Uncertainty analysis of a flexible rotor supported by fluid film bearings

Detalhes bibliográficos
Autor(a) principal: Cavalini Jr.,Aldemir Ap
Data de Publicação: 2015
Outros Autores: Lara-Molina,Fabian Andres, Sales,Thiago de Paula, Koroishi,Edson Hideki, Steffen Jr.,Valder
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Latin American journal of solids and structures (Online)
Texto Completo: http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252015000801487
Resumo: AbstractThis paper is dedicated to the analyses of the effect of uncertain parameters on the dynamic behavior of a flexible rotor containing two rigid discs and supported by two fluid film bearings. A stochastic method has been extensively used to model uncertain parameters, i.e., the so-called Monte Carlo simulation. However, in the present contribution, the inherent uncertainties of the bearings' parameters (i.e. the oil viscosity as a function of the oil temperature, and the radial clearance) are modeled by using a fuzzy dynamic analysis. This alternative methodology seems to be more appropriated when the stochastic process that models the uncertainties is unknown. The analysis procedure is confined to the time domain, being generated by the envelopes of the rotor orbits and the unbalance responses obtained from a run-down operating condition. The hydrodynamic supporting forces are determined by considering a nonlinear model, which is based on the solution of the dimensionless Reynolds' equation for cylindrical and short journal bearings. This numerical study illustrates the versatility and convenience of the mentioned fuzzy approach for uncertainty analysis. The results from the stochastic analysis are also presented for comparison purposes.
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spelling Uncertainty analysis of a flexible rotor supported by fluid film bearingsRotating machineuncertainty analysisfluid film bearingsfuzzy analysisAbstractThis paper is dedicated to the analyses of the effect of uncertain parameters on the dynamic behavior of a flexible rotor containing two rigid discs and supported by two fluid film bearings. A stochastic method has been extensively used to model uncertain parameters, i.e., the so-called Monte Carlo simulation. However, in the present contribution, the inherent uncertainties of the bearings' parameters (i.e. the oil viscosity as a function of the oil temperature, and the radial clearance) are modeled by using a fuzzy dynamic analysis. This alternative methodology seems to be more appropriated when the stochastic process that models the uncertainties is unknown. The analysis procedure is confined to the time domain, being generated by the envelopes of the rotor orbits and the unbalance responses obtained from a run-down operating condition. The hydrodynamic supporting forces are determined by considering a nonlinear model, which is based on the solution of the dimensionless Reynolds' equation for cylindrical and short journal bearings. This numerical study illustrates the versatility and convenience of the mentioned fuzzy approach for uncertainty analysis. The results from the stochastic analysis are also presented for comparison purposes.Associação Brasileira de Ciências Mecânicas2015-08-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252015000801487Latin American Journal of Solids and Structures v.12 n.8 2015reponame:Latin American journal of solids and structures (Online)instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)instacron:ABCM10.1590/1679-78251582info:eu-repo/semantics/openAccessCavalini Jr.,Aldemir ApLara-Molina,Fabian AndresSales,Thiago de PaulaKoroishi,Edson HidekiSteffen Jr.,Valdereng2015-11-11T00:00:00Zoai:scielo:S1679-78252015000801487Revistahttp://www.scielo.br/scielo.php?script=sci_serial&pid=1679-7825&lng=pt&nrm=isohttps://old.scielo.br/oai/scielo-oai.phpabcm@abcm.org.br||maralves@usp.br1679-78251679-7817opendoar:2015-11-11T00:00Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)false
dc.title.none.fl_str_mv Uncertainty analysis of a flexible rotor supported by fluid film bearings
title Uncertainty analysis of a flexible rotor supported by fluid film bearings
spellingShingle Uncertainty analysis of a flexible rotor supported by fluid film bearings
Cavalini Jr.,Aldemir Ap
Rotating machine
uncertainty analysis
fluid film bearings
fuzzy analysis
title_short Uncertainty analysis of a flexible rotor supported by fluid film bearings
title_full Uncertainty analysis of a flexible rotor supported by fluid film bearings
title_fullStr Uncertainty analysis of a flexible rotor supported by fluid film bearings
title_full_unstemmed Uncertainty analysis of a flexible rotor supported by fluid film bearings
title_sort Uncertainty analysis of a flexible rotor supported by fluid film bearings
author Cavalini Jr.,Aldemir Ap
author_facet Cavalini Jr.,Aldemir Ap
Lara-Molina,Fabian Andres
Sales,Thiago de Paula
Koroishi,Edson Hideki
Steffen Jr.,Valder
author_role author
author2 Lara-Molina,Fabian Andres
Sales,Thiago de Paula
Koroishi,Edson Hideki
Steffen Jr.,Valder
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Cavalini Jr.,Aldemir Ap
Lara-Molina,Fabian Andres
Sales,Thiago de Paula
Koroishi,Edson Hideki
Steffen Jr.,Valder
dc.subject.por.fl_str_mv Rotating machine
uncertainty analysis
fluid film bearings
fuzzy analysis
topic Rotating machine
uncertainty analysis
fluid film bearings
fuzzy analysis
description AbstractThis paper is dedicated to the analyses of the effect of uncertain parameters on the dynamic behavior of a flexible rotor containing two rigid discs and supported by two fluid film bearings. A stochastic method has been extensively used to model uncertain parameters, i.e., the so-called Monte Carlo simulation. However, in the present contribution, the inherent uncertainties of the bearings' parameters (i.e. the oil viscosity as a function of the oil temperature, and the radial clearance) are modeled by using a fuzzy dynamic analysis. This alternative methodology seems to be more appropriated when the stochastic process that models the uncertainties is unknown. The analysis procedure is confined to the time domain, being generated by the envelopes of the rotor orbits and the unbalance responses obtained from a run-down operating condition. The hydrodynamic supporting forces are determined by considering a nonlinear model, which is based on the solution of the dimensionless Reynolds' equation for cylindrical and short journal bearings. This numerical study illustrates the versatility and convenience of the mentioned fuzzy approach for uncertainty analysis. The results from the stochastic analysis are also presented for comparison purposes.
publishDate 2015
dc.date.none.fl_str_mv 2015-08-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252015000801487
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1679-78252015000801487
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1679-78251582
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv text/html
dc.publisher.none.fl_str_mv Associação Brasileira de Ciências Mecânicas
publisher.none.fl_str_mv Associação Brasileira de Ciências Mecânicas
dc.source.none.fl_str_mv Latin American Journal of Solids and Structures v.12 n.8 2015
reponame:Latin American journal of solids and structures (Online)
instname:Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron:ABCM
instname_str Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
instacron_str ABCM
institution ABCM
reponame_str Latin American journal of solids and structures (Online)
collection Latin American journal of solids and structures (Online)
repository.name.fl_str_mv Latin American journal of solids and structures (Online) - Associação Brasileira de Engenharia e Ciências Mecânicas (ABCM)
repository.mail.fl_str_mv abcm@abcm.org.br||maralves@usp.br
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