{"title":"Sensorless in-process runout monitoring in milling via an industrial edge device","authors":"Mohammadreza Chehrehzad, Ismail Lazoglu (1)","doi":"10.1016/j.cirp.2025.04.014","DOIUrl":null,"url":null,"abstract":"<div><div>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.</div></div>","PeriodicalId":55256,"journal":{"name":"Cirp Annals-Manufacturing Technology","volume":"74 1","pages":"Pages 99-102"},"PeriodicalIF":3.2000,"publicationDate":"2025-01-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Cirp Annals-Manufacturing Technology","FirstCategoryId":"5","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0007850625000617","RegionNum":3,"RegionCategory":"工程技术","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"ENGINEERING, INDUSTRIAL","Score":null,"Total":0}
引用次数: 0
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.
期刊介绍:
CIRP, The International Academy for Production Engineering, was founded in 1951 to promote, by scientific research, the development of all aspects of manufacturing technology covering the optimization, control and management of processes, machines and systems.
This biannual ISI cited journal contains approximately 140 refereed technical and keynote papers. Subject areas covered include:
Assembly, Cutting, Design, Electro-Physical and Chemical Processes, Forming, Abrasive processes, Surfaces, Machines, Production Systems and Organizations, Precision Engineering and Metrology, Life-Cycle Engineering, Microsystems Technology (MST), Nanotechnology.