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dc.contributor.authorVeiga Suárez, Fernando
dc.contributor.authorGil Del Val, Alain
dc.contributor.authorPenalva Oscoz, Mariluz
dc.contributor.authorPereira Neto, Octavio Manuel
dc.contributor.authorSuárez González, Alfredo
dc.contributor.authorLópez de Lacalle Marcaide, Luis Norberto
dc.date.accessioned2021-08-03T09:11:59Z
dc.date.available2021-08-03T09:11:59Z
dc.date.issued2021-06-24
dc.identifier.citationMetals 11(7) : (2021) // Article ID 1009es_ES
dc.identifier.issn2075-4701
dc.identifier.urihttp://hdl.handle.net/10810/52642
dc.description.abstractA low-frequency-assisted boring operation is a key cutting process in the aircraft manufacturing sector when drilling deep holes to avoid chip clogging based on chip breakage and, consequently, to reduce the temperature level in the cutting process. This paper proposes a predicted force model based on a commercial control-supported chip breaking function without external vibration devices in the boring operations. The model was fitted by conventional boring measurements and was validated by vibration boring experiments with different ranges of amplitude and frequency. The average prediction error is around 10%. The use of a commercial function makes the model more attractive for the industry because there is no need for intrusive vibration sensors. The low-frequency-assisted boring (LFAB) operations foster the chip breakage. Finally, the model is generic and can be used for different cutting materials and conditions. Roughness is improved by 33% when vibration conditions are optimal, considered as a vibration amplitude of half the feed per tooth. This paper presents, as a novelty, the analysis of low-frequency vibration parameters in boring processes and their effect on chip formation and internal hole roughness. This has a practical significance for the definition of a methodology based on the torque model for the selection of conditions on other hole-making processes, cutting parameters and/or materials.es_ES
dc.description.sponsorshipThis research was funded by the European Union’s Horizon 2020 research and innovation program under grant agreement no. 723698 (ForZDM).es_ES
dc.language.isoenges_ES
dc.publisherMDPIes_ES
dc.relationinfo:eu-repo/grantAgreement/EC/H2020/723698es_ES
dc.rightsinfo:eu-repo/semantics/openAccesses_ES
dc.subjectchip segmentationes_ES
dc.subjectST52 cast steeles_ES
dc.subjecttorque analysises_ES
dc.subjectroughnesses_ES
dc.subjectmachining of low-frequency processeses_ES
dc.titlePredicted Torque Model in Low-Frequency-Assisted Boring (LFAB) Operationses_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.date.updated2021-07-23T13:27:53Z
dc.rights.holder2021 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 (https://creativecommons.org/licenses/by/4.0/).es_ES
dc.relation.publisherversionhttps://www.mdpi.com/2075-4701/11/7/1009/htmes_ES
dc.identifier.doi10.3390/met11071009
dc.contributor.funderEuropean Commission
dc.departamentoesIngeniería mecánica
dc.departamentoeuIngeniaritza mekanikoa


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