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Review of Tool Condition Monitoring Methods

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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Year of Publication: 2018
Authors:
Ramesh Visariya, Ronak Ruparel, Rahul Yadav
10.5120/ijca2018916853

Ramesh Visariya, Ronak Ruparel and Rahul Yadav. Review of Tool Condition Monitoring Methods. International Journal of Computer Applications 179(37):29-32, April 2018. BibTeX

@article{10.5120/ijca2018916853,
	author = {Ramesh Visariya and Ronak Ruparel and Rahul Yadav},
	title = {Review of Tool Condition Monitoring Methods},
	journal = {International Journal of Computer Applications},
	issue_date = {April 2018},
	volume = {179},
	number = {37},
	month = {Apr},
	year = {2018},
	issn = {0975-8887},
	pages = {29-32},
	numpages = {4},
	url = {http://www.ijcaonline.org/archives/volume179/number37/29284-2018916853},
	doi = {10.5120/ijca2018916853},
	publisher = {Foundation of Computer Science (FCS), NY, USA},
	address = {New York, USA}
}

Abstract

With the increase of modern industries use of metal cutting procedure, it is evident that the tools used for this processes required proper care and monitoring. Tool wear one of the most important factors in machining processes as it greatly affects the tool life, which is important in metal cutting because of its direct impact on the quality of the finished job and also affect the efficiency of industries. Hence, ways to observe cutting tool and monitor its wear are needed for optimal use. An effective system can reduce machine downtime and economic losses. The paper presents a overview of many Tool Condition Monitoring Systems.

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Keywords

Decision Making Systems, Condition Monitoring, Neural Networks.