Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends
dc.authorid | KORKMAZ, Mehmet Erdi/0000-0002-0481-6002 | |
dc.authorid | Binali, Rustem/0000-0003-0775-3817 | |
dc.contributor.author | Binali, Rustem | |
dc.contributor.author | Kuntoglu, Mustafa | |
dc.contributor.author | Pimenov, Danil Yu. | |
dc.contributor.author | Usca, Usame Ali | |
dc.contributor.author | Gupta, Munish Kumar | |
dc.contributor.author | Korkmaz, Mehmet Erdi | |
dc.date.accessioned | 2024-09-29T15:57:56Z | |
dc.date.available | 2024-09-29T15:57:56Z | |
dc.date.issued | 2022 | |
dc.department | Karabük Üniversitesi | en_US |
dc.description.abstract | This review paper summarizes the application of smart manufacturing systems utilized in drilling and hole machining processes. In this perspective, prominent sensors such as vibration, cutting forces, temperature, current/power and sound used in the contemporary indirect and direct tool condition monitoring systems are handled one-by-one according to their applications during machining of holes. Thus, it is aimed to show several operations with the application stages and literature papers which utilize the sensorial data such as grinding, reaming, broaching, boring, tapping, drilling and countersinking. The novel side of this paper is summarizing the all-hole machining processes utilizing sensor systems while benefitting their predictive ability for improved machinability characteristics such as surface integrity, tool wear, dimensional accuracy, chip morphology. | en_US |
dc.description.sponsorship | Norwegian Financial Mechanism [2020/37/K/ST8/02795] | en_US |
dc.description.sponsorship | The research leading to these results has received funding from the Norwegian Financial Mechanism 2014-2021, Project Contract No 2020/37/K/ST8/02795. | en_US |
dc.identifier.doi | 10.1016/j.measurement.2022.111757 | |
dc.identifier.issn | 0263-2241 | |
dc.identifier.issn | 1873-412X | |
dc.identifier.scopus | 2-s2.0-85136494909 | en_US |
dc.identifier.scopusquality | Q1 | en_US |
dc.identifier.uri | https://doi.org/10.1016/j.measurement.2022.111757 | |
dc.identifier.uri | https://hdl.handle.net/20.500.14619/5105 | |
dc.identifier.volume | 201 | en_US |
dc.identifier.wos | WOS:000847935700001 | en_US |
dc.identifier.wosquality | Q1 | en_US |
dc.indekslendigikaynak | Web of Science | en_US |
dc.indekslendigikaynak | Scopus | en_US |
dc.language.iso | en | en_US |
dc.publisher | Elsevier Sci Ltd | en_US |
dc.relation.ispartof | Measurement | en_US |
dc.relation.publicationcategory | Diğer | en_US |
dc.rights | info:eu-repo/semantics/closedAccess | en_US |
dc.subject | Hole machining | en_US |
dc.subject | Industry 4 | en_US |
dc.subject | 0 | en_US |
dc.subject | Sensors | en_US |
dc.subject | Smart manufacturing system | en_US |
dc.subject | Tool condition monitoring | en_US |
dc.title | Advance monitoring of hole machining operations via intelligent measurement systems: A critical review and future trends | en_US |
dc.type | Review | en_US |