Tool wear detection method based on minimum enclosing rectangle

Abstract

The invention discloses a tool wear detection method based on a minimum enclosing rectangle, relates to a tool wear detection method, and aims to solve the problems that by the existing method for realizing tool damage detection, an acquired image cannot be identified due to relatively high environmental impact, the wear amount of a tool cannot be accurately obtained, and the maximum service life of the tool cannot be evaluated. The detection method mainly comprises the following steps: 1, acquiring a tool wear image by an image acquisition system, and transmitting the image to a computer; 2, performing image preprocessing on the acquired wear image; 3, calculating the minimum enclosing rectangle of a tool wear region on the preprocessed image by using a minimum enclosing rectangle algorithm, and calculating the width of the minimum enclosing rectangle; and 4, comparing the calculated width of the minimum enclosing rectangle of the tool wear region with the width of the minimum enclosing rectangle of a blade to obtain a ratio, and judging the size of the tool wear amount according to the size of the ratio so as to judge the tool wear degree. The method is used for detecting the tool wear.

Description

technical field [0001] The invention relates to a tool wear detection method, in particular to a tool wear detection method based on a minimum circumscribed rectangle, and belongs to the field of machine vision tool wear detection. Background technique [0002] During BTA deep hole drilling, tool wear is an inevitable phenomenon in mechanical processing. Tool wear will directly affect processing quality, efficiency and economic benefits. Studying tool wear can maximize the use of tool life for mechanical processing. And it is of great significance to reduce the processing cost. As people's research on machine vision becomes more and more in-depth, tool wear detection based on machine vision is used more and more in the field of tool wear monitoring. Machine vision observation of tool wear is more intuitive, and it is more accurate than the traditional method where workers judge tool wear based on observing the workpiece surface, vibration and noise to consider whether to ch...

AI Technical Summary

Problems solved by technology

[0003] The present invention proposes a tool wear detection method based on the minimum circumscribed rectangle to solve the existing method to realize tool damage detection, which is greatly affected by the environment, the collected image is blurred and cannot be recognized, the wear amount of the tool cannot be accurately obtained, and the evaluation cannot be realized The problem of maximizing tool life

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