TY - JOUR
T1 - Two Dimensional Hypersonic Body-Intake Multi-Object Optimization with NSGA-II Algorithm
AU - Qiao, Lei
AU - Fu, Junjie
AU - Bai, Junqiang
AU - Qu, Feng
N1 - Publisher Copyright:
© 2020 Published under licence by IOP Publishing Ltd.
PY - 2020/5/21
Y1 - 2020/5/21
N2 - 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.
AB - 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.
KW - Free form deformation
KW - Genetic algorithms
KW - Hypersonic aerodynamics
KW - Hypersonic inlets
KW - Shape optimization
UR - http://www.scopus.com/inward/record.url?scp=85085398117&partnerID=8YFLogxK
U2 - 10.1088/1742-6596/1510/1/012020
DO - 10.1088/1742-6596/1510/1/012020
M3 - 会议文章
AN - SCOPUS:85085398117
SN - 1742-6588
VL - 1510
JO - Journal of Physics: Conference Series
JF - Journal of Physics: Conference Series
IS - 1
M1 - 012020
T2 - 2019 10th Asia Conference on Mechanical and Aerospace Engineering, ACMAE 2019
Y2 - 26 December 2019 through 28 December 2019
ER -