Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics

Detalhes bibliográficos
Autor(a) principal: Mateus, Felipe Leonardo Barcelos
Data de Publicação: 2021
Outros Autores: Petri Júnior, Irineu
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da UFLA
Texto Completo: http://repositorio.ufla.br/jspui/handle/1/49259
Resumo: The drying procedure is capable of increasing the shelf life of many products, and facilitates its transport and storage. However, in the subsequent stages of the drying, the operation can display inefficiencies. An alternative to mitigate this is the use of a silo-dryer, an equipment that allows the simultaneous drying and storage of the material. Coffee is a product of great importance in the industry, and its market value is linked to the physical and sensorial qualities of the seed. The silo-drier can ensure these qualities through intermittent drying and optimizations in the energy consumption. In this work the operation of a cylindrical silo-dryer through computational fluid-dynamics was analyzed, studying the convergence for different numerical models. The behavior of volumetric fraction, air velocity and seed temperature were qualitatively examined with hot air at the inlet. The simulations were carried out through the software FLUENT® 19.2 using three different numerical models: the Eulerian Multiphase Model for Granular flow with packed bed configuration disabled, the same model but with the packed bed configuration enabled, and the porous zone single-phase modelling. It was found that the momentum relaxation factor influenced the results. Moderately lower factors allowed for faster convergence without significant particle behavior change. Monitoring the mass residue, the enabled packed bed modelling presented lower residuals, while the porous zone modelling presented higher residuals. The packed bed and porous zone modelling reported lower air velocities in comparison to the disabled packed bed modelling, and presented satisfactory heat transfer through the temperature profiles.
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spelling Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamicsCFDCoffeeDryingEulerianMultiphaseComputational fluid dynamics (CFD)The drying procedure is capable of increasing the shelf life of many products, and facilitates its transport and storage. However, in the subsequent stages of the drying, the operation can display inefficiencies. An alternative to mitigate this is the use of a silo-dryer, an equipment that allows the simultaneous drying and storage of the material. Coffee is a product of great importance in the industry, and its market value is linked to the physical and sensorial qualities of the seed. The silo-drier can ensure these qualities through intermittent drying and optimizations in the energy consumption. In this work the operation of a cylindrical silo-dryer through computational fluid-dynamics was analyzed, studying the convergence for different numerical models. The behavior of volumetric fraction, air velocity and seed temperature were qualitatively examined with hot air at the inlet. The simulations were carried out through the software FLUENT® 19.2 using three different numerical models: the Eulerian Multiphase Model for Granular flow with packed bed configuration disabled, the same model but with the packed bed configuration enabled, and the porous zone single-phase modelling. It was found that the momentum relaxation factor influenced the results. Moderately lower factors allowed for faster convergence without significant particle behavior change. Monitoring the mass residue, the enabled packed bed modelling presented lower residuals, while the porous zone modelling presented higher residuals. The packed bed and porous zone modelling reported lower air velocities in comparison to the disabled packed bed modelling, and presented satisfactory heat transfer through the temperature profiles.Editora UFLA2022-02-11T15:56:01Z2022-02-11T15:56:01Z2021-10-29info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfMATEUS, F. L. B.; PETRI JÚNIOR, I. Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics. Coffee Science, Lavras, v. 16, p. 1-11, 2021. DOI: 10.25186/.v16i.1902.http://repositorio.ufla.br/jspui/handle/1/49259Coffee Sciencereponame:Repositório Institucional da UFLAinstname:Universidade Federal de Lavras (UFLA)instacron:UFLAAttribution 4.0 Internationalhttp://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessMateus, Felipe Leonardo BarcelosPetri Júnior, Irineueng2023-05-03T11:42:42Zoai:localhost:1/49259Repositório InstitucionalPUBhttp://repositorio.ufla.br/oai/requestnivaldo@ufla.br || repositorio.biblioteca@ufla.bropendoar:2023-05-03T11:42:42Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)false
dc.title.none.fl_str_mv Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
title Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
spellingShingle Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
Mateus, Felipe Leonardo Barcelos
CFD
Coffee
Drying
Eulerian
Multiphase
Computational fluid dynamics (CFD)
title_short Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
title_full Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
title_fullStr Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
title_full_unstemmed Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
title_sort Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics
author Mateus, Felipe Leonardo Barcelos
author_facet Mateus, Felipe Leonardo Barcelos
Petri Júnior, Irineu
author_role author
author2 Petri Júnior, Irineu
author2_role author
dc.contributor.author.fl_str_mv Mateus, Felipe Leonardo Barcelos
Petri Júnior, Irineu
dc.subject.por.fl_str_mv CFD
Coffee
Drying
Eulerian
Multiphase
Computational fluid dynamics (CFD)
topic CFD
Coffee
Drying
Eulerian
Multiphase
Computational fluid dynamics (CFD)
description The drying procedure is capable of increasing the shelf life of many products, and facilitates its transport and storage. However, in the subsequent stages of the drying, the operation can display inefficiencies. An alternative to mitigate this is the use of a silo-dryer, an equipment that allows the simultaneous drying and storage of the material. Coffee is a product of great importance in the industry, and its market value is linked to the physical and sensorial qualities of the seed. The silo-drier can ensure these qualities through intermittent drying and optimizations in the energy consumption. In this work the operation of a cylindrical silo-dryer through computational fluid-dynamics was analyzed, studying the convergence for different numerical models. The behavior of volumetric fraction, air velocity and seed temperature were qualitatively examined with hot air at the inlet. The simulations were carried out through the software FLUENT® 19.2 using three different numerical models: the Eulerian Multiphase Model for Granular flow with packed bed configuration disabled, the same model but with the packed bed configuration enabled, and the porous zone single-phase modelling. It was found that the momentum relaxation factor influenced the results. Moderately lower factors allowed for faster convergence without significant particle behavior change. Monitoring the mass residue, the enabled packed bed modelling presented lower residuals, while the porous zone modelling presented higher residuals. The packed bed and porous zone modelling reported lower air velocities in comparison to the disabled packed bed modelling, and presented satisfactory heat transfer through the temperature profiles.
publishDate 2021
dc.date.none.fl_str_mv 2021-10-29
2022-02-11T15:56:01Z
2022-02-11T15:56:01Z
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 MATEUS, F. L. B.; PETRI JÚNIOR, I. Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics. Coffee Science, Lavras, v. 16, p. 1-11, 2021. DOI: 10.25186/.v16i.1902.
http://repositorio.ufla.br/jspui/handle/1/49259
identifier_str_mv MATEUS, F. L. B.; PETRI JÚNIOR, I. Modeling effectiveness analysis of momentum and heat transfer in a fixed bed silo-dryer through computational fluid-dynamics. Coffee Science, Lavras, v. 16, p. 1-11, 2021. DOI: 10.25186/.v16i.1902.
url http://repositorio.ufla.br/jspui/handle/1/49259
dc.language.iso.fl_str_mv eng
language eng
dc.rights.driver.fl_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Attribution 4.0 International
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Editora UFLA
publisher.none.fl_str_mv Editora UFLA
dc.source.none.fl_str_mv Coffee Science
reponame:Repositório Institucional da UFLA
instname:Universidade Federal de Lavras (UFLA)
instacron:UFLA
instname_str Universidade Federal de Lavras (UFLA)
instacron_str UFLA
institution UFLA
reponame_str Repositório Institucional da UFLA
collection Repositório Institucional da UFLA
repository.name.fl_str_mv Repositório Institucional da UFLA - Universidade Federal de Lavras (UFLA)
repository.mail.fl_str_mv nivaldo@ufla.br || repositorio.biblioteca@ufla.br
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