| Citation: | CHENG Ming, HE Lei, LIN Jiazhe, et al. Research on fast inverse design of airfoil based on denoising diffusion model[J]. Journal of Aerospace Power, 2026, 41（4）：20240425 doi: 10.13224/j.cnki.jasp.20240425
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A fast inverse design method of airfoil based on denoising diffusion probability model was established, which directly used coordinates as the description mode of airfoil, and utilized the powerful data feature learning and sample generation ability of denoising diffusion probability model to realize fast inverse design of airfoil under aerodynamic performance control. The research was carried out by the following steps: firstly, the basic airfoil data set was constructed based on UIUC airfoil database; using the basic airfoil data set as input, the unconditional diffusion model was trained; then, based on the unconditional diffusion model, a large number of new airfoils were generated, and an extended data set was established to increase the diversity of data; then the aerodynamic performance of airfoil was calculated by Xfoil airfoil analysis software. Taking airfoil and aerodynamic performance as inputs, the conditional diffusion model was trained, and the rapid airfoil reverse design based on this model was finally realized. The experimental results showed that the design of a single airfoil based on the denoising diffusion model took only 1.25 s, and the aerodynamic performance deviation from the tag airfoil was controlled within 6%. At the same time, the generated airfoil shapes were diverse, helping to provide conditions for more efficient airfoil design.
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