Indirect monitoring of machining characteristics via advanced sensor systems: a critical review

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dc.authoridKORKMAZ, Mehmet Erdi/0000-0002-0481-6002
dc.authoridKUNTOGLU, MUSTAFA/0000-0002-7291-9468
dc.authoridKrolczyk, Grzegorz/0000-0002-2967-1719
dc.authoridBinali, Rustem/0000-0003-0775-3817
dc.authoridYASAR, NAFIZ/0000-0002-1427-1384
dc.authoridPimenov, Danil/0000-0002-5568-8928
dc.authoridGupta, Munish/0000-0002-0777-1559
dc.contributor.authorKorkmaz, Mehmet Erdi
dc.contributor.authorGupta, Munish Kumar
dc.contributor.authorLi, Zhixiong
dc.contributor.authorKrolczyk, Grzegorz M.
dc.contributor.authorKuntoglu, Mustafa
dc.contributor.authorBinali, Rustem
dc.contributor.authorYasar, Nafiz
dc.date.accessioned2024-09-29T15:50:57Z
dc.date.available2024-09-29T15:50:57Z
dc.date.issued2022
dc.departmentKarabük Üniversitesien_US
dc.description.abstractOn-line monitoring of the machining processes provides to detect the amount and type of tool wear which is critical for the determination of remaining useful lifetime of cutting tool. According to Industry 4.0 revolution, the machining performance in terms of cutting forces, surface roughness, power consumptions, tool wear, tool life, etc. needs to be automatically monitored because the unfavorable conditions in machining cause chatter vibrations, tool breakage, and dimensional accuracy. Therefore, the usage of advanced sensor systems plays a key role in achieving the improved machining characteristics in terms of less human effort, errors, production time, etc. and fulfills the requirement of Industry 4.0. Hence, this review presents the holistic knowledge of online detection systems including sensors and signal processing software preferred in mechanical machining operations. Initially, this paper is starting with the up-to-date literature introduction section followed by type of sensors used in machining, online detection methods in machining, challenges and suggestions, etc. Eventually, the article concluded the findings and future remarks especially focused on the theme of Industry 4.0. In the end, it is worthy to mention that this review paper is very helpful for researchers and academicians working in the industrial sectors.en_US
dc.description.sponsorshipPolish National Agency For Academic Exchange (NAWA) [PPN/ULM/2020/1/00121]; National Science Center (NCN) Project [UMO-2020/37/K/ST8/02795]en_US
dc.description.sponsorshipThe authors would like to thanks Polish National Agency For Academic Exchange (NAWA) No. PPN/ULM/2020/1/00121 and National Science Center (NCN) Project No. UMO-2020/37/K/ST8/02795 for financial supports.en_US
dc.identifier.doi10.1007/s00170-022-09286-x
dc.identifier.endpage7078en_US
dc.identifier.issn0268-3768
dc.identifier.issn1433-3015
dc.identifier.issue11-12en_US
dc.identifier.scopus2-s2.0-85129513519en_US
dc.identifier.scopusqualityQ1en_US
dc.identifier.startpage7043en_US
dc.identifier.urihttps://doi.org/10.1007/s00170-022-09286-x
dc.identifier.urihttps://hdl.handle.net/20.500.14619/3818
dc.identifier.volume120en_US
dc.identifier.wosWOS:000790703400001en_US
dc.identifier.wosqualityQ2en_US
dc.indekslendigikaynakWeb of Scienceen_US
dc.indekslendigikaynakScopusen_US
dc.language.isoenen_US
dc.publisherSpringer London Ltden_US
dc.relation.ispartofInternational Journal of Advanced Manufacturing Technologyen_US
dc.relation.publicationcategoryDiğeren_US
dc.rightsinfo:eu-repo/semantics/closedAccessen_US
dc.subjectCutting forcesen_US
dc.subjectIndustry 4en_US
dc.subject0en_US
dc.subjectSensorsen_US
dc.subjectSignal processingen_US
dc.subjectTool monitoringen_US
dc.subjectTool wearen_US
dc.titleIndirect monitoring of machining characteristics via advanced sensor systems: a critical reviewen_US
dc.typeReviewen_US

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