Predictive model for compressor impeller tightness

V. Pechenin, E. Pechenina, M. Bolotov
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Abstract

A model has been developed to predict the angular reversals of the blades in the impeller that occur during assembly. The calculated angles characterize the tightness in the connections of the blade end flanges. The model inputs data on geometry deviations from part inspection operations. The model uses the random forest method, and the model was trained on a set of numerical experiments performed in the ANSYS environment. According to experimental findings, the ANSYS model's error does not exceed 10 angular minutes, and the regression model's overall error does not exceed 20 angular minutes.
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压缩机叶轮密封性预测模型
建立了一个模型来预测叶轮中叶片在装配过程中发生的角度反转。计算的角度表征了叶片端缘连接的紧密性。模型输入零件检验操作的几何偏差数据。该模型采用随机森林方法,并在ANSYS环境下进行了一组数值实验对模型进行了训练。实验结果表明,ANSYS模型的误差不超过10角分,回归模型的总体误差不超过20角分。
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