Tool condition monitoring techniques in milling process — a review

By T. Mohanraj, Subramaniam Shankar, R. Rajasekar, N. R. Sakthivel, A. Pramanik. 2020

342 citations recorded by the source corpus.

Abstract 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.

Subfields: Biomedical Engineering, Electrical and Electronic Engineering, Mechanical Engineering

View Paper: https://www.semanticscholar.org/paper/cea822780291393aa36334ec81e026c8b173beae

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In Biomedical Engineering

In Electrical and Electronic Engineering

In Mechanical Engineering

Citations in the corpus

Review of tool condition monitoring in machining and opportunities for deep learning (2020, background): “Some studies have shown that various sensor types are used for both single-and multi-teeth cutting operations for TCM [9, 100, 101].”
Artificial intelligence systems for tool condition monitoring in machining: analysis and critical review (2022, background): “Therefore, there is a requirement of effective monitoring system that can help in detecting tool failure in order to avoid unplanned downtime or to avoid working with a tool that does not provide the required surface roughness or dimensional accuracy (Mohanraj et al., 2020).”