dc.rights.license | Attribution-NonCommercial-NoDerivatives 4.0 International | * |
dc.contributor.author | Etxebeste , Mikel | |
dc.contributor.author | Ortiz-de-Zarate, Gorka | |
dc.contributor.author | ARRIETA, Iñaki Mirena | |
dc.contributor.author | ARRAZOLA, PEDRO JOSE | |
dc.date.accessioned | 2025-04-30T09:58:53Z | |
dc.date.available | 2025-04-30T09:58:53Z | |
dc.date.issued | 2025 | |
dc.identifier.issn | 2212-8271 | en |
dc.identifier.other | https://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=186247 | en |
dc.identifier.uri | https://hdl.handle.net/20.500.11984/6984 | |
dc.description.abstract | Long milling tools are often limited in productivity due to chatter vibrations. Embedded Tuned Mass Dampers (TMDs) in these tools have proven to be an effective solution for reducing chatter and increasing productivity. The performance of TMDs is highly dependent on the correct dimensioning and selection of the most suitable damping materials, which cannot be determined through trial and error, making modeling essential. This study presents a new TMD design for milling tools, optimized through Finite Element Method (FEM) modeling. The FEM analysis allows for maximizing damping efficiency through the precise selection of optimal dimensional parameters tailored to the specific tool geometry. A prototype of the optimized TMD tool was manufactured and experimentally tested, validating the FEM model through tap testing and showing significantly improved performance in machining tests, with reduced chatter compared to the original undamped tool. | en |
dc.language.iso | eng | en |
dc.publisher | Elsevier | en |
dc.rights | © 2025 The Authors | en |
dc.rights.uri | http://creativecommons.org/licenses/by-nc-nd/4.0/ | * |
dc.subject | Milling process | en |
dc.subject | Finite element method (FEM) | en |
dc.subject | Chatter | en |
dc.subject | Tuned Mass Damper | en |
dc.subject | Modeling | en |
dc.subject | Damping | en |
dc.title | Finite Element Modeling to Design Optimized TMD for Milling Tools | en |
dcterms.accessRights | http://purl.org/coar/access_right/c_abf2 | en |
dcterms.source | CIRP Conference on Modeling of Machining Operations (CMMO) | en |
local.contributor.group | Mecanizado de alto rendimiento | es |
local.description.peerreviewed | true | en |
local.description.publicationfirstpage | 448 | en |
local.description.publicationlastpage | 453 | en |
local.identifier.doi | https://doi.org/10.1016/j.procir.2025.02.077 | en |
local.source.details | 20. Mons, 22-23 May 2025 | en |
oaire.format.mimetype | application/pdf | en |
oaire.file | $DSPACE\assetstore | en |
oaire.resourceType | http://purl.org/coar/resource_type/c_c94f | en |
oaire.version | http://purl.org/coar/version/c_ab4af688f83e57aa | en |
oaire.funderName | Gobierno Vasco | en |
oaire.funderName | Gobierno Vasco | en |
oaire.funderName | Gobierno Vasco | en |
oaire.funderName | Gobierno Vasco | en |
oaire.funderName | Gobierno de España | en |
oaire.funderIdentifier | https://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086 | en |
oaire.funderIdentifier | https://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086 | en |
oaire.funderIdentifier | https://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086 | |
oaire.funderIdentifier | https://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086 | |
oaire.funderIdentifier | https://ror.org/038jjxj40 / http://data.crossref.org/fundingdata/funder/10.13039/501100010198 | |
oaire.fundingStream | Elkartek 2024 | en |
oaire.fundingStream | Programa de apoyo a la I+D Empresarial Hazitek 2022 | en |
oaire.fundingStream | Sin información | en |
oaire.fundingStream | Ikasiker 2022-2023 | en |
oaire.fundingStream | Proyectos de Generación de Conocimiento y a actuaciones para la formación de personal investigador predoctoral | en |
oaire.awardNumber | KK-2024-00005 | en |
oaire.awardNumber | ZL-2022-00741 | en |
oaire.awardNumber | PRE_2023_1_0134 | en |
oaire.awardNumber | IT1443-22 | en |
oaire.awardNumber | PID2022-139655OB-I00 | en |
oaire.awardTitle | Nueva generación de procesos para la (re)fabricación sostenible (ORLEGI) | en |
oaire.awardTitle | (EVMACH) | en |
oaire.awardTitle | Sin información | en |
oaire.awardTitle | Grupo de Mecanizado de Alto Rendimiento | en |
oaire.awardTitle | Diseño a medida de la integridad superficial de los componentes mecanizados para mejorar su durabilidad en aplicaciones de salud y Aeronáuticas (TAILORSURF) | en |
oaire.awardURI | Sin información | en |
oaire.awardURI | Sin información | en |
oaire.awardURI | Sin información | en |
oaire.awardURI | Sin información | en |
oaire.awardURI | Sin información | en |