Abstract
The present study presents a practical system to predict tool wear considering cutting conditions and workpiece components. The proposed system is developed for automation of production processes, optimization of cutting conditions, development of new workpiece materials, etc. The system consists of tool temperature analysis and tool wear prediction. The tool temperature is simulated by FEM analysis, and then the tool wear is predicted by utilizing the simulated temperature. The tool wear prediction model has a few constants which need to be identified for each set of tool and workpiece materials. The constants are identified and the material properties are measured for steel workpiece and a carbide tool, and the system is verified by some experiments in the present research.
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More From: Journal of the Japan Society for Precision Engineering
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