期刊
JOURNAL OF MATERIALS RESEARCH AND TECHNOLOGY-JMR&T
卷 9, 期 1, 页码 1032-1042出版社
ELSEVIER
DOI: 10.1016/j.jmrt.2019.10.031
关键词
Milling process; Tool condition monitoring system; Sensor fusion; Feature extraction; Machine learning algorithm
资金
- University Grants Commission (UGC) [43-443/2014 (SR)]
The most important improvement in metal the cutting industry is the continuous utilization of cutting tools and tool condition monitoring system. In the metal cutting process, the tool condition has to be administered either by operators or by online condition monitoring systems to prevent damage to both machine tools and workpiece. Online tool condition monitoring system is highly essential in modern manufacturing industries for the rising requirements of cost reduction and quality improvement. This paper summaries various monitoring methods for tool condition monitoring in the milling process that have been practiced and described in the literature. (C) 2019 Published by Elsevier B.V.
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