Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/9090
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DC Field | Value | Language |
---|---|---|
dc.contributor.author | Unal, Perin | - |
dc.contributor.author | Deveci, Bilgin Umut | - |
dc.contributor.author | Ozbayoglu, Ahmet Murat | - |
dc.date.accessioned | 2022-11-30T19:27:45Z | - |
dc.date.available | 2022-11-30T19:27:45Z | - |
dc.date.issued | 2022 | - |
dc.identifier.isbn | 9783031143915 | - |
dc.identifier.isbn | 9783031143908 | - |
dc.identifier.issn | 0302-9743 | - |
dc.identifier.issn | 1611-3349 | - |
dc.identifier.uri | https://doi.org/10.1007/978-3-031-14391-5_15 | - |
dc.description | Deveci, Bilgin Umut/0000-0002-0644-0782; Unal, Perin/0000-0003-1357-2430; Ozbayoglu, Murat/0000-0001-7998-5735 | en_US |
dc.description.abstract | Tool wear prediction/monitoring of CNCs is crucial for improving manufacturing efficiency, guaranteeing product quality, and minimizing tool costs. As a computer-aided application, it has a significant role in the future and development of Industry 4.0. Sensors are the key piece of hardware used by data-driven enterprises to predict/monitor tool wear. The purpose of this study is to inform about the predominant types of sensors used for tool wear monitoring/prediction. This study serves as a resource for researchers and manufacturers by providing the recent trends in sensors for tool wear monitoring. Thus, it may help reduce the time spent on sensor selection. | en_US |
dc.language.iso | en | en_US |
dc.publisher | Springer International Publishing Ag | en_US |
dc.relation.ispartof | 18th International Conference on Mobile Web and Intelligent Information Systems (MobiWIS) -- AUG 22-24, 2022 -- Rome, ITALY | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Sensors | en_US |
dc.subject | Industry 4.0 | en_US |
dc.subject | Accelerometer | en_US |
dc.subject | Acoustic Emission | en_US |
dc.subject | Microphone | en_US |
dc.subject | Current Sensor | en_US |
dc.subject | Dynamometer | en_US |
dc.title | A Review: Sensors Used in Tool Wear Monitoring and Prediction | en_US |
dc.type | Conference Object | en_US |
dc.relation.ispartofseries | Lecture Notes in Computer Science | - |
dc.department | TOBB University of Economics and Technology | en_US |
dc.identifier.volume | 13475 | en_US |
dc.identifier.startpage | 193 | en_US |
dc.identifier.endpage | 205 | en_US |
dc.authorid | Deveci, Bilgin Umut/0000-0002-0644-0782 | - |
dc.authorid | Unal, Perin/0000-0003-1357-2430 | - |
dc.authorid | Ozbayoglu, Murat/0000-0001-7998-5735 | - |
dc.identifier.wos | WOS:000870672500015 | - |
dc.identifier.scopus | 2-s2.0-85136935849 | - |
dc.institutionauthor | Özbayoglu, Ahmet Murat | - |
dc.identifier.doi | 10.1007/978-3-031-14391-5_15 | - |
dc.authorwosid | Ünal, Perin/Iwv-3011-2023 | - |
dc.authorwosid | Ozbayoglu, Murat/H-2328-2011 | - |
dc.relation.publicationcategory | Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı | en_US |
dc.identifier.scopusquality | Q3 | - |
dc.ozel | 2022v3_Edit | en_US |
dc.identifier.wosquality | N/A | - |
dc.description.woscitationindex | Conference Proceedings Citation Index - Science | - |
item.grantfulltext | none | - |
item.openairetype | Conference Object | - |
item.cerifentitytype | Publications | - |
item.openairecristype | http://purl.org/coar/resource_type/c_18cf | - |
item.languageiso639-1 | en | - |
item.fulltext | No Fulltext | - |
Appears in Collections: | Bilgisayar Mühendisliği Bölümü / Department of Computer Engineering Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection |
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