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Improving machining accuracy in precision line boring

dc.contributor.authorMehrabi, M. G.en_US
dc.contributor.authorO'Neal, G.en_US
dc.contributor.authorMin, Byung-Kwonen_US
dc.contributor.authorPasek, Zbigniew J.en_US
dc.contributor.authorKoren, Yoramen_US
dc.contributor.authorSzuba, P.en_US
dc.date.accessioned2006-09-11T17:55:51Z
dc.date.available2006-09-11T17:55:51Z
dc.date.issued2002-10en_US
dc.identifier.citationMehrabi, M. G.; O'Neal, G.; Min, B.-K.; Pasek, Z.; Koren, Y.; Szuba, P.; (2002). "Improving machining accuracy in precision line boring." Journal of Intelligent Manufacturing 13(5): 379-389. <http://hdl.handle.net/2027.42/46560>en_US
dc.identifier.issn0956-5515en_US
dc.identifier.issn1572-8145en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/46560
dc.description.abstractThere is an ever-growing demand for high precision machining to obtain increased accuracy and surface finish, as they are key factors in product quality and performance. Machining operations, in general, are associated with errors of varying magnitude originating from different sources. As a result, the sizes of the machined features usually deviate from their desired, nominal values. Identification of error sources, techniques of measurements (on/off line), and efficient strategies for their compensation are the steps required to minimize, and, in some cases eliminate process errors. This paper focuses on modeling and compensation of geometric errors in machining operations specific to the line boring process. It is part of an undergoing research project focused on design and development of an agile precision line boring station for machining of long bores. After a brief overview of sources of geometric errors and their components, a methodology for their calculation is introduced. In this regard, error equations reflecting the effects of machine tool geometric errors at the tool tip are derived. It is shown that these equations can be further simplified without significantly affecting computational accuracy of the results. This makes the approach more attractive for real-time applications. A set of experimental data obtained from a prototype of the machine is used to study the effectiveness of the proposed approach and the results are reported. The paper concludes with discussions and presentation of different methods and available tools for real time compensation of these errors.en_US
dc.format.extent1246715 bytes
dc.format.extent3115 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherKluwer Academic Publishers; Springer Science+Business Mediaen_US
dc.subject.otherEconomics / Management Scienceen_US
dc.subject.otherManufacturing, Machines, Toolsen_US
dc.subject.otherAutomation and Roboticsen_US
dc.subject.otherProduction/Logisticsen_US
dc.subject.otherMachining Errorsen_US
dc.subject.otherCNC Machinesen_US
dc.subject.otherMachining Processesen_US
dc.subject.otherPrecision Machiningen_US
dc.subject.otherGeometric Errorsen_US
dc.subject.otherError Compensationen_US
dc.titleImproving machining accuracy in precision line boringen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelEconomicsen_US
dc.subject.hlbtoplevelBusinessen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, The University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, The University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, The University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, The University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationumDepartment of Mechanical Engineering, The University of Michigan, Ann Arbor, MI, USAen_US
dc.contributor.affiliationotherLamb Technicon, Warren, MI, USAen_US
dc.contributor.affiliationumcampusAnn Arboren_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/46560/1/10845_2004_Article_5093382.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1023/A:1019988710701en_US
dc.identifier.sourceJournal of Intelligent Manufacturingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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