Authors : Ketki Shirbavikar; Vedant Awachar; Chetan Bhagat; Prathamesh Bhosale; Bhushan Berlikar; Om Bobade; Nihar Dhepe

Volume/Issue : Volume 10 - 2025, Issue 11 - November

Google Scholar : https://tinyurl.com/36bfmh9f

Scribd : https://tinyurl.com/4ehff4k6

DOI : https://doi.org/10.38124/ijisrt/25nov1341

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Abstract : The most widely used output measure in the machining process for assessing the machinability of a material is tool life. The main factor influencing tool life is tool wear rate. To identify when a tool has reached the end of its design life and has to be replaced, tool wear must be measured. The primary focus of this work is the use of image processing to measure tool wear. Due to the extreme heat and cutting forces generated when machining materials with a high degree of hardness, usually over 35 HRC, serious difficulties appear. These include short tool life and rapid tool wear. The difficulties are even worse if the hardness exceeds 45 HRC because localized shearing turns the chips from continuous to serrated shapes, increasing the pressure and temperature even further. In this project, we'll utilize MATLAB to employ image processing techniques to determine tool wear. We may use MATLAB's many functions to perform image processing. For example, we are using the sober approach for edge detection to identify the wear on the edge. We'll be using another function that is comparable to this one. This imaging technology is more advantageous for calculating tool wear cheaply.

Keywords : Tool Wear, Image Processing, MATLAB.

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