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dc.contributor.authorSangalli, Luca
dc.contributor.authorOyanguren , Aitor
dc.contributor.authorLarrañaga Amilibia, Jon
dc.contributor.authorIzquierdo Ortiz de Landaluce, Mikel
dc.contributor.authorUlacia, Ibai
dc.date.accessioned2025-09-01T15:44:57Z
dc.date.available2025-09-01T15:44:57Z
dc.date.issued2024
dc.identifier.issn1873-3999en
dc.identifier.otherhttps://katalogoa.mondragon.edu/janium-bin/janium_login_opac.pl?find&ficha_no=178216en
dc.identifier.urihttps://hdl.handle.net/20.500.11984/13930
dc.description.abstractLoad distribution in ball screws is characterized by non-uniformity, leading to imbalances in the contact load of the balls along the nut. This non-uniformity negatively impacts the stiffness, accuracy and service life of the ball screw. This work proposes a solution to reduce the ball screw load distribution non-uniformity through an optimization model and two implementation methods: the variable pitch method and the ball offset method. Both methods involve applying an initial preload in certain areas of the nut to compensate for load imbalance. A case study tests both methods and evaluates the implications of implementing the optimization model. Results confirm the model’s ability to reduce the load distribution non-uniformity, with a ratio improvements up to 61%. Additionally, this optimization enhances stiffness by up to 78% and extends service life by up to 17 times. The study also identifies the model’s limits and possible adverse effects, concluding that the specific case conditions must be considered in the optimization process.en
dc.language.isoengen
dc.publisherElsevieren
dc.rights© 2024 Elsevieren
dc.subjectBall screwen
dc.subjectLoad distributionen
dc.subjectFinite element method (FEM)en
dc.titleNumerical study on the effectiveness of the optimization of the load distribution in ball screw actuatorsen
dcterms.accessRightshttp://purl.org/coar/access_right/c_14cben
dcterms.sourceMechanism and Machine Theoryen
local.contributor.groupDiseño y mecánica estructurales
local.description.peerreviewedtrueen
local.identifier.doihttps://doi.org/10.1016/j.mechmachtheory.2024.105781en
local.contributor.otherinstitutionhttps://ror.org/00wvqgd19es
local.source.detailsVol. 203. N. art. 105781. November, 2024en
oaire.file$DSPACE\assetstoreen
oaire.resourceTypehttp://purl.org/coar/resource_type/c_6501en
dc.unesco.tesaurohttp://vocabularies.unesco.org/thesaurus/concept6156en
oaire.funderNameGobierno Vascoen
oaire.funderNameGobierno Vascoen
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086en
oaire.funderIdentifierhttps://ror.org/00pz2fp31 / http://data.crossref.org/fundingdata/funder/10.13039/501100003086
oaire.fundingStreamPrograma de apoyo a la I+D Empresarial Hazitek 2022en
oaire.fundingStreamPrograma de apoyo a la I+D Empresarial Hazitek 2023en
oaire.awardNumberZL-2022-00996en
oaire.awardNumberZL-2023-00617en
oaire.awardTitleNuevo husillo a bolas con precarga variable controlada para máquinas herramienta inteligentes de fabricación avanzada (PREVARHU)en
oaire.awardTitleNuevo husillo a bolas con precarga variable controlada para máquinas herramienta inteligentes de fabricación avanzada (PREVARHU)en
oaire.awardURISin informaciónen
oaire.awardURISin informaciónen
dc.unesco.clasificacionhttp://skos.um.es/unesco6/330532en


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Registro sencillo