| Citation: | QIAN Guang, ZHU Jianyang, CAI Yun, et al. Research on the aerodynamic performance optimization of dragonfly-inspired tandem flapping wing based on neural network and CFD[J]. Journal of Aerospace Power, 2025, 40（3）：20220796 doi: 10.13224/j.cnki.jasp.20220796
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In order to improve the aerodynamic performance of dragonfly-inspired tandem flapping wings, the influences of three parameters, i.e. pitching amplitude, wing spacing and phase difference between forewing and hindwing, on the lifting efficiency of dragonfly-inspired tandem flapping wing were systematically analyzed by the combination of the neural network and CFD. The results showed that pitching amplitude, wing spacing and phase difference between forewing and hindwing had important influence on the aerodynamic performance of dragonfly-inspired tandem flapping wings. In the analysis parameter range, compared with the flapping wing with worst parameter combination, the lifting efficiency of the flapping wing with the best parameter combinations increased 90.33% by using neural network optimization. Furthermore, through the analysis of flow field of dragonfly-inspired tandem flapping wing with different parameter combinations, it was found that the trailing vortices shedding from the forewing can be reattached to the surface of the hindwing for the tandem flapping wing with the optimal combination of parameter, which can weaken the vortex intensity during the upstroke of the hindwing and reduce the energy consumption of the flapping wing, so that the flapping wing can generate better aerodynamic performance.
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