Modelling and analysis of tool deflections in tailored micro end mills

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buir.contributor.authorKarpat, Yiğit
dc.citation.epage37en_US
dc.citation.issueNumber1en_US
dc.citation.spage20en_US
dc.citation.volumeNumber12en_US
dc.contributor.authorOliaei, S. N. B.en_US
dc.contributor.authorKarpat, Yiğiten_US
dc.date.accessioned2020-02-18T11:49:49Z
dc.date.available2020-02-18T11:49:49Z
dc.date.issued2019
dc.departmentDepartment of Industrial Engineeringen_US
dc.departmentDepartment of Mechanical Engineeringen_US
dc.description.abstractThe deflection of micro end mills has a detrimental effect on surface quality of the machined micro components and adversely affects the achievable dimensional and geometrical tolerances. In this paper, the analysis and modelling of tool deflections of tailored micro end mills have been considered. The tool deflections are obtained using analytical models as well as finite element simulations and verified using a dedicated measurement setup, which uses a capacitive sensor with a nanometre resolution for static tool deflection measurements. The optimisation of the micro end mill geometry has been performed to determine optimum neck taper angle and transition radius of the single edge micro end mill to have minimum tool deflections. With the developed model, tool failure predictions for a given process parameter set can be performed and it can be used for better micro milling process planning.en_US
dc.identifier.doi10.1504/IJMMS.2019.097843en_US
dc.identifier.issn1753-1039
dc.identifier.urihttp://hdl.handle.net/11693/53409
dc.language.isoEnglishen_US
dc.publisherInderscience Enterprisesen_US
dc.relation.isversionofhttps://dx.doi.org/10.1504/IJMMS.2019.097843en_US
dc.source.titleInternational Journal of Mechatronics and Manufacturing Systemsen_US
dc.subjectMicromillingen_US
dc.subjectOptimisationen_US
dc.subjectTailored micro end millen_US
dc.subjectTool deflectionen_US
dc.subjectTool failureen_US
dc.titleModelling and analysis of tool deflections in tailored micro end millsen_US
dc.typeArticleen_US

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