Volume 41 Issue 7
Jul.  2026
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Yang Jinheng, Li Yingkun, Wu Yan, et al. Rapid prediction of flow field in rocket engine nozzles based on U-Net[J]. Journal of Aerospace Power, 2026, 41(7):20250158 doi: 10.13224/j.cnki.jasp.20250158
Citation: Yang Jinheng, Li Yingkun, Wu Yan, et al. Rapid prediction of flow field in rocket engine nozzles based on U-Net[J]. Journal of Aerospace Power, 2026, 41(7):20250158 doi: 10.13224/j.cnki.jasp.20250158

Rapid prediction of flow field in rocket engine nozzles based on U-Net

doi: 10.13224/j.cnki.jasp.20250158
  • Received Date: 2025-04-01
    Available Online: 2026-04-22
  • A prediction model of the flow field in a rocket engine nozzle based on the U-net architecture was proposed to solve the problem of the time-consuming computation of the flow field in the nozzle using conventional computational fluid dynamics (CFD) methods. By changing the temperature and pressure of the nozzle inlet gas over a certain range, 2816 samples of the flow field in the nozzle under different boundary conditions were obtained based on the CFD method, which were used as a data set for model training. By introducing multiple input and output channels, the model could predict multiple flow field information of the temperature, velocity and pressure in the rocket engine nozzle. The results showed that compared with the traditional AE (Autoencoder) architecture model, the prediction accuracy of the U-net architecture model was significantly improved in three channels: pressure field, velocity field and temperature field. After using the normalized data set, the absolute percentage errors of the U-Net architecture model on each channel were 1.6%, 4.3%, and 2.7%, respectively. The predicted flow field in the nozzle was highly consistent with the CFD simulation results, and was two orders of magnitude faster than the CFD in 100 batch simulation missions; this model can provide effective technical support for the design and optimization of rocket engine nozzles.

     

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