Measurement of tool wear using image processing

In this research, a reliable method for estimating the amount of tool wear is presented using image processing in MATLA5 software. Program code that can display wear of the blade milling numerically in the chart is designed to showcase all stages of wear. Preparation of experiments is done. The preparation process includes milling operations, tool, workpiece, vision measuring machine (VMM) and camera were provided for testing. First, the initial configuration for milling machine process (such as: spindle rotational speed, feed rate, depth removal) on the AISI10+0 steel workpiece with covered plating tool was done and picture was taken from all stages of cutting condition. In addition for verifying the performance of the designed code in MATLA5, after each time the edge of tool observed by VMM and wear rate was recorded and data of experiments were stored. As a result, the possibility of determining tool life was carried out with the help of image processing in the milling process. The output data from image processing can specify the tool life and trend of tool life completion.