Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results
Autor(a) principal: | |
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Data de Publicação: | 2008 |
Outros Autores: | , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.apm.2006.12.005 http://hdl.handle.net/11449/42484 |
Resumo: | A methodology of identification and characterization of coherent structures mostly known as clusters is applied to hydrodynamic results of numerical simulation generated for the riser of a circulating fluidized bed. The numerical simulation is performed using the MICEFLOW code, which includes the two-fluids IIT's hydrodynamic model B. The methodology for cluster characterization that is used is based in the determination of four characteristics, related to average life time, average volumetric fraction of solid, existing time fraction and frequency of occurrence. The identification of clusters is performed by applying a criterion related to the time average value of the volumetric solid fraction. A qualitative rather than quantitative analysis is performed mainly owing to the unavailability of operational data used in the considered experiments. Concerning qualitative analysis, the simulation results are in good agreement with literature. Some quantitative comparisons between predictions and experiment were also presented to emphasize the capability of the modeling procedure regarding the analysis of macroscopic scale coherent structures. (c) 2007 Elsevier B.V. All rights reserved. |
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Repositório Institucional da UNESP |
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Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation resultsclustersnumerical simulationgas-solid flowcirculating fluidized bedA methodology of identification and characterization of coherent structures mostly known as clusters is applied to hydrodynamic results of numerical simulation generated for the riser of a circulating fluidized bed. The numerical simulation is performed using the MICEFLOW code, which includes the two-fluids IIT's hydrodynamic model B. The methodology for cluster characterization that is used is based in the determination of four characteristics, related to average life time, average volumetric fraction of solid, existing time fraction and frequency of occurrence. The identification of clusters is performed by applying a criterion related to the time average value of the volumetric solid fraction. A qualitative rather than quantitative analysis is performed mainly owing to the unavailability of operational data used in the considered experiments. Concerning qualitative analysis, the simulation results are in good agreement with literature. Some quantitative comparisons between predictions and experiment were also presented to emphasize the capability of the modeling procedure regarding the analysis of macroscopic scale coherent structures. (c) 2007 Elsevier B.V. All rights reserved.Univ São Paulo, Escola Engn São Carlos, Dept Engn Mec, BR-13566 São Carlos, SP, BrazilUniversidade Federal de Mato Grosso do Sul (UFMS), Dept Ciencias Exatas, BR-79620 Tres Lagoas, MS, BrazilUniv Estadual Paulista, Inst Geociencias & Ciencias Exatas, Dept Estat Matemat Aplicada Computacao, BR-13506 Rio Claro, SP, BrazilUniv Estadual Paulista, Inst Geociencias & Ciencias Exatas, Dept Estat Matemat Aplicada Computacao, BR-13506 Rio Claro, SP, BrazilElsevier B.V.Universidade de São Paulo (USP)Universidade Federal de Mato Grosso do Sul (UFMS)Universidade Estadual Paulista (Unesp)Cabezas-Gomez, Lubenda Silva, Renato CesarNavarro, Helio AparecidoMilioli, Fernando Eduardo [UNESP]2014-05-20T15:34:17Z2014-05-20T15:34:17Z2008-03-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article327-340application/pdfhttp://dx.doi.org/10.1016/j.apm.2006.12.005Applied Mathematical Modelling. New York: Elsevier B.V., v. 32, n. 3, p. 327-340, 2008.0307-904Xhttp://hdl.handle.net/11449/4248410.1016/j.apm.2006.12.005WOS:000253102200006WOS000253102200006.pdfWeb of Sciencereponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengApplied Mathematical Modelling2.617info:eu-repo/semantics/openAccess2023-12-23T06:15:03Zoai:repositorio.unesp.br:11449/42484Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T21:03:52.831183Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results |
title |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results |
spellingShingle |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results Cabezas-Gomez, Luben clusters numerical simulation gas-solid flow circulating fluidized bed |
title_short |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results |
title_full |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results |
title_fullStr |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results |
title_full_unstemmed |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results |
title_sort |
Cluster identification and characterization in the riser of a circulating fluidized bed from numerical simulation results |
author |
Cabezas-Gomez, Luben |
author_facet |
Cabezas-Gomez, Luben da Silva, Renato Cesar Navarro, Helio Aparecido Milioli, Fernando Eduardo [UNESP] |
author_role |
author |
author2 |
da Silva, Renato Cesar Navarro, Helio Aparecido Milioli, Fernando Eduardo [UNESP] |
author2_role |
author author author |
dc.contributor.none.fl_str_mv |
Universidade de São Paulo (USP) Universidade Federal de Mato Grosso do Sul (UFMS) Universidade Estadual Paulista (Unesp) |
dc.contributor.author.fl_str_mv |
Cabezas-Gomez, Luben da Silva, Renato Cesar Navarro, Helio Aparecido Milioli, Fernando Eduardo [UNESP] |
dc.subject.por.fl_str_mv |
clusters numerical simulation gas-solid flow circulating fluidized bed |
topic |
clusters numerical simulation gas-solid flow circulating fluidized bed |
description |
A methodology of identification and characterization of coherent structures mostly known as clusters is applied to hydrodynamic results of numerical simulation generated for the riser of a circulating fluidized bed. The numerical simulation is performed using the MICEFLOW code, which includes the two-fluids IIT's hydrodynamic model B. The methodology for cluster characterization that is used is based in the determination of four characteristics, related to average life time, average volumetric fraction of solid, existing time fraction and frequency of occurrence. The identification of clusters is performed by applying a criterion related to the time average value of the volumetric solid fraction. A qualitative rather than quantitative analysis is performed mainly owing to the unavailability of operational data used in the considered experiments. Concerning qualitative analysis, the simulation results are in good agreement with literature. Some quantitative comparisons between predictions and experiment were also presented to emphasize the capability of the modeling procedure regarding the analysis of macroscopic scale coherent structures. (c) 2007 Elsevier B.V. All rights reserved. |
publishDate |
2008 |
dc.date.none.fl_str_mv |
2008-03-01 2014-05-20T15:34:17Z 2014-05-20T15:34:17Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.apm.2006.12.005 Applied Mathematical Modelling. New York: Elsevier B.V., v. 32, n. 3, p. 327-340, 2008. 0307-904X http://hdl.handle.net/11449/42484 10.1016/j.apm.2006.12.005 WOS:000253102200006 WOS000253102200006.pdf |
url |
http://dx.doi.org/10.1016/j.apm.2006.12.005 http://hdl.handle.net/11449/42484 |
identifier_str_mv |
Applied Mathematical Modelling. New York: Elsevier B.V., v. 32, n. 3, p. 327-340, 2008. 0307-904X 10.1016/j.apm.2006.12.005 WOS:000253102200006 WOS000253102200006.pdf |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Applied Mathematical Modelling 2.617 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
327-340 application/pdf |
dc.publisher.none.fl_str_mv |
Elsevier B.V. |
publisher.none.fl_str_mv |
Elsevier B.V. |
dc.source.none.fl_str_mv |
Web of Science reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129280086900736 |