Aerodynamic Optimization Design of Supersonic Wing Based on Discrete Adjoint

Author:

Rao Hanyue1,Shi Yayun2,Bai Junqiang1,Chen Yifu1,Yang Tihao1,Li Junfu3

Affiliation:

1. School of Aeronautics, Northwestern Polytechnical University, Xi’an 710072, China

2. School of Aeronautics, Xi’an Jiaotong University, Xi’an 710049, China

3. AVIC the First Aircraft Institute, Xi’an 710089, China

Abstract

Reducing fuel consumption and improving the economy by effectively reducing cruising drag is the main objective of the aerodynamic design of supersonic civil aircraft. In this paper, the aerodynamic optimization design system based on the Reynolds-Averaged Navier–Stokes (RANS) equation and discrete adjoint theory is applied to supersonic wing design. Based on this system, a single-point optimization design study of aerodynamic drag reduction in cruise conditions was carried out for two typical supersonic wing layouts, subsonic leading edge and supersonic leading edge, and the drag reduction reached 3.78% and 4.53%, respectively. The aerodynamic design characteristics of different types of supersonic wings were explored from the perspectives of wing load, twist angle distribution, pressure distribution, airfoil shape characteristics, and flow field characteristics. The optimization results show that the drag reduction of the subsonic leading edge configuration is dominated by the induced drag, while the optimizer mainly focuses on reducing the shock wave drag for the supersonic leading edge configuration. By comparing the sensitivity analysis of lift and drag coefficients to airfoil deformation with the optimization results, the optimized dominant directions of two types of supersonic wings are qualitatively analyzed. The derivatives obtained from discrete adjoint equations are useful to elaborate the design tendency and the reason for the trade-off generation of supersonic wings under specific layouts and engineering constraints, which provides a reference for the design of supersonic wings in the future.

Funder

National Natural Science Foundation of China

Publisher

MDPI AG

Subject

Aerospace Engineering

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1. Supersonic transport optimization concepts;Progress in Aerospace Sciences;2024-04

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