Stress and temperature prediction of aero-engine compressor disk based on multilayer perceptron
Taking the measures parameters of the engine as the initial characteristics,the MLP(multilayer perceptron)model of aero-engine compressor disk stress and temperature prediction was established by using artificial neural network technology,and BP(back propagation)neural network algorithm was used for training.The results showed that the prediction results of this method were in good agreement with the traditional finite element calculation results.The relative deviations were all within 1％,the determination coefficients were above 0.95,and the root mean squared error was within 5.Moreover,the calculation speed increased from hour level to minute second level,providing a basis for subsequent engineering applications.
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