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Cited 26 time in webofscience Cited 35 time in scopus
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dc.contributor.authorAhn, KG-
dc.contributor.authorCho, DW-
dc.date.accessioned2016-03-31T13:26:34Z-
dc.date.available2016-03-31T13:26:34Z-
dc.date.created2009-03-19-
dc.date.issued2000-12-
dc.identifier.issn0890-6955-
dc.identifier.other2000-OAK-0000001573-
dc.identifier.urihttps://oasis.postech.ac.kr/handle/2014.oak/19835-
dc.description.abstractThis paper addresses the stochastic nature of the volumetric error of a machine tool in 3-dimensional workspace, and proposes a new model helping the prediction of the tolerances of products caused by uncertainties of a machine tool without going through very costly and time-consuming production evaluation. The probability of the volumetric error within the prescribed tolerance in the case of a vertical type 3-axis machine tool is obtained in 3-dimensional graphical form and the beta distribution is adopted to obtain a distribution that can better approximate the real distribution of the sum of the variables. The direction of approach of a tool/workpiece is considered when the stochastic error parts of a machine tool are evaluated. In addition, we verified experimentally that the stochastic parts of the volumetric error are also affected by the direction of approach of a tool/workpiece. (C) 2000 Published by Elsevier Science Ltd.-
dc.description.statementofresponsibilityX-
dc.languageEnglish-
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD-
dc.relation.isPartOfINTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE-
dc.subjectmachine tool accuracy-
dc.subjectvolumetric error-
dc.subjectrandom uncertainty-
dc.subjectdirection of approach-
dc.subjectquality control-
dc.subjectACCURACY-
dc.subjectMETHODOLOGY-
dc.subjectCENTERS-
dc.subjectMODEL-
dc.titleAn analysis of the volumetric error uncertainty of a three-axis machine tool by beta distribution-
dc.typeArticle-
dc.contributor.college기계공학과-
dc.identifier.doi10.1016/S0890-6955(00)00048-1-
dc.author.googleAhn, KG-
dc.author.googleCho, DW-
dc.relation.volume40-
dc.relation.issue15-
dc.relation.startpage2235-
dc.relation.lastpage2248-
dc.contributor.id10102903-
dc.relation.journalINTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE-
dc.relation.indexSCI급, SCOPUS 등재논문-
dc.relation.sciSCI-
dc.collections.nameJournal Papers-
dc.type.rimsART-
dc.identifier.bibliographicCitationINTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE, v.40, no.15, pp.2235 - 2248-
dc.identifier.wosid000089800800006-
dc.date.tcdate2019-01-01-
dc.citation.endPage2248-
dc.citation.number15-
dc.citation.startPage2235-
dc.citation.titleINTERNATIONAL JOURNAL OF MACHINE TOOLS & MANUFACTURE-
dc.citation.volume40-
dc.contributor.affiliatedAuthorCho, DW-
dc.identifier.scopusid2-s2.0-0343789678-
dc.description.journalClass1-
dc.description.journalClass1-
dc.description.wostc18-
dc.type.docTypeArticle-
dc.subject.keywordPlusACCURACY-
dc.subject.keywordPlusMETHODOLOGY-
dc.subject.keywordPlusCENTERS-
dc.subject.keywordPlusMODEL-
dc.subject.keywordAuthormachine tool accuracy-
dc.subject.keywordAuthorvolumetric error-
dc.subject.keywordAuthorrandom uncertainty-
dc.subject.keywordAuthordirection of approach-
dc.subject.keywordAuthorquality control-
dc.relation.journalWebOfScienceCategoryEngineering, Manufacturing-
dc.relation.journalWebOfScienceCategoryEngineering, Mechanical-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.relation.journalResearchAreaEngineering-

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조동우CHO, DONG WOO
Dept of Mechanical Enginrg
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