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

Lei Qiao, Junjie Fu, Junqiang Bai, Feng Qu

Research output: Contribution to journalConference articlepeer-review

4 Scopus citations

Abstract

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.

Original languageEnglish
Article number012020
JournalJournal of Physics: Conference Series
Volume1510
Issue number1
DOIs
StatePublished - 21 May 2020
Event2019 10th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2019 - Bangkok, Thailand
Duration: 26 Dec 201928 Dec 2019

Keywords

  • Free form deformation
  • Genetic algorithms
  • Hypersonic aerodynamics
  • Hypersonic inlets
  • Shape optimization

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