Abstract
This paper firstly established the finite element model of steel shell motor, computed modal frequencies on top 6 orders to compare with experimental results and verified the reliability of the finite element model. Then, this paper numerically calculated the electromagnetic force of the motor, inputted it into the verified finite element model and computed the vibration acceleration, velocity, stress and strain of the motor. Constraint and properties of internal materials remained unchanged. Steel shell was replaced by aluminum alloy shell to recompute the vibration acceleration, velocity, stress and strain of the motor and compare with those of steel structure motor. Results showed that the motor of aluminum alloy shell had more obvious vibration characteristics. Finally, this paper put forward neural network model optimized by GA. This model was used to predict the vibration characteristics of the motor of aluminum alloy shell and compare with the real value calculated by finite element, showing good consistency. It indicated that it was feasible to predict the vibration characteristics of the motor based on GA-BPNN model.
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