Publication: Sensorless in-process runout monitoring in milling via an industrial edge device
| dc.contributor.department | MARC (Manufacturing and Automation Research Center) | |
| dc.contributor.kuauthor | Faculty Member, Lazoğlu, İsmail | |
| dc.contributor.kuauthor | PhD Student, Chehrehzad, Mohammadreza | |
| dc.contributor.schoolcollegeinstitute | Research Center | |
| dc.date.accessioned | 2025-05-22T10:34:20Z | |
| dc.date.available | 2025-05-22 | |
| dc.date.issued | 2025 | |
| dc.description.abstract | Runout in CNC machine tools is a critical factor affecting machining accuracy, surface finish, and tool wear. This article introduces an innovative sensorless approach for monitoring in-process runout during milling. In-process runout is assessed using an industrial edge device that analyzes spindle current and torque signals, which exhibit a strong correlation with dynamometer data. Frequency-domain analysis of the spindle current and torque signals enables sensorless monitoring of runout in real-time. Experimental results on milling of TiAl6V4 demonstrate the potential of this non-intrusive approach for in-process runout detection, offering a cost-effective solution to enhance machining efficiency and precision in smart manufacturing. © 2025 CIRP | |
| dc.description.fulltext | No | |
| dc.description.harvestedfrom | Manual | |
| dc.description.indexedby | Scopus | |
| dc.description.publisherscope | International | |
| dc.description.readpublish | N/A | |
| dc.description.sponsoredbyTubitakEu | N/A | |
| dc.description.sponsorship | Koç University – Siemens IoT Edge Research Lab’s | |
| dc.identifier.doi | 10.1016/j.cirp.2025.04.014 | |
| dc.identifier.embargo | No | |
| dc.identifier.issn | 0007-8506 | |
| dc.identifier.quartile | N/A | |
| dc.identifier.scopus | 2-s2.0-105002904166 | |
| dc.identifier.uri | https://hdl.handle.net/20.500.14288/29366 | |
| dc.keywords | Industrial edge device | |
| dc.keywords | Milling | |
| dc.keywords | Monitoring | |
| dc.language.iso | eng | |
| dc.publisher | Elsevier Inc. | |
| dc.relation.affiliation | Koç University | |
| dc.relation.collection | Koç University Institutional Repository | |
| dc.relation.ispartof | CIRP Annals | |
| dc.relation.openaccess | No | |
| dc.rights | Copyrighted | |
| dc.title | Sensorless in-process runout monitoring in milling via an industrial edge device | |
| dc.type | Journal Article | |
| dspace.entity.type | Publication | |
| relation.isOrgUnitOfPublication | 52df3968-be7f-4c06-92e5-3b48e79ba93a | |
| relation.isOrgUnitOfPublication.latestForDiscovery | 52df3968-be7f-4c06-92e5-3b48e79ba93a | |
| relation.isParentOrgUnitOfPublication | d437580f-9309-4ecb-864a-4af58309d287 | |
| relation.isParentOrgUnitOfPublication.latestForDiscovery | d437580f-9309-4ecb-864a-4af58309d287 |
