A kind of detection method of grinding chatter

Abstract

The invention discloses a detection method of grinding processing chattering. Firstly, segmentation and windowing treatment is performed on a measured chattering signal; next, minimum entropy deconvolution filtering treatment is performed on all sections of the signal respectively, and the influence of a propagation path on the chattering characteristic signal is eliminated; then burst interference signals are eliminated through unbiased autocorrelation sequence calculation; and finally, the chattering characteristic signal is quantified with the kurtosis index, a chattering threshold value is set, and the chattering state of a grinding machine is determined through comparison of the chattering threshold value with the quantified chattering characteristic signal. The method has the universality and the anti-interference performance, the chattering threshold value is not affected by processing equipment, processing parameters and burst signals in test signals, and the method is suitable for online detection of grinding chattering, can be popularized and used in machine tool enterprises, meets the development requirement of intelligent machine tools and has the broad application prospect.

Description

technical field [0001] The invention relates to the technical field of chatter detection during machine tool processing, in particular to a method for detecting chatter in grinding processing. Background technique [0002] As a common finishing process, grinding has a decisive influence on the geometric accuracy and surface quality of products. Grinding chatter is one of the most serious factors affecting machining efficiency and surface quality. The occurrence of grinding chatter will aggravate the wear of the grinding wheel, generate abnormal noise, reduce the life of machine tool components, and reduce the processing accuracy and surface quality of products. The evolution of grinding chatter behavior has stages, usually including early stage, rising stage and stable development stage. In the grinding process, only by detecting the chatter at an early stage and taking suppression measures can the damage to the machining accuracy and surface quality of the product be avoi...

AI Technical Summary

Problems solved by technology

At present, the existing online detection methods for grinding chatter have poor versatility, mainly because the chatter threshold is sensitive to processing equipment and processing parameters.

The reason is that the flutter signal measured by the external sensor is the result of the convolution of the flutter characteristic signal and the propagation path unit (bearing, shaft, sensor, etc.), in which the flutter characteristic signal has been polluted and the signal-to-noise ratio is reduced

Therefore, it is difficult to achieve early chatter detection by directly using the test signal with low signal-to-noise ratio. The key to solving this problem is to eliminate the convolution effect of the propagation path on the chatter characteristic signal and obtain a chatter characteristic signal with a high signal-to-noise ratio.

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