Grinding chatter prediction method based on maximum information entropy and directional divergence

A technology of maximum information entropy and directional divergence, which is applied in the field of parts grinding and processing, can solve the problems that the model cannot be established and the analysis process cannot be self-adaptive, and achieves fast calculation speed, strong anti-interference ability, and high recognition rate. Effect

Inactive Publication Date: 2015-04-15
TONGJI UNIV
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Problems solved by technology

Traditional time-domain and frequency-domain analysis methods, such as FFT analysis, Wigner-Ville analysis, and wavelet analysis, are proposed based on linear assumptions. Their analysis process cannot be adaptive, and they belong to supervised learning methods, that is, the establishment of their models requires chatter The eigenvalues ​​train the model, and when the training samples are not available, the model cannot be established

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  • Grinding chatter prediction method based on maximum information entropy and directional divergence
  • Grinding chatter prediction method based on maximum information entropy and directional divergence
  • Grinding chatter prediction method based on maximum information entropy and directional divergence

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Embodiment 1

[0026] Embodiment one (theoretical basis)

[0027] The present invention takes the acceleration vibration signal of the workbench during the surface grinding process as the research object, and uses an unsupervised data processing method, that is, a chatter prediction method based on maximum information entropy and direction divergence, to analyze the grinding chatter state Make predictions. The present invention first uses the principle of maximum information entropy in information theory to accurately estimate the probability density distribution of the vibration signal of the workbench, and then uses the direction divergence to quantify the maximum entropy probability density distribution, and the surface grinding process is controlled by the change of the direction divergence value. The state is observed, and then the purpose of surface grinding chatter prediction is achieved.

[0028] Two aspects that the present invention needs to consider:

[0029] 1. Construction of ...

Embodiment 2

[0076] Embodiment two (specific example)

[0077] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0078] Step 1, the construction of the vibration signal acquisition system in the grinding process.

[0079] According to the characteristics of the vibration signal during the grinding process, the vibration signal measurement system is mainly composed of the following components: three-way acceleration sensor 5 (sensitivity: 100mV / g; frequency range: 0.3~10KHz; peak value ±50g), amplifier 6, and data acquisition card 7 (distributed system structure, dual DSP parallel processing technology, low-noise hardware design technology, filtering technology and 24-bit resolution ADC / DAC, sampling frequency can reach 192kHz,), computer 8.

[0080] Step 2, selecting the vibration acceleration signal of the workbench for analysis to determine the location of the sensor.

[0081] figure 1 It is a surface grind...

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Abstract

A grinding chatter prediction method based on maximum information entropy and directional divergence focuses on the study of acceleration vibration signals of a bench during plane grinding, and grinding chatter is predicted by means of unsupervised data processing, namely the chatter prediction method based on maximum information entropy and directional divergence. The method includes: firstly, precisely estimating probability density distribution of bench vibration signals according to the principle of maximum information entropy in informatics; and secondly, quantizing the maximum entropy probability density distribution by directional divergence, observing plane grinding states according to changes in directional divergence value, and predicting plane grinding chatter. The method avoids chatter by the real-time monitoring of grinding states. Compared with other chatter prediction methods, the method has such advantages that training data is not needed, calculating speed is high, processing results are highly resistant to interference, and recognition rate is high.

Description

technical field [0001] The invention belongs to the field of parts grinding, and in particular relates to a chatter prediction method for surface grinding. Background technique [0002] Chatter is a common harmful phenomenon in machining, which is mainly caused by the self-excited vibration between the tool and the workpiece. During the machining process, chatter will reduce the machining quality of the machined surface, increase tool wear, generate excessive noise, reduce machining efficiency, and accelerate machine tool damage. Therefore, in the process of processing, if the chatter vibration can be predicted and its change law can be observed, the chatter vibration can be effectively controlled, thereby eliminating the adverse effects caused by the chatter vibration. [0003] In the grinding process, due to the nonlinear characteristics of the moving parts (such as the nonlinearity caused by the friction force, load and damping changes of the moving parts), the vibration...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): B24B7/00B24B49/10
Inventor 董新峰张为民
Owner TONGJI UNIV
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