Sensorless in-process runout monitoring in milling via an industrial edge device

IF 3.2 3区 工程技术 Q2 ENGINEERING, INDUSTRIAL
Mohammadreza Chehrehzad, Ismail Lazoglu (1)
{"title":"Sensorless in-process runout monitoring in milling via an industrial edge device","authors":"Mohammadreza Chehrehzad,&nbsp;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.
通过工业边缘设备监测铣削过程中的无传感器跳动
数控机床的跳动是影响加工精度、表面光洁度和刀具磨损的关键因素。本文介绍了一种创新的无传感器方法,用于监测铣削过程中的跳动。使用工业边缘设备评估过程中跳动,该设备分析主轴电流和扭矩信号,这些信号与测功机数据具有很强的相关性。主轴电流和转矩信号的频域分析使无传感器监测跳动的实时。铣削TiAl6V4的实验结果表明,这种非侵入式方法在过程中检测跳动的潜力,为提高智能制造的加工效率和精度提供了一种经济有效的解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
Cirp Annals-Manufacturing Technology
Cirp Annals-Manufacturing Technology 工程技术-工程:工业
CiteScore
7.50
自引率
9.80%
发文量
137
审稿时长
13.5 months
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.
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:604180095
Book学术官方微信