Evaluation of effective diffusivity correlations for soybeans in thin layer drying

Detalhes bibliográficos
Autor(a) principal: d'Avila, Felipe
Data de Publicação: 2020
Outros Autores: Urnau, Rafael Maurício, Blauth, Amanda Mansano Zanella, Moreira, Marcos Flávio Pinto
Tipo de documento: Artigo
Idioma: eng
Título da fonte: The Journal of Engineering and Exact Sciences
Texto Completo: https://periodicos.ufv.br/jcec/article/view/10895
Resumo: Soybean is one of the main crops in the world and drying plays an important role in maintaining the quality of the grains. The present study aimed to evaluate different existing models regarding the ability to predict the effective diffusivity of soybeans, an important parameter in studies of the operation. The slope method was used to determine the effective diffusivity, starting from the second Fick's Law, with negligible shrinkage and external mass transfer resistance. The parameter was analyzed as being dependent on both temperature and moisture content. The correlation proposed by Dotto et al. (2018) was the one with the lowest average error (0.048%) for the consideration of an average effective diffusivity. In order to consider a punctual effective diffusivity, modifications were made to the Dotto model, providing a maximum error of 2.6%.
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spelling Evaluation of effective diffusivity correlations for soybeans in thin layer dryingAnálise de correlações da difusividade efetiva de grãos de soja submetidos a secagem em camada finaMass transferFick’s LawSlope methodSoybean is one of the main crops in the world and drying plays an important role in maintaining the quality of the grains. The present study aimed to evaluate different existing models regarding the ability to predict the effective diffusivity of soybeans, an important parameter in studies of the operation. The slope method was used to determine the effective diffusivity, starting from the second Fick's Law, with negligible shrinkage and external mass transfer resistance. The parameter was analyzed as being dependent on both temperature and moisture content. The correlation proposed by Dotto et al. (2018) was the one with the lowest average error (0.048%) for the consideration of an average effective diffusivity. In order to consider a punctual effective diffusivity, modifications were made to the Dotto model, providing a maximum error of 2.6%.A soja é uma das principais lavouras mundiais e a secagem desempenha importante papel na manutenção da qualidade dos grãos. O presente estudo teve como objetivo avaliar diferentes modelos existentes quanto a capacidade de previsão da difusividade efetiva da soja, parâmetro este importante nos estudos da operação. Utilizou-se o método das tangentes para a determinação da difusividade efetiva, a partir da segunda Lei de Fick, desprezando encolhimento e a resistência externa a transferência de massa. O parâmetro foi analisado como sendo dependente tanto da temperatura como do teor de umidade. A correlação proposta por Dotto et al. (2018) foi a que apresentou menor erro médio (0,048%) para os a consideração de uma difusividade efetiva média. Para a consideração de uma difusividade efetiva pontual, foram realizadas modificações no modelo de Dotto, proporcionando um erro máximo de 2,6%.Universidade Federal de Viçosa - UFV2020-10-21info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://periodicos.ufv.br/jcec/article/view/1089510.18540/jcecvl6iss4pp0446-0452The Journal of Engineering and Exact Sciences; Vol. 6 No. 4 (2020); 0446-0452The Journal of Engineering and Exact Sciences; Vol. 6 Núm. 4 (2020); 0446-0452The Journal of Engineering and Exact Sciences; v. 6 n. 4 (2020); 0446-04522527-1075reponame:The Journal of Engineering and Exact Sciencesinstname:Universidade Federal de Viçosa (UFV)instacron:UFVenghttps://periodicos.ufv.br/jcec/article/view/10895/6045Copyright (c) 2020 The Journal of Engineering and Exact Scienceshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessd'Avila, FelipeUrnau, Rafael MaurícioBlauth, Amanda Mansano ZanellaMoreira, Marcos Flávio Pinto2021-02-23T20:11:08Zoai:ojs.periodicos.ufv.br:article/10895Revistahttp://www.seer.ufv.br/seer/rbeq2/index.php/req2/oai2527-10752527-1075opendoar:2021-02-23T20:11:08The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)false
dc.title.none.fl_str_mv Evaluation of effective diffusivity correlations for soybeans in thin layer drying
Análise de correlações da difusividade efetiva de grãos de soja submetidos a secagem em camada fina
title Evaluation of effective diffusivity correlations for soybeans in thin layer drying
spellingShingle Evaluation of effective diffusivity correlations for soybeans in thin layer drying
d'Avila, Felipe
Mass transfer
Fick’s Law
Slope method
title_short Evaluation of effective diffusivity correlations for soybeans in thin layer drying
title_full Evaluation of effective diffusivity correlations for soybeans in thin layer drying
title_fullStr Evaluation of effective diffusivity correlations for soybeans in thin layer drying
title_full_unstemmed Evaluation of effective diffusivity correlations for soybeans in thin layer drying
title_sort Evaluation of effective diffusivity correlations for soybeans in thin layer drying
author d'Avila, Felipe
author_facet d'Avila, Felipe
Urnau, Rafael Maurício
Blauth, Amanda Mansano Zanella
Moreira, Marcos Flávio Pinto
author_role author
author2 Urnau, Rafael Maurício
Blauth, Amanda Mansano Zanella
Moreira, Marcos Flávio Pinto
author2_role author
author
author
dc.contributor.author.fl_str_mv d'Avila, Felipe
Urnau, Rafael Maurício
Blauth, Amanda Mansano Zanella
Moreira, Marcos Flávio Pinto
dc.subject.por.fl_str_mv Mass transfer
Fick’s Law
Slope method
topic Mass transfer
Fick’s Law
Slope method
description Soybean is one of the main crops in the world and drying plays an important role in maintaining the quality of the grains. The present study aimed to evaluate different existing models regarding the ability to predict the effective diffusivity of soybeans, an important parameter in studies of the operation. The slope method was used to determine the effective diffusivity, starting from the second Fick's Law, with negligible shrinkage and external mass transfer resistance. The parameter was analyzed as being dependent on both temperature and moisture content. The correlation proposed by Dotto et al. (2018) was the one with the lowest average error (0.048%) for the consideration of an average effective diffusivity. In order to consider a punctual effective diffusivity, modifications were made to the Dotto model, providing a maximum error of 2.6%.
publishDate 2020
dc.date.none.fl_str_mv 2020-10-21
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://periodicos.ufv.br/jcec/article/view/10895
10.18540/jcecvl6iss4pp0446-0452
url https://periodicos.ufv.br/jcec/article/view/10895
identifier_str_mv 10.18540/jcecvl6iss4pp0446-0452
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv https://periodicos.ufv.br/jcec/article/view/10895/6045
dc.rights.driver.fl_str_mv Copyright (c) 2020 The Journal of Engineering and Exact Sciences
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2020 The Journal of Engineering and Exact Sciences
https://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 Universidade Federal de Viçosa - UFV
publisher.none.fl_str_mv Universidade Federal de Viçosa - UFV
dc.source.none.fl_str_mv The Journal of Engineering and Exact Sciences; Vol. 6 No. 4 (2020); 0446-0452
The Journal of Engineering and Exact Sciences; Vol. 6 Núm. 4 (2020); 0446-0452
The Journal of Engineering and Exact Sciences; v. 6 n. 4 (2020); 0446-0452
2527-1075
reponame:The Journal of Engineering and Exact Sciences
instname:Universidade Federal de Viçosa (UFV)
instacron:UFV
instname_str Universidade Federal de Viçosa (UFV)
instacron_str UFV
institution UFV
reponame_str The Journal of Engineering and Exact Sciences
collection The Journal of Engineering and Exact Sciences
repository.name.fl_str_mv The Journal of Engineering and Exact Sciences - Universidade Federal de Viçosa (UFV)
repository.mail.fl_str_mv
_version_ 1808845246047453184

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