Optimization of cutting parameters using the online method to minimize tool wear
Abstract
Tool wear is a natural process that develops on the cutting tool during machining operations due to mechanical, chemical and mechanical processes. Tool wear will increase the surface roughness of the material and also increase the vibration of the workbench. This situation will affect the quality of the material as well as the increase of vibration will cause the faults to increase over time. In this study, an effective and efficient methodology is proposed to optimize cutting parameters with online monitoring of tool wear using accelerometer signals. In this strategy, a data acquisition system with tool vibration signals, surface roughness measured from a particular material and then Response Surface Methodology and Genetic Algorithm are integrated to create an automated tool for minimize tool wear. Using this approach, real time acquired 3 axes Vibration (Vx, Vy, Vz) signals data was collected and computer program was written to optimize cutting parameters.
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