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Turning of slender workpieces: Modeling and experiments

dc.contributor.authorKatz, R.en_US
dc.contributor.authorLee, C. W.en_US
dc.contributor.authorUlsoy, A. Galipen_US
dc.contributor.authorScott, R. A.en_US
dc.date.accessioned2006-04-07T20:51:01Z
dc.date.available2006-04-07T20:51:01Z
dc.date.issued1989-04en_US
dc.identifier.citationKatz, R., Lee, C. W., Ulsoy, A. G., Scott, R. A. (1989/04)."Turning of slender workpieces: Modeling and experiments." Mechanical Systems and Signal Processing 3(2): 195-205. <http://hdl.handle.net/2027.42/27985>en_US
dc.identifier.urihttp://www.sciencedirect.com/science/article/B6WN1-4933JFX-T/2/2870423a19b233f21f8194c974fc3bafen_US
dc.identifier.urihttps://hdl.handle.net/2027.42/27985
dc.description.abstractThis paper introduces a dynamic cutting force model for turning of slender workpieces, as well as experimental results related to the frequency response of the workpiece in turning. The model is based on a flexible workpiece and rigid machine tool, and a workpiece displacement dependent cutting force. The model is described and studied theoretically as well as experimentally. The experimental studies utilise both cutting force and workpiece vibration measurements in two orthogonal directions. This data is obtained for both cutting and non-cutting conditions, and analysed in the frequency domain. The model was found to be in partial agreement with the experimental results. The experimental procedure described here represents a new method for determining the cutting process damping ratio, based on differences in the measured workpiece natural frequencies with and without cutting.en_US
dc.format.extent545435 bytes
dc.format.extent3118 bytes
dc.format.mimetypeapplication/pdf
dc.format.mimetypetext/plain
dc.language.isoen_US
dc.publisherElsevieren_US
dc.titleTurning of slender workpieces: Modeling and experimentsen_US
dc.typeArticleen_US
dc.rights.robotsIndexNoFollowen_US
dc.subject.hlbsecondlevelCivil and Environmental Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.contributor.affiliationumDepartment of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.contributor.affiliationumDepartment of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.contributor.affiliationumDepartment of Mechanical Engineering and Applied Mechanics, The University of Michigan, Ann Arbor, Michigan 48109, U.S.A.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/27985/1/0000418.pdfen_US
dc.identifier.doihttp://dx.doi.org/10.1016/0888-3270(89)90016-2en_US
dc.identifier.sourceMechanical Systems and Signal Processingen_US
dc.owningcollnameInterdisciplinary and Peer-Reviewed


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