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Tool-Wear Monitoring and Control

Manufacturing Engineering and Materials Handling, Parts A and B, 2005
This 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
openaire   +2 more sources

Tool wear prediction in turning

Journal of Materials Processing Technology, 2004
Abstract 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
openaire   +2 more sources

Modeling and Multi-objective Optimization Method of Machine Tool Energy Consumption Considering Tool Wear

International Journal of Precision Engineering and Manufacturing - Green Technology, 2021
Bo Li, Xitian Tian, Min Zhang
semanticscholar   +1 more source

A Comprehensive Tool Wear Model

CIRP Annals, 1986
The 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
openaire   +2 more sources

A state-of-the-art review on tool wear and surface integrity characteristics in machining of superalloys

CIRP - Journal of Manufacturing Science and Technology, 2021
M. Sarıkaya   +7 more
semanticscholar   +1 more source

Tool wear and machinability investigations in dry turning of Cu/Mo-SiCp hybrid composites

The International Journal of Advanced Manufacturing Technology, 2021
Emine Şap   +3 more
semanticscholar   +1 more source

Tool wear state prediction based on feature-based transfer learning

The International Journal of Advanced Manufacturing Technology, 2021
Jianbo Li   +4 more
semanticscholar   +1 more source

Prehensile Wear on Flint Tools

Lithic Technology, 2004
AbstractMicroscopic 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 ...
openaire   +2 more sources

Application of machine vision method in tool wear monitoring

The International Journal of Advanced Manufacturing Technology, 2021
R. Peng   +4 more
semanticscholar   +1 more source

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