Please use this identifier to cite or link to this item:
https://hdl.handle.net/20.500.11851/9090
Title: | A Review: Sensors Used in Tool Wear Monitoring and Prediction | Authors: | Unal, Perin Deveci, Bilgin Umut Ozbayoglu, Ahmet Murat |
Keywords: | Sensors Industry 4.0 Accelerometer Acoustic Emission Microphone Current Sensor Dynamometer |
Publisher: | Springer International Publishing Ag | Series/Report no.: | Lecture Notes in Computer Science | 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. | Description: | Deveci, Bilgin Umut/0000-0002-0644-0782; Unal, Perin/0000-0003-1357-2430; Ozbayoglu, Murat/0000-0001-7998-5735 | URI: | https://doi.org/10.1007/978-3-031-14391-5_15 | ISBN: | 9783031143915 9783031143908 |
ISSN: | 0302-9743 1611-3349 |
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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