所建立的叶轮几何参数优化选择方法，可用于车用涡轮增压器离心压气机的几何参数优化和性能预测。
The method of impeller parameters optimization design can be used in the selection of geometric parameters and the performance prediction of vehicle turbochargers.
选择不同的中枢网络作为最好的网络进行叶轮不平衡故障诊断和分类。
Different models of neural networks were trained to choose the best performance network for pump impeller imbalance fault diagnosis and classification.
以泵叶轮材料选择为例，证明了该方法的可行性和有效性。
Finally, taking impeller material selection as an example, the method is proved feasible and effective.
选择叶轮材料时，除了要考虑离心力作用下的机械强度以外，还要考虑材料的耐磨和耐腐蚀性能。
The impeller material, in addition to considering the centrifugal force under the action of mechanical strength, but also consider the material resistance to wear and corrosion resistant performance.
选择叶轮材料时，除了要考虑离心力作用下的机械强度以外，还要考虑材料的耐磨和耐腐蚀性能。
The impeller material, in addition to considering the centrifugal force under the action of mechanical strength, but also consider the material resistance to wear and corrosion resistant performance.
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