A tool damage detection method based on visual feature extraction

Abstract

The invention discloses a tool damage detection method based on visual feature extraction. By dividing the tool damage area into a wear area and a damaged area, after extracting the two areas respectively, the geometric feature of the sum of the two areas is used as the tool damage degree And the discrimination standard of the damage type; among them, the wear area is through target fusion, which combines the wear area in the image with the tool intact area into one area, and then transfers the tool wear area to the background area through target transfer, and merges with the background into an area, It is obtained based on image difference extraction; the damaged area is obtained by collecting the intact cutting edge pixels in the image, reconstructing the upper and lower boundaries of the tool cutting edge based on data fitting, and then extracting it through the difference method. The invention provides an effective visual detection method for tool damage, and can perform high-reliability diagnosis for damage types such as tool front and flank wear and tool chipping.

Description

technical field [0001] The invention belongs to the technical field of tool detection, in particular to a tool damage detection method based on visual feature extraction. Background technique [0002] During the cutting process, the tool tip, front and back and the workpiece are violently rubbed, and the temperature of the contact area increases sharply. Under the joint erosion of cutting force and cutting heat, the tool is bound to be damaged, which in turn affects the machining accuracy and causes machine tool failure in severe cases. Even casualties and huge economic losses. Therefore, there is an urgent need to develop effective tool damage detection techniques. At present, according to the different monitoring methods, the tool condition monitoring methods are usually divided into indirect measurement and direct measurement. The indirect detection method is to judge the damage state of the tool by indirectly detecting the signal generated when the tool is worn and dam...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a tool damage detection method based on visual feature extraction. By simultaneously measuring the wear area and the damaged area as the total damage feature of the tool, the accuracy of tool damage monitoring can be improved, and the problem of high tool damage based on machine vision in the machining process can be solved. fine detection problem

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