Cutter damage detection method based on image region division

Abstract

The invention discloses a cutter damage detection method based on image region division. The cutter damage detection method comprises the steps: dividing a cutter damage region into a wear region anda damage region, respectively extracting the two regions, and taking the geometrical characteristics of the sum of the two regions as the discrimination standard of the cutter damage degree and damagetype, wherein the wear region is obtained by equally dividing the image into a plurality of pixel blocks, performing image segmentation on each pixel block to obtain a local threshold value, and performing scanning extraction on the whole image by taking the maximum local threshold value as the optimal threshold value; and the damaged area is obtained by collecting complete cutting edge pixel points in an image, reconstructing the upper and lower boundaries of the cutting edge of the cutter based on data fitting and then extracting through a difference method. The invention provides an effective visual detection method for cutter damage, capable of carrying out high-reliability diagnosis on damage types such as cutter back cutter surface abrasion and cutter tipping.

Description

technical field [0001] The invention belongs to the technical field of tool detection, in particular to a tool damage detection method based on image area division. Background technique [0002] During the cutting process, the tool tip and the front and back of the tool rub against the workpiece violently, and the temperature in the contact area increases sharply. Under the joint erosion of cutting force and cutting heat, the tool is bound to be damaged, which will affect the machining accuracy and cause machine failure in severe cases. Even casualties and huge economic losses. Therefore, it is urgent to develop effective tool damage detection technology. At present, according to the different monitoring methods, 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 damaged. It has st...

AI Technical Summary

Problems solved by technology

[0004] The purpose of the present invention is to provide a tool damage detection method based on image area division, 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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