Research On Tool Wear Monitoring Based On Machine Vision In NC Milling Process

In the mechanical machining process, the tool wear will seriously affect the quality of themachining product, and even cause damage to machine tool. In order to further improve theautomation of machining process, tool wear monitor based on machine vision was studied anddiscussed for the assurance of machining quality and increase of machining efficiency in this paper.The main research works are as follows.1. The tool wear measurement technology based on machine vision was studied. The tool wearmonitoring method based on machine vision was firstly designed in this paper. Tool wear wasdetected from the tool image by the technology of image processing and analyzing. It provides a basisfor industrial application to on-line tool wear monitoring.2. The technique of tool wear modeling was discussed. The tool wear models based on BP ANNand least square support vector machine were established, and then the comparison and analysis of theprediction effect were presented. In order to improve the accuracy and stability, the technique of toolwear dynamic forecast was researched.3. The tool wear monitoring system based on machine vision was constructed. A numericalcontrol work table was designed to control the position of the camera, and then the right tool wearimages can be captured. The software of the tool wear monitoring was developed by using the VisualC++development tool.4. In order to validate the proposed scheme, a series of orthogonal machining experiments weredesigned and finished by using milling tools. The measurement results are chosen to train the toolwear models, and the technique of tool wear dynamic forecast was verified.