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dc.contributor.authorJimenez Cortadi, Alberto
dc.contributor.authorIrigoien, Itziar
dc.contributor.authorBoto, Fernando
dc.contributor.authorSierra, Basilio
dc.contributor.authorSuarez, Alfredo
dc.contributor.authorGalar, Diego
dc.date.accessioned2018-07-04T11:58:11Z
dc.date.available2018-07-04T11:58:11Z
dc.date.issued2018
dc.identifier.issn1507-2711en
dc.identifier.urihttp://hdl.handle.net/11556/585
dc.description.abstractRadial turning forces for tool-life improvements are studied, with the emphasis on predictive rather than preventive maintenance. A tool for wear prediction in various experimental settings of instability is proposed through the application of two statistical approaches to process data on tool-wear during turning processes: three sigma edit rule analysis and Principal Component Analysis (PCA). A Linear Mixed Model (LMM) is applied for wear prediction. These statistical approaches to instability detection generate results of acceptable accuracy for delivering expert opinion. They may be used for on-line monitoring to improve the processing of different materials. The LMM predicted significant differences for tool wear when turning different alloys and with different lubrication systems. It also predicted the degree to which the turning process could be extended while conserving stability. Finally, it should be mentioned that tool force in contact with the material was not considered to be an important input variable for the model.en
dc.description.sponsorshipThe work was performed as a part of the HIMMOVAL (Grant Agreement Number: 620134) project within the CLEAN-SKY program, linked to the SAGE2 project for geared open-rotor development and the delivery of the demonstrator part. Funding through grant IT900-16 is also acknowledged from the Basque Government Department of Education, Universities and Research.en
dc.language.isoengen
dc.publisherPolish Academy of Sciences Branch Lublinen
dc.titleA statistical data-based approach to instability detection and wear prediction in radial turning processesen
dc.typearticleen
dc.identifier.doi10.17531/ein.2018.3.8en
dc.relation.projectIDinfo:eu-repo/grantAgreement/EC/FP7/620134/EU/High speed metallic material removal under acceptable surface integrity for rotating frame/HIMMOVALen
dc.rights.accessRightsopenAccessen
dc.subject.keywordsRadial turningen
dc.subject.keywordsTool-life improvementen
dc.subject.keywordsInstability detectionen
dc.subject.keywordsWear predictionen
dc.subject.keywordsLinear Mixed Modelsen
dc.issue.number3en
dc.journal.titleEksploatacja i Niezawodnosc - Maintenance and Reliabilityen
dc.page.final412en
dc.page.initial405en
dc.volume.number20en


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