Volume 41 Issue 3
Mar.  2026
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QIN Yuqi, XUE Fei, WANG Qingyong, et al. Comparative study on the stall prediction ability of two/three-dimensional stability models[J]. Journal of Aerospace Power, 2026, 41(2):20240309 doi: 10.13224/j.cnki.jasp.20240309
Citation: QIN Yuqi, XUE Fei, WANG Qingyong, et al. Comparative study on the stall prediction ability of two/three-dimensional stability models[J]. Journal of Aerospace Power, 2026, 41(2):20240309 doi: 10.13224/j.cnki.jasp.20240309

Comparative study on the stall prediction ability of two/three-dimensional stability models

doi: 10.13224/j.cnki.jasp.20240309
  • Received Date: 2024-05-15
    Available Online: 2025-11-27
  • Accurately predicting compressor instability boundaries to ensure their structural integrity is a major problem faced by compressor designers at home and abroad, taking NASA Rotor 35 rotors and double-row axial flow counter-rotating compressors as the research objects, firstly, the ability of the two-dimensional model to predict the starting point of single-row and multi-row rotors is evaluated. The results show that for the NASA Rotor 35 rotor, the relative error between the stall point flow obtained by the two-dimensional model and the experimental results is 1.87%. For the double-row counter-rotating compressor, the model differed from the Computational Fluid Dynamics results by 5.9%. In order to solve the problem of low accuracy of the two-dimensional model in predicting the stall speed of the rotary compressor, a three-dimensional stall prediction model was constructed based on the volume force model and the prediction model of the propagation velocity of the stall group. The results show that the relative error between the stall flow rate of Rotor 35 predicted by the developed 3D model and the experimental value is 1.97%, and the relative error between the stall flow rate of the rotary compressor and the Computational Fluid Dynamics result is reduced to 2.14%, greatly solves the defect of insufficient estimation ability caused by the use of a large number of geometric and flow field simplification methods in the current model.

     

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