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A tool damage detection method based on image area division

A damage detection and image area technology, applied in the field of tool detection, can solve problems such as tool damage, achieve good accuracy and improve detection accuracy.

Active Publication Date: 2022-07-26
NANJING UNIV OF SCI & TECH +2
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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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  • A tool damage detection method based on image area division
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  • A tool damage detection method based on image area division

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Embodiment Construction

[0035] The present invention will be further introduced below in conjunction with the accompanying drawings.

[0036] A tool damage detection method based on image area division is to divide the tool damage area into a wear area and a damaged area, take the two areas as targets, extract them from the image background and the tool intact area, and use the two areas as the target. The geometric features of the sum are used as the criterion for judging the degree of tool damage and the type of damage;

[0037] The tool wear area is the abrasion area formed by the sharp friction between the tool tip and the front and rear blade surfaces and the workpiece during the machining process; the area is based on the gray value of the tool image, and after selecting the best threshold value, it is extracted by image pixel scanning;

[0038] The tool damage area is the fine chipping and wear and tear areas that appear on the edge and tip of the tool during the tool processing; this area is ...

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Abstract

The invention discloses a tool damage detection method based on image area division. 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 criteria for judging the damage type; among them, the wear area is divided into several pixel blocks, and the local threshold is obtained by image segmentation of each pixel block, and then the entire image is scanned with the maximum local threshold as the optimal threshold. The damaged area is obtained by collecting the pixel points of the intact cutting edge in the image, reconstructing the upper and lower boundaries of the cutting edge of the tool based on data fitting, and then extracting it by the difference method. The present invention provides an effective visual detection method for tool damage, which can perform high-reliability diagnosis for damage types such as tool 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 image area division. Background technique [0002] During the cutting process, the tool tip and the front and back are violently rubbed with the workpiece, 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 will affect the machining accuracy and cause 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 damage...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/136G06T7/11G06T7/12G06T7/62
CPCG06T7/0004G06T7/136G06T7/11G06T7/12G06T7/62
Inventor 王禹林叶祖坤查文彬何玉辉汪振华
Owner NANJING UNIV OF SCI & TECH
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