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Tool-Wear Monitoring and Control
Manufacturing Engineering and Materials Handling, Parts A and B, 2005This paper presents, a control methodology based on experimental data of the tool wear as a function of cutting variables. In automatic machine tools there is strong need to control the tool wear by adjustment of the cutting parameters. In this connection, a control system, which can adjust the cutting parameters for a desired wear rate, is necessary ...
J. Srinivas+3 more
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Research on tool wear prediction based on temperature signals and deep learning
Wear, 2021Zhaopeng He+3 more
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Tool wear prediction in turning
Journal of Materials Processing Technology, 2004Abstract The aim of the present work is to develop a reliable method to predict flank wear precisely in a turning process by developing a mathematical model and comparing it with the experimental results. Some important factors like the index of diffusion, wear coefficient, rate of increase of normal load with respect to flank wear and the hardness ...
P. Srinivas, Sounak Kumar Choudhury
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International Journal of Precision Engineering and Manufacturing - Green Technology, 2021
Bo Li, Xitian Tian, Min Zhang
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Bo Li, Xitian Tian, Min Zhang
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A Comprehensive Tool Wear Model
CIRP Annals, 1986The mechanisms that control the wear rates of tool materials nay be separated into three regimes depending on the cutting temperature and the properties of the tool and workpiece materials. In the low temperature regime, mechanical wear processes such as abrasion are rate-controlling and the wear of the tool material is determined primarily by its ...
B.M. Kramer, B.F. von Turkovich
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CIRP - Journal of Manufacturing Science and Technology, 2021
M. Sarıkaya+7 more
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M. Sarıkaya+7 more
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Tool wear and machinability investigations in dry turning of Cu/Mo-SiCp hybrid composites
The International Journal of Advanced Manufacturing Technology, 2021Emine Şap+3 more
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Tool wear state prediction based on feature-based transfer learning
The International Journal of Advanced Manufacturing Technology, 2021Jianbo Li+4 more
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Prehensile Wear on Flint Tools
Lithic Technology, 2004AbstractMicroscopic functional research has mainly been focused on use-wear traces visible on working edges (active tool parts). Non-active parts have been largely neglected, although these parts may also carry traces worth exploring. Not only technological traces, but also prehensile traces can be observed, resulting from hand-held, wrapped or hafted ...
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Application of machine vision method in tool wear monitoring
The International Journal of Advanced Manufacturing Technology, 2021R. Peng+4 more
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