dc.contributor.author | Iglesias, Alexander | |
dc.contributor.author | Tunç, L.Taner | |
dc.contributor.author | Özsahin, Orkun | |
dc.contributor.author | Franco, Oier | |
dc.contributor.author | Muñoa, Jokin | |
dc.contributor.author | Budak, Erhan | |
dc.date.accessioned | 2022-09-08T11:43:41Z | |
dc.date.available | 2022-09-08T11:43:41Z | |
dc.date.issued | 2022-05-01 | |
dc.identifier.citation | Mechanical Systems and Signal Processing 170 : (2022) // Article ID 108837 | es_ES |
dc.identifier.issn | 0888-3270 | |
dc.identifier.issn | 1096-1216 | |
dc.identifier.uri | http://hdl.handle.net/10810/57663 | |
dc.description.abstract | An 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.sponsorship | The 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.iso | eng | es_ES |
dc.publisher | Elsevier | es_ES |
dc.relation | info:eu-repo/grantAgreement/EC/H2020/958357 | es_ES |
dc.rights | info:eu-repo/semantics/openAccess | es_ES |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/3.0/es/ | * |
dc.subject | dynamic characterization | es_ES |
dc.subject | machine tool dynamics | es_ES |
dc.subject | FRF identification | es_ES |
dc.subject | position-dependent dynamics | es_ES |
dc.subject | random cutting excitation | es_ES |
dc.subject | face milling operations | es_ES |
dc.subject | chatter stability | es_ES |
dc.subject | modal-analysis | es_ES |
dc.subject | drive control | es_ES |
dc.subject | force measurement | es_ES |
dc.subject | damping system | es_ES |
dc.subject | prediction | es_ES |
dc.subject | spindle | es_ES |
dc.title | Alternative experimental methods for machine tool dynamics identification: A review | es_ES |
dc.type | info:eu-repo/semantics/article | es_ES |
dc.rights.holder | © 2022 The Authors. Published by Elsevier Ltd. This is an open access article under the CC BY-NC-ND license | es_ES |
dc.rights.holder | Atribución-NoComercial-SinDerivadas 3.0 España | * |
dc.relation.publisherversion | https://www.sciencedirect.com/science/article/pii/S0888327022000346?via%3Dihub | es_ES |
dc.identifier.doi | 10.1016/j.ymssp.2022.108837 | |
dc.contributor.funder | European Commission | |
dc.departamentoes | Ingeniería mecánica | es_ES |
dc.departamentoeu | Ingeniaritza mekanikoa | es_ES |