization is driven by the non-dominated sorting genetic algorithm II (NSGA-II) algorithm. Finally, the present optimization system is applied to a two dimensional hypersonic combined forebody-intake configuration. Numerical result shows that optimization gained improvement of 5% thrust, 9% pressure rise ratio and 7% total mass flow rate, which approved the effectiveness of the present optimization methodology.

源语言英语
文章编号012020
期刊Journal of Physics: Conference Series
1510
1
DOI
出版状态已出版 - 21 5月 2020
活动2019 10th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2019 - Bangkok, 泰国
期限: 26 12月 201928 12月 2019

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