Through the low-speed axial flow compressor stall experiment

and in combination with the compressor stall simulation cloud map and the measured blade radial pressure pulsation diagram in the experiment

partial leaf high stall other than full leaf high stall was found after the stall. Based on the stall prediction Moses model

by comparing the total pressure loss calculated from different radial sections

it was found that variation of the installation angle of the radial blade section had an influence on the calculation result of the model. The parameter k in the model was optimized by introducing the parameter B. The predicted results of the optimized model can predict the situation after the compressor stalls more accurately than the original model. The optimized model can provide good reference design data for the compressor design. The high subsonic axial compressor was optimized

and the high-speed compressible factor was taken into account in the model derivation

and the model was improved. The improved model was compared with the original model in predicting and calculating the high subsonic axial compressor pressure ratio. Feature accuracy increased by 30%.