Please use this identifier to cite or link to this item: https://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16616
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dc.contributor.authorPrakash, Satya-
dc.date.accessioned2024-08-29T05:43:39Z-
dc.date.available2024-08-29T05:43:39Z-
dc.date.issued2024-
dc.identifier.citationVol. 72, No. 1; pp. 1-11en_US
dc.identifier.issn0022-2755-
dc.identifier.urihttps://doi.org/10.18311/jmmf/2024/35911-
dc.identifier.urihttps://gnanaganga.inflibnet.ac.in:8443/jspui/handle/123456789/16616-
dc.description.abstractTungsten carbide inserts in rock drill bits are predominantly used in drilling rocks, particularly in mining industries. The research studies performed on drill bits have been limited to several factors such as collecting failure data of bit components from the field, conducting wear tests considering rock properties, and introducing new coated insert materials. The role of Artificial Intelligence (AI) and Machine Learning (ML) for the betterment of tool wear with real-time data is limited. The present study has offered an evaluative perspective of an essential industrial issue. In this review, a concept map presents a visual organization and representation of knowledge obtained during the study. Utilizing the propositions from the concept map, a brief review of the integrated concepts of researchers relating drill bits, failure data, numerical and statistical models, wear analysis, reliability assessment, and prerequisites in developing new materials have been discussed in the backdrop of the present study. © 2024, Books and Journals Private Ltd.. All rights reserved.en_US
dc.language.isoenen_US
dc.publisherJournal of Mines, Metals and Fuelsen_US
dc.publisherBooks and Journals Private Ltd.en_US
dc.subjectCoatingsen_US
dc.subjectReliabilityen_US
dc.subjectRock Propertiesen_US
dc.subjectTool Lifeen_US
dc.subjectTool Wearen_US
dc.titleA Review on Tool Life In Coal Measures Rocksen_US
dc.typeArticleen_US
Appears in Collections:Journal Articles

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