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dc.contributor.authorÁlvarez, Álvaro
dc.contributor.authorCalleja Ochoa, Amaia
dc.contributor.authorArizmendi, Mikel
dc.contributor.authorGonzález Barrio, Haizea ORCID
dc.contributor.authorLópez de Lacalle Marcaide, Luis Norberto
dc.date.accessioned2018-11-15T12:14:22Z
dc.date.available2018-11-15T12:14:22Z
dc.date.issued2018-08
dc.identifier.citationMaterials 11(8) : (2018) // Article ID 1301es_ES
dc.identifier.issn1996-1944
dc.identifier.urihttp://hdl.handle.net/10810/29672
dc.description.abstractThe emergence of multitasking machines in the machine tool sector presents new opportunities for the machining of large size gears and short production series in these machines. However, the possibility of using standard tools in conventional machines for gears machining represents a technological challenge from the point of view of workpiece quality. Machining conditions in order to achieve both dimensional and surface quality requirements need to be determined. With these considerations in mind, computer numerical control (CNC) methods to provide useful tools for gear processing are studied. Thus, a model for the prediction of surface roughness obtained on the teeth surface of a machined spiral bevel gear in a multiprocess machine is presented. Machining strategies and optimal machining parameters were studied, and the roughness model is validated for 3 + 2 axes and 5 continuous axes machining strategies. Palabras clavees_ES
dc.description.sponsorshipThank you to the Department of Education, and to the Universities and Research program of the Basque Government for their financial support, by means of the ZABALDUZ program. We also thank the UFI in Mechanical Engineering department of the UPV/EHU for its support of this project.es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.rights.urihttp://creativecommons.org/licenses/by/3.0/es/*
dc.subjectgear manufacturinges_ES
dc.subjectroughness modeles_ES
dc.subjectmultitasking machines/multiprocess machineses_ES
dc.subjecttooth contact performancees_ES
dc.subjectmachinees_ES
dc.subjectsettingses_ES
dc.subjectdesignes_ES
dc.titleSpiral Bevel Gears Face Roughness Prediction Produced by CNC End Milling Centerses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.rights.holder© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).es_ES
dc.rights.holderAtribución 3.0 España*
dc.relation.publisherversionhttps://www.mdpi.com/1996-1944/11/8/1301es_ES
dc.identifier.doi10.3390/ma11081301
dc.departamentoesIngeniería mecánicaes_ES
dc.departamentoeuIngeniaritza mekanikoaes_ES


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© 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access
article distributed under the terms and conditions of the Creative Commons Attribution
(CC BY) license (http://creativecommons.org/licenses/by/4.0/).
Excepto si se señala otra cosa, la licencia del ítem se describe como © 2018 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/).