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WANG Chaojie, HE Lei, LI Chuan, et al. Airfoil reverse design method based on self-attention mechanism[J]. Journal of Aerospace Power, 2025, 40(1):20230106 doi: 10.13224/j.cnki.jasp.20230106
Citation: WANG Chaojie, HE Lei, LI Chuan, et al. Airfoil reverse design method based on self-attention mechanism[J]. Journal of Aerospace Power, 2025, 40(1):20230106 doi: 10.13224/j.cnki.jasp.20230106

Airfoil reverse design method based on self-attention mechanism

doi: 10.13224/j.cnki.jasp.20230106
  • Received Date: 2023-02-27
    Available Online: 2024-05-31
  • An end-to-end deep learning model for reverse airfoil design based on attention mechanism was proposed to simplify the reverse airfoil design process. The model could learn the relationship between the airfoil curve and the pressure distribution, and the matching airfoil picture could be generated by directly inputting the pressure distribution image. 6561 samples were generated, with 6000 used for training and 561 for validation. The model's root mean square error on the verification set was 0.0023, its average relative deviation was 2.53%, its training and verification time was 743.4 s and 12.18 s, respectively, and its average prediction time for an airfoil curve was 0.0217 s. The results demonstrated the model's high accuracy and efficiency.

     

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