Tool wear detection in dry high-speed milling based upon the analysis of machine internal signals

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dc.contributor.authorRivero, A.
dc.contributor.authorLópez de Lacalle, L. N.
dc.contributor.authorPenalva, Ma Luz
dc.contributor.institutionSG
dc.contributor.institutionFABRIC_INTEL
dc.date.accessioned2024-07-24T12:01:06Z
dc.date.available2024-07-24T12:01:06Z
dc.date.issued2008-12
dc.description.abstractUnattended machining plants require intelligent monitoring systems, able to detect the different events that can happen during the machining process. In particular, the control of tool wear is an important objective of a monitoring system when dry machining is applied. This work evaluates the suitability of a tool wear monitoring system based on machine tool internal signals. It presents a sensorless monitoring procedure for the dry and high-speed milling of aerospace aluminium alloys. Dry high-speed experiments were performed using aluminium Al 7075-T6 workpieces. The sensor data from internal signals were compared and analyzed, assessing the deviation in representative variables in time and frequency domains. The signal analysis confirmed the relevance of cutting force signals for tool wear monitoring in the high-speed milling of aluminium alloys.en
dc.description.sponsorshipThe research was sponsored by the Basque Government project Advance Manufacturing Technologies and Coordinated by the marGUNE Cooperative Research Center. Authors wish to thank to Gorka Aramendi for the performed tests and Prof. Justino Fernández (Universidad de Navarra) for his useful help and discussions, and J.C. Yurre of Aotek for his valuable suggestions.
dc.description.statusPeer reviewed
dc.format.extent7
dc.identifier.citationRivero , A , López de Lacalle , L N & Penalva , M L 2008 , ' Tool wear detection in dry high-speed milling based upon the analysis of machine internal signals ' , Mechatronics , vol. 18 , no. 10 , pp. 627-633 . https://doi.org/10.1016/j.mechatronics.2008.06.008
dc.identifier.doi10.1016/j.mechatronics.2008.06.008
dc.identifier.issn0957-4158
dc.identifier.urihttps://hdl.handle.net/11556/3110
dc.identifier.urlhttp://www.scopus.com/inward/record.url?scp=53649108944&partnerID=8YFLogxK
dc.language.isoeng
dc.relation.ispartofMechatronics
dc.relation.projectIDBasque Government project Advance Manufacturing Technologies
dc.relation.projectIDmarGUNE Cooperative Research Center
dc.rightsinfo:eu-repo/semantics/restrictedAccess
dc.subject.keywordsAluminium alloys
dc.subject.keywordsDry milling
dc.subject.keywordsHigh-speed milling
dc.subject.keywordsSensorless monitoring
dc.subject.keywordsTool wear
dc.subject.keywordsMechanical Engineering
dc.subject.keywordsComputer Science Applications
dc.subject.keywordsElectrical and Electronic Engineering
dc.titleTool wear detection in dry high-speed milling based upon the analysis of machine internal signalsen
dc.typejournal article
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