Robustness Optimization of Compressor Three-dimensional Blades Based on Isight
A blade robustness optimization platform was built based on Isight software,and with the constructed RBF neural network model and by Monte Carlo method,the robustness optimization of Rotor37 was carried out.The optimization results show that the overall performance curve moves to the left and up with nearly no change of margin,the average efficiency increases by 0.24%and 0.46%,and the variance decreases by 16.3%and 15%respectively at the two selected optimization conditions.
compressorbladerobustness optimizationRBF neural networkMonte Carlo methodefficiencymargin
万方数据
维普
