Milling chatter online detection method based on power spectral entropy difference

A technology for milling chatter and detection method, which is used in measuring/indicating equipment, metal processing mechanical parts, metal processing equipment, etc. Sensitivity, increased sensitivity and accuracy

Active Publication Date: 2019-04-12
XI AN JIAOTONG UNIV
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Problems solved by technology

During the process of milling from steady development to flutter, the signal evolves from a narrow-band distribution in the low-frequency band to a broadband distribution, and finally forms a narrow-band distribution in the high-fre

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  • Milling chatter online detection method based on power spectral entropy difference
  • Milling chatter online detection method based on power spectral entropy difference
  • Milling chatter online detection method based on power spectral entropy difference

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Embodiment Construction

[0035] The present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0036] The milling chatter online detection method based on power spectrum entropy difference of the present invention comprises the following steps:

[0037] (1) Signal collection:

[0038] Such as figure 1 As shown, the milling cutter 3 is clamped and installed on the main shaft 1 by the tool handle 2, and the three-way acceleration signal sensor 5 is installed on the end of the main shaft 1. The parameters of the three-way acceleration signal sensor 5 are shown in Table 1. The three-way acceleration signal sensor 5 Cooperate with data acquisition card 6, the parameter of data acquisition card 6 is as shown in table 2, to acceleration signal sensor 5 and data acquisition card 6 are used for gathering the acceleration signal in the milling process, the acceleration signal that gathers is with X=[x 1 ,x 2 ,...,x n ] represents, n ...

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Abstract

The invention discloses a milling chatter online detection method based on the power spectral entropy difference. Through an acceleration sensor, vibration information in the milling process can be obtained; variation modal decomposition is used for decomposing a signal into a set of basic mode components, a basic mode component reconstruction signal of the high-frequency part is taken to obtain asignal of a frequency segment where a chatter component is located, the reconstruction signal is subjected to self-adaptation filtering, the power spectral entropy before and after signal filtering can be calculated, the obtained power spectral entropy is subjected to differencing to obtain the power spectral entropy difference, and the influence of filtering on chatter frequency band signal frequency spectrum distribution can be reflected. Compared with a traditional chatter detection method, the method can effectively separate chatter frequency segment signal, the threshold value reflects that influence of filtering on different state signals has the clear physical meaning, randomness of threshold selection can be avoided, accuracy and reliability of milling chatter detection can be improved, and the misjudgment rate and the misdetection rate can be reduced.

Description

technical field [0001] The invention belongs to the technical field of detection of machining state, and in particular relates to an online detection method of milling chatter based on power spectrum entropy difference. Background technique [0002] Milling is the most common machining method. It has the advantages of high efficiency, high precision, and low cost. It is widely used in manufacturing fields such as aviation, aerospace, molds, and automobiles. Chatter is a strong self-excited vibration in the metal cutting process, which will reduce the surface quality and size of the workpiece, reduce the pass rate of processing, and cause premature fatigue damage of machine tool parts, and aggravate tool wear. Choosing conservative processing parameters can avoid the outbreak of chatter, but reduces the processing efficiency. Although the analytical method can analyze the stability lobe diagram of milling and select the appropriate processing parameters based on this, due to...

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Application Information

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IPC IPC(8): B23Q17/12
CPCB23Q17/12
Inventor 李小虎黄晓玮万少可苑俊朋赵根
Owner XI AN JIAOTONG UNIV
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