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Prediction of Fatigue Time Life from Adapted Juvinall's Method for Forklift Simulator Parts Obtained by 3D Printing

dc.contributor.authorMiwa, Vinícius Hiroshi Souza
dc.contributor.authorDos Santos, Laiane Silva
dc.contributor.authorAcypreste, Yago Levi
dc.contributor.authorCalassa, Felipe
dc.contributor.authorTamayo, Daimer Velázquez
dc.contributor.authorDitrich, Lucas
dc.contributor.authorde Oliveira Acevedo, Ruben Bentes
dc.contributor.authorMartins, Marcelo Sampaio [UNESP]
dc.contributor.institutionUniversidade Estadual Paulista (UNESP)pt
dc.date.accessioned2026-08-25T11:38:57Z
dc.date.issued2025-10-17
dc.description.abstractAdditive manufacturing, particularly 3D printing, has proven to be an efficient solution for low-scale production applications. In this study, components for 65 units of forklift simulators were fabricated using 3D printing technologies, such as Selective Laser Sintering (SLS) and Stereolithography (SLA). The objective of this work is to estimate the service life of these simulator components and determine the required quantity of replacement parts. To achieve this, a fatigue life analysis was implemented using the Juvinall method, adapted for the materials employed in the printing processes. The calculated fatigue life and part quantities were subsequently validated through Finite Element Method (FEM) simulations. The results showed a strong correlation between both approaches, indicating that all components can withstand the programmed operational design life of five years.
dc.description.affiliationUniversidade Federal de Goiás (UFG), São Bernardo do Campo, SP, Brazil
dc.description.affiliationIndependent Research, São Bernardo do Campo, SP, Brazil
dc.description.affiliationInstituto Senai de Inovação em Manufatura Avançada (ISI-MA), São Paulo, SP, Brazil
dc.description.affiliationUniversidade Estadual Paulista (UNESP), Guaratinguetá, SP, Brazil
dc.description.affiliationUnespUniversidade Estadual Paulista (UNESP), Guaratinguetá, SP, Brazil
dc.identifierhttps://app.dimensions.ai/details/publication/pub.1195492728
dc.identifier.dimensionspub.1195492728
dc.identifier.doi10.1109/induscon66435.2025.11241904
dc.identifier.isbn979-8-3315-5837-6
dc.identifier.urihttps://hdl.handle.net/11449/330138
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.rights.accessRightsAcesso restritopt
dc.rights.sourceRightsclosed
dc.sourceDimensions
dc.titlePrediction of Fatigue Time Life from Adapted Juvinall's Method for Forklift Simulator Parts Obtained by 3D Printing
dc.typeArtigopt
dc.typeTrabalho apresentado em eventopt
dspace.entity.typePublication
relation.isOrgUnitOfPublicationa4071986-4355-47c3-a5a3-bd4d1a966e4f
relation.isOrgUnitOfPublication.latestForDiscoverya4071986-4355-47c3-a5a3-bd4d1a966e4f
unesp.campusUniversidade Estadual Paulista (UNESP), Faculdade de Engenharia e Ciências, Guaratinguetápt

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