Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/16277
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dc.contributor.authorAdetoro, OB-
dc.contributor.authorWen, PH-
dc.contributor.authorSim, WM-
dc.date.accessioned2018-06-06T09:43:55Z-
dc.date.available2010-11-
dc.date.available2018-06-06T09:43:55Z-
dc.date.issued2010-
dc.identifier.citationThe International Journal of Advanced Manufacturing Technology, 2010, 51 (5-8), pp. 453 - 466en_US
dc.identifier.issn0268-3768-
dc.identifier.issnhttp://dx.doi.org/10.1007/s00170-010-2658-7-
dc.identifier.issn1433-3015-
dc.identifier.urihttp://bura.brunel.ac.uk/handle/2438/16277-
dc.description.abstractIn this paper, a new approach to modelling the damping parameters and its application in thin wall machining is presented. The approach to predicting the damping parameters proposed in this paper eliminates the need for experiments otherwise used to acquire these parameters. The damping model proposed was compared with available damping models and experimental results. A finite element analysis and Fourier transform approach has been used to obtain frequency response function (FRF) needed for stability lobes prediction. Several predicted stable regions using both experimental and numerical FRF’s for various examples gave a good comparison.en_US
dc.description.sponsorshipEngineering and Physical Sciences Research Councilen_US
dc.format.extent453 - 466-
dc.language.isoenen_US
dc.publisherSpringer-Verlag London Limiteden_US
dc.subjectStability lobesen_US
dc.subjectTransfer functionen_US
dc.subjectFrequency response functionen_US
dc.subjectHigh speed millingen_US
dc.titleA new damping modelling approach and its application in thin wall machiningen_US
dc.typeArticleen_US
dc.identifier.doihttp://dx.doi.org/10.1007/s00170-010-2658-7-
dc.relation.isPartOfThe International Journal of Advanced Manufacturing Technology-
pubs.issue5-8-
pubs.publication-statusPublished-
pubs.volume51-
dc.identifier.eissn1433-3015-
Appears in Collections:Dept of Mechanical and Aerospace Engineering Research Papers

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