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

Authors :
Lei Qiao
Junjie Fu
Qu Feng
Bai Junqiang
Source :
Journal of Physics: Conference Series. 1510:012020
Publication Year :
2020
Publisher :
IOP Publishing, 2020.

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.

Details

ISSN :
17426596 and 17426588
Volume :
1510
Database :
OpenAIRE
Journal :
Journal of Physics: Conference Series
Accession number :
edsair.doi...........5a11be1dd9deb0d7b17b3ba31202f9f6
Full Text :
https://doi.org/10.1088/1742-6596/1510/1/012020