Please use this identifier to cite or link to this item: http://repositorio.unicamp.br/jspui/handle/REPOSIP/341868
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dc.contributor.CRUESPUNIVERSIDADE ESTADUAL DE CAMPINASpt_BR
dc.identifier.isbn978-3-319-99271-6; 978-3-319-99272-3pt_BR
dc.contributor.authorunicampCastro, Hélio Fiori de-
dc.typeOutro documentopt_BR
dc.titleStochastic modeling of rotordynamics for electrical fuel pump applicationpt_BR
dc.contributor.authorFerreira, A.M.-
dc.contributor.authorde Castro, H.F.-
dc.subjectMonte Carlo, Método dept_BR
dc.subject.otherlanguageMonte Carlo methodpt_BR
dc.description.abstractElectrical fuel pumps play a key role in the automotive area, having the function to delivery fuel at proper pressure and flow rate to the injectors of internal combustion engines. In-tank centrifugal type of fuel pump, located submerged in the fuel tank, is currently the most widely used in the market. There is an increasing demand to control and minimize vibration levels experienced by fuel pump under operation that must comply with the requirements. Evaluation of the 8th harmonic order is critically important once its represents the vibration caused by the sliding contact among spring loaded carbon brushes and segments of commutator of electrical machine. In the present paper, a stochastic model in rotordynamics is developed considering uncertainties in the parameters that influence the dynamic responses of fuel pump system. The uncertainty analysis is conducted by applying Monte Carlo simulation method combined with the Latin Hypercube sampling. The obtained results show that the presented stochastic model is able to ascertain design parameters of fuel pumps reasonably.pt_BR
dc.relation.ispartofMechanisms and machine sciencept_BR
dc.publisher.cityDordrechtpt_BR
dc.publisher.countryHolandapt_BR
dc.publisherSpringerpt_BR
dc.date.issued2018-
dc.date.monthofcirculationAug.pt_BR
dc.language.isoengpt_BR
dc.description.volume63pt_BR
dc.description.firstpage431pt_BR
dc.description.lastpage442pt_BR
dc.rightsFechadopt_BR
dc.sourceScopuspt_BR
dc.identifier.issn2211-0984pt_BR
dc.identifier.eissn2211-0992pt_BR
dc.identifier.doi10.1007/978-3-319-99272-3_30pt_BR
dc.identifier.urlhttps://link.springer.com/chapter/10.1007/978-3-319-99272-3_30pt_BR
dc.description.sponsorshipFUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULO - FAPESPpt_BR
dc.description.sponsordocumentnumber2015/20363-6pt_BR
dc.date.available2020-05-21T12:31:12Z-
dc.date.accessioned2020-05-21T12:31:12Z-
dc.description.provenanceSubmitted by Bruna Maria Campos da Cunha (bcampos@unicamp.br) on 2020-05-21T12:31:12Z No. of bitstreams: 0. Added 1 bitstream(s) on 2020-08-27T19:17:45Z : No. of bitstreams: 1 2-s2.0-85052235537.pdf: 1923226 bytes, checksum: 3e10a8b56bb125bd3cfc62c05ceb5d3b (MD5)en
dc.description.provenanceMade available in DSpace on 2020-05-21T12:31:12Z (GMT). No. of bitstreams: 0 Previous issue date: 2018en
dc.identifier.urihttp://repositorio.unicamp.br/jspui/handle/REPOSIP/341868-
dc.description.conferencenome10. International Conference on Rotor Dynamicspt_BR
dc.contributor.departmentDepartamento de Projeto Mecânicopt_BR
dc.contributor.unidadeFaculdade de Engenharia Mecânicapt_BR
dc.subject.keywordAutomobile fuel tankspt_BR
dc.subject.keywordFuel pumpspt_BR
dc.subject.keywordFuelspt_BR
dc.subject.keywordIntelligent systemspt_BR
dc.subject.keywordInternal combustion enginespt_BR
dc.subject.keywordStochastic control systemspt_BR
dc.subject.keywordStochastic systemspt_BR
dc.subject.keywordUncertainty analysispt_BR
dc.subject.keywordDesign parameterspt_BR
dc.subject.keywordElectrical machinept_BR
dc.subject.keywordHarmonic orderspt_BR
dc.subject.keywordLatin hypercube samplingpt_BR
dc.subject.keywordSliding contactspt_BR
dc.subject.keywordUncertaintypt_BR
dc.subject.keywordVibration levelpt_BR
dc.subject.keywordStochastic modelspt_BR
dc.identifier.source2-s2.0-85052235537pt_BR
dc.creator.orcidSem informaçãopt_BR
dc.type.formCapítulo de livropt_BR
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