Please use this identifier to cite or link to this item: https://hdl.handle.net/11000/31158
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dc.contributor.authorCampello Vicente, Héctor-
dc.contributor.authorCampillo Davo, Nuria-
dc.contributor.authorPeral Orts, Ramón-
dc.contributor.authorFabra Rodríguez, Miguel-
dc.contributor.otherDepartamentos de la UMH::Ingeniería Mecánica y Energíaes_ES
dc.date.accessioned2024-02-06T12:24:41Z-
dc.date.available2024-02-06T12:24:41Z-
dc.date.created2021-
dc.identifier.citationApplied Acoustics Volume 184, 15 December 2021es_ES
dc.identifier.issn1872-910X-
dc.identifier.issn0003-682X-
dc.identifier.urihttps://hdl.handle.net/11000/31158-
dc.description.abstractHybrid-electric and electric vehicles significantly reduce noise road emissions. This noise mitigation also causes a reduction in the sound detectability and therefore it increases the potential of causing accidents. A suitable solution arises with the Acoustic Vehicle Alerting Systems (AVAS) emitting a warning sound to alert pedestrians about the presence of a silent vehicle. This paper details an acoustic prediction model capable of simulating the sound produced by a pair of spur dry gears used as a Mechanical Acoustic Vehicle Alerting System (MAVAS). This proposal that tries to reproduce a sound closer to the mechanical sound of a conventional vehicle would be used as an alternative to existing systems. The prediction model developed is validated and consists in two consecutive parts: first, a dynamic model studies the rattle of the gears, then, an analytical model reproduces the sound of each impact of the gear teeth. This sound model makes it possible to characterize a proposed gear combination of the MAVAS, verifying its compliance with the European legislation.es_ES
dc.formatapplication/pdfes_ES
dc.format.extent9es_ES
dc.language.isoenges_ES
dc.publisherElsevieres_ES
dc.rightsinfo:eu-repo/semantics/closedAccesses_ES
dc.rightsAttribution-NonCommercial-NoDerivatives 4.0 Internacional*
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/4.0/*
dc.subjectWarning soundes_ES
dc.subjectElectric vehiclees_ES
dc.subjectAlerting Systemes_ES
dc.subjectModeles_ES
dc.subjectMechanic noisees_ES
dc.subjectGeares_ES
dc.subject.otherCDU::6 - Ciencias aplicadas::62 - Ingeniería. Tecnología::621 - Ingeniería mecánica en general. Tecnología nuclear. Electrotecnia. Maquinariaes_ES
dc.titleGear sound model for an approach of a Mechanical Acoustic Vehicle Alerting System (MAVAS) to increase EV’s detectabilityes_ES
dc.typeinfo:eu-repo/semantics/articlees_ES
dc.relation.publisherversionhttps://doi.org/10.1016/j.apacoust.2021.108345es_ES
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Artículos Ingeniería Mecánica y Energía


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