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dc.contributor.authorIglesias, Alexander
dc.contributor.authorTunç, L.Taner
dc.contributor.authorÖzsahin, Orkun
dc.contributor.authorFranco, Oier
dc.contributor.authorMuñoa, Jokin
dc.contributor.authorBudak, Erhan
dc.date.accessioned2022-09-08T11:43:41Z
dc.date.available2022-09-08T11:43:41Z
dc.date.issued2022-05-01
dc.identifier.citationMechanical Systems and Signal Processing 170 : (2022) // Article ID 108837es_ES
dc.identifier.issn0888-3270
dc.identifier.issn1096-1216
dc.identifier.urihttp://hdl.handle.net/10810/57663
dc.description.abstractAn accurate machine dynamic characterization is essential to properly describe the dynamic response of the machine or predict its cutting stability. However, it has been demonstrated that current conventional dynamic characterization methods are often not reliable enough to be used as valuable input data. For this reason, alternative experimental methods to conventional dynamic characterization methods have been developed to increase the quality of the obtained data. These methods consider additional effects which influence the dynamic behavior of the machine and cannot be captured by standard methods. In this work, a review of the different machine tool dynamic identification methods is done, remarking the advantages and drawbacks of each method.es_ES
dc.description.sponsorshipThe present work has been partially supported by the EU Horizon 2020 InterQ project (958357/H2020-EU.2.1.5.1.) and the CDTI CERVERA programme MIRAGED project (EXP-00,137,312/CER-20191001) .es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/958357es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/*
dc.subjectdynamic characterizationes_ES
dc.subjectmachine tool dynamicses_ES
dc.subjectFRF identificationes_ES
dc.subjectposition-dependent dynamicses_ES
dc.subjectrandom cutting excitationes_ES
dc.subjectface milling operationses_ES
dc.subjectchatter stabilityes_ES
dc.subjectmodal-analysises_ES
dc.subjectdrive controles_ES
dc.subjectforce measurementes_ES
dc.subjectdamping systemes_ES
dc.subjectpredictiones_ES
dc.subjectspindlees_ES
dc.titleAlternative experimental methods for machine tool dynamics identification: A reviewes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND licensees_ES
dc.rights.holderAtribución-NoComercial-SinDerivadas 3.0 España*
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S0888327022000346?via%3Dihubes_ES
dc.identifier.doi10.1016/j.ymssp.2022.108837
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería mecánicaes_ES
dc.departamentoeuIngeniaritza mekanikoaes_ES


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© 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license
Except where otherwise noted, this item's license is described as © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license