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dc.contributor.authorRatchev, Svetanen_GB
dc.contributor.authorLiu, Shulongen_GB
dc.contributor.authorHuang, Weien_GB
dc.contributor.authorBecker, Adib A.en_GB
dc.date.accessioned2013-03-26T12:47:56Z
dc.date.available2013-03-26T12:47:56Z
dc.date.issued2004
dc.identifier.citationRatchev, S., Liu, S., Huang, W. and Becker, A.A., (2004) 'Milling error prediction and compensation in machining of low-rigidity parts' International Journal of Machine Tools and Manufacture 44 (15):1629-1641en_GB
dc.identifier.issn0890-6955
dc.identifier.doi10.1016/j.ijmachtools.2004.06.001
dc.identifier.urihttp://hdl.handle.net/10547/276015
dc.description.abstractThe paper reports on a new integrated methodology for modelling and prediction of surface errors caused by deflection during machining of low-rigidity components. The proposed approach is based on identifying and modelling key processing characteristics that influence part deflection, predicting the workpiece deflection through an adaptive flexible theoretical force-FEA deflection model and providing an input for downstream decision making on error compensation. A new analytical flexible force model suitable for static machining error prediction of low-rigidity components is proposed. The model is based on an extended perfect plastic layer model integrated with a FE model for prediction of part deflection. At each computational step, the flexible force is calculated by taking into account the changes of the immersion angles of the engaged teeth. The material removal process at any infinitesimal segment of the milling cutter teeth is considered as oblique cutting, for which the cutting force is calculated using an orthogonal–oblique transformation. This study aims to increase the understanding of the causes of poor geometric accuracy by considering the impact of the machining forces on the deflection of thin-wall structures. The reported work is a part of an ongoing research for developing an adaptive machining planning environment for surface error modelling and prediction and selection of process and tool path parameters for rapid machining of complex low-rigidity high-accuracy parts.
dc.language.isoenen
dc.publisherElsevieren_GB
dc.relation.urlhttp://linkinghub.elsevier.com/retrieve/pii/S0890695504001439en_GB
dc.subjectmilling forceen_GB
dc.subjectdeflection predictionen_GB
dc.subjecterror compensationen_GB
dc.titleMilling error prediction and compensation in machining of low-rigidity partsen
dc.typeArticleen
dc.contributor.departmentUniversity of Nottinghamen_GB
dc.identifier.journalInternational Journal of Machine Tools and Manufactureen_GB
html.description.abstractThe paper reports on a new integrated methodology for modelling and prediction of surface errors caused by deflection during machining of low-rigidity components. The proposed approach is based on identifying and modelling key processing characteristics that influence part deflection, predicting the workpiece deflection through an adaptive flexible theoretical force-FEA deflection model and providing an input for downstream decision making on error compensation. A new analytical flexible force model suitable for static machining error prediction of low-rigidity components is proposed. The model is based on an extended perfect plastic layer model integrated with a FE model for prediction of part deflection. At each computational step, the flexible force is calculated by taking into account the changes of the immersion angles of the engaged teeth. The material removal process at any infinitesimal segment of the milling cutter teeth is considered as oblique cutting, for which the cutting force is calculated using an orthogonal–oblique transformation. This study aims to increase the understanding of the causes of poor geometric accuracy by considering the impact of the machining forces on the deflection of thin-wall structures. The reported work is a part of an ongoing research for developing an adaptive machining planning environment for surface error modelling and prediction and selection of process and tool path parameters for rapid machining of complex low-rigidity high-accuracy parts.


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