Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/104565
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dc.contributorDepartment of Industrial and Systems Engineeringen_US
dc.creatorZhang, Gen_US
dc.creatorTo, Sen_US
dc.date.accessioned2024-02-05T08:51:09Z-
dc.date.available2024-02-05T08:51:09Z-
dc.identifier.issn0268-3768en_US
dc.identifier.urihttp://hdl.handle.net/10397/104565-
dc.language.isoenen_US
dc.publisherSpringer UKen_US
dc.rights© Springer-Verlag London 2015en_US
dc.rightsThis version of the article has been accepted for publication, after peer review (when applicable) and is subject to Springer Nature’s AM terms of use (https://www.springernature.com/gp/open-research/policies/accepted-manuscript-terms), but is not the Version of Record and does not reflect post-acceptance improvements, or any corrections. The Version of Record is available online at: http://dx.doi.org/10.1007/s00170-015-8132-9.en_US
dc.subjectCutting chipsen_US
dc.subjectEvaluation systemen_US
dc.subjectTool wearen_US
dc.subjectUltra-precision fly cuttingen_US
dc.titleAn in-process tool wear evaluation approach for ultra-precision fly cuttingen_US
dc.typeJournal/Magazine Articleen_US
dc.identifier.spage169en_US
dc.identifier.epage177en_US
dc.identifier.volume86en_US
dc.identifier.issue1-4en_US
dc.identifier.doi10.1007/s00170-015-8132-9en_US
dcterms.abstractUltra-precision fly cutting (UPFC) is an intermittent cutting process, which is widely used in the fabrication of non-rotational symmetric micro structures with sub-micron form accuracy and nanometric surface roughness. In UPFC, the occurrence of tool wear certainly affects the accuracy of machined micro structures. Aimed at the close relations between tool wear and chip morphologies and the truth that cutting chips are fully formed in a cutting cycle, this research developed a tool wear evaluation approach based on cutting chips. Chip morphology features related to tool failure patterns were identified and then parameterized to predict the tool failure patterns, the surface topography, and surface roughness under the effects of tool failure patterns. Predictions were then verified by experimental results. Research results show that chip morphologies were successfully used to present tool failure pattern, following the well-designed identification procedures, the tool failure patterns are accurately identified. This approach is practical since it can in-process identify tool failure patterns and their effects on surface quality.en_US
dcterms.accessRightsopen accessen_US
dcterms.bibliographicCitationInternational journal of advanced manufacturing technology, Sept. 2016, v. 86, no. 1-4, p. 169-177en_US
dcterms.isPartOfInternational journal of advanced manufacturing technologyen_US
dcterms.issued2016-09-
dc.identifier.scopus2-s2.0-84949503277-
dc.identifier.eissn1433-3015en_US
dc.description.validate202402 bcchen_US
dc.description.oaAccepted Manuscripten_US
dc.identifier.FolderNumberISE-0922-
dc.description.fundingSourceOthersen_US
dc.description.fundingTextNational Natural Science Foundation of Chinaen_US
dc.description.pubStatusPublisheden_US
dc.identifier.OPUS6599406-
dc.description.oaCategoryGreen (AAM)en_US
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