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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

Active Publication Date: 2022-05-20
HUAZHONG UNIV OF SCI & TECH
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AI Technical Summary

Problems solved by technology

Although these two methods can reflect some characteristics of the dynamic frequency response to a certain extent, they each have their own shortcomings. The analysis and calculation process of the former is very complicated, and the latter directly loses the influence of the dynamic cutting process on the frequency response.

Method used

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  • Vibration Prediction Method of Spindle and Workpiece Based on Stacked Sparse Autoencoding Network
  • Vibration Prediction Method of Spindle and Workpiece Based on Stacked Sparse Autoencoding Network
  • Vibration Prediction Method of Spindle and Workpiece Based on Stacked Sparse Autoencoding Network

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specific Embodiment

[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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Abstract

The invention belongs to the field of cutting processing, and specifically discloses a method for predicting the vibration of a spindle and a workpiece based on a stack sparse automatic coding network, including S1 obtaining the spindle current signal, the cutting force signal and the actual vibration signal of the spindle and the workpiece under different cutting parameters ; S2 Input the spindle current signal, cutting force signal and cutting processing parameters into the sparse auto-encoding network layer for training, obtain deep time series features, and input them into the fully connected layer, train the entire network on the basis of pre-training parameters, and get Spindle and workpiece vibration signal prediction; S3 adjusts the stack sparse auto-encoding network according to the spindle and workpiece prediction and actual vibration signals, and completes the training to obtain a prediction model; the prediction model realizes the prediction of the spindle and workpiece vibration signals in cutting processing, which can replace The dynamic frequency response function has a good prediction effect in the time domain and frequency domain, can adapt to the working conditions of various combinations of processing parameters, and has strong generalization ability.

Description

technical field [0001] The invention belongs to the field of cutting processing, and more specifically relates to a method for predicting the vibration of a spindle and a workpiece based on a stacked sparse auto-encoding network. Background technique [0002] Today, the manufacturing industry is moving forward from digitization and informatization to intelligence. The monitoring of the manufacturing process is the core of intelligent manufacturing. How to effectively monitor the processing status is the core area of ​​research and development that countries around the world are committed to. [0003] During the cutting process, it is very difficult to obtain the dynamic frequency response function of a certain subsystem of the machining system. Most of the existing research methods are mathematical analysis methods, or the static response function of the subsystem is obtained through hammering experiments. The static response function approximates the dynamic response functi...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/00G06K9/62G01M7/02
CPCG01M7/02G06F2218/04G06F2218/08G06F18/214
Inventor 刘红奇
Owner HUAZHONG UNIV OF SCI & TECH
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