Vibration Prediction Method of Spindle and Workpiece Based on Stacked Sparse Autoencoding Network
A technology of sparse automatic coding and prediction method, which is applied in the field of spindle and workpiece vibration prediction based on stacked sparse automatic coding network, can solve the problems of complex analysis and calculation process and the influence of missing frequency response, so as to improve processing efficiency, save cost, Reduce the effect of workpiece scrap
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[0070] As used in this example Image 6 For the thin-walled part shown, the cutting experiment is carried out to obtain relevant parameters, and the prediction model is obtained by training according to the above method, and then the input data in the test set are input into the prediction model. The prediction results are as follows: Figure 3(a) ~ Figure 3(f) As shown, the fitting effect of the spindle vibration in the x direction, y direction, and z direction and the workpiece vibration in the y direction and z direction is better (the tool feed direction is the x direction, and the vertical direction is the z direction), which can be more accurate Reflect the vibration situation and trend of the spindle and workpiece during the cutting process; such as Figure 4(a) ~ Figure 4(f) It can be seen that the predicted results of the predicted data in the selected frequency band are very similar to the frequency distribution of the actual data in this frequency band, which can mo...
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