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Journal of System Simulation

Abstract

Abstract: The waverider forebody and Bump profile of aircraft are two classic cases reflecting the waverider idea in aircraft component design. They can effectively improve the overall aerodynamic performance of aircraft and have become the core technology of aircraft overall design. In order to seek the optimal design of the waverider forebody and Bump profile to improve the efficiency of aircraft design, an optimization design method for the waverider forebody and Bump profile is proposed in this paper. The initial waverider forebody and Bump profile are generated by the osculating cone theory and conical flow field, and the aerodynamic performance is quickly estimated by the panel method. The surrogate model established by the back-propagation (BP) neural network and genetic algorithm NSGAII are used to optimize the waverider forebody and Bump profile quickly. The data mining method is used to analyze the flow mechanism of the waverider forebody and Bump profile. The lift-to-drag ratio and volume of the optimized waverider forebody are increased by 25.6% and 41.4%, respectively. The drag coefficient of the Bump profile is decreased by 10.9%, and the lateral pressure gradient is increased by 12.1%. The results show that the proposed optimization method can be applied to the design optimization of the waverider forebody and Bump aerodynamic profile, which has guiding significance for the optimization of the overall aerodynamic performance of the aircraft and has great potential in engineering applications.

First Page

686

Last Page

699

CLC

TP399

Recommended Citation

Qiu Jialin, Huang Jun, Shu Peng, et al. Research on Optimization Design Method of Waverider Forebody/Bump Profile of Aircraft[J]. Journal of System Simulation, 2024, 36(3): 686-699.

Corresponding Author

Qiao Wenyou

DOI

10.16182/j.issn1004731x.joss.23-0172

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