Tool condition monitoring techniques in milling process — a review

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...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:Journal of materials research and technology Jg. 9; H. 1; S. 1032 - 1042
Hauptverfasser: Mohanraj, T., Shankar, S., Rajasekar, R., Sakthivel, N.R., Pramanik, A.
Format: Journal Article
Sprache:Englisch
Veröffentlicht: Elsevier B.V 01.01.2020
Elsevier
Schlagworte:
Feature extraction
Machine learning algorithm
Milling process
Sensor fusion
Tool condition monitoring system
Sensor fusion
Feature extraction
Milling process
Tool condition monitoring system
Machine learning algorithm
ISSN:2238-7854
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
Beschreibung
Zusammenfassung: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.
ISSN:2238-7854
DOI:10.1016/j.jmrt.2019.10.031