Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079

Detalhes bibliográficos
Autor(a) principal: Corrêa, Paulo Cesar
Data de Publicação: 2011
Outros Autores: Botelho, Fernando Mendes, Oliveira, Gabriel Henrique Horta, Goneli, André Luis Duarte, Resende, Osvaldo, Campos, Sílvia de Carvalho
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Acta Scientiarum. Agronomy (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/7079
Resumo: The objective of this work was to study and model the drying process of corn ears at different air temperatures. Thermodynamic properties associated with the drying process of this product were also determined. Corn ears with initial moisture content of 0.45 dry basis (kgw kgdm-1) were dried until they reached a final moisture content of 0.12 (kgw kgdm-1) at temperatures of 45, 55 and 65°C. Traditional models used to describe the drying process of several agricultural products were employed to fit the observed data of the drying process of corn ears. The effective diffusion coefficient (Def) was determined by means of an analytical solution of Fick’s second law. It was concluded that the Logarithmic model was the one that best fit the observed data representing the drying process. Def values increased with temperature increases, ranging from 5.490 x 10-10 to 1.163 x 10-9 m2 s-1. Based on the dependence of the drying constant of the Logarithmic model with temperature, thermodynamic properties were determined, concluding that the drying kinetics variation is dependent on the energy contributions of the surrounding environment.
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spelling Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079Zea maysmathematical modelsmoisture contentZea maysmathematical modelsmoisture contentCiências AgráriasEngenharia AgrícolaArmazenamento de Produtos AgrícolasThe objective of this work was to study and model the drying process of corn ears at different air temperatures. Thermodynamic properties associated with the drying process of this product were also determined. Corn ears with initial moisture content of 0.45 dry basis (kgw kgdm-1) were dried until they reached a final moisture content of 0.12 (kgw kgdm-1) at temperatures of 45, 55 and 65°C. Traditional models used to describe the drying process of several agricultural products were employed to fit the observed data of the drying process of corn ears. The effective diffusion coefficient (Def) was determined by means of an analytical solution of Fick’s second law. It was concluded that the Logarithmic model was the one that best fit the observed data representing the drying process. Def values increased with temperature increases, ranging from 5.490 x 10-10 to 1.163 x 10-9 m2 s-1. Based on the dependence of the drying constant of the Logarithmic model with temperature, thermodynamic properties were determined, concluding that the drying kinetics variation is dependent on the energy contributions of the surrounding environment.The objective of this work was to study and model the drying process of corn ears at different air temperatures. Thermodynamic properties associated with the drying process of this product were also determined. Corn ears with initial moisture content of 0.45 dry basis (kgw kgdm-1) were dried until they reached a final moisture content of 0.12 (kgw kgdm-1) at temperatures of 45, 55 and 65°C. Traditional models used to describe the drying process of several agricultural products were employed to fit the observed data of the drying process of corn ears. The effective diffusion coefficient (Def) was determined by means of an analytical solution of Fick’s second law. It was concluded that the Logarithmic model was the one that best fit the observed data representing the drying process. Def values increased with temperature increases, ranging from 5.490 x 10-10 to 1.163 x 10-9 m2 s-1. Based on the dependence of the drying constant of the Logarithmic model with temperature, thermodynamic properties were determined, concluding that the drying kinetics variation is dependent on the energy contributions of the surrounding environment.Universidade Estadual de Maringá2011-05-04info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/707910.4025/actasciagron.v33i4.7079Acta Scientiarum. Agronomy; Vol 33 No 4 (2011); 575-581Acta Scientiarum. Agronomy; v. 33 n. 4 (2011); 575-5811807-86211679-9275reponame:Acta Scientiarum. Agronomy (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMporenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/7079/7079http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/7079/7079aCorrêa, Paulo CesarBotelho, Fernando MendesOliveira, Gabriel Henrique HortaGoneli, André Luis DuarteResende, OsvaldoCampos, Sílvia de Carvalhoinfo:eu-repo/semantics/openAccess2022-11-23T18:38:23Zoai:periodicos.uem.br/ojs:article/7079Revistahttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgronPUBhttp://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/oaiactaagron@uem.br||actaagron@uem.br|| edamasio@uem.br1807-86211679-9275opendoar:2022-11-23T18:38:23Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
title Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
spellingShingle Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
Corrêa, Paulo Cesar
Zea mays
mathematical models
moisture content
Zea mays
mathematical models
moisture content
Ciências Agrárias
Engenharia Agrícola
Armazenamento de Produtos Agrícolas
title_short Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
title_full Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
title_fullStr Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
title_full_unstemmed Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
title_sort Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
author Corrêa, Paulo Cesar
author_facet Corrêa, Paulo Cesar
Botelho, Fernando Mendes
Oliveira, Gabriel Henrique Horta
Goneli, André Luis Duarte
Resende, Osvaldo
Campos, Sílvia de Carvalho
author_role author
author2 Botelho, Fernando Mendes
Oliveira, Gabriel Henrique Horta
Goneli, André Luis Duarte
Resende, Osvaldo
Campos, Sílvia de Carvalho
author2_role author
author
author
author
author
dc.contributor.author.fl_str_mv Corrêa, Paulo Cesar
Botelho, Fernando Mendes
Oliveira, Gabriel Henrique Horta
Goneli, André Luis Duarte
Resende, Osvaldo
Campos, Sílvia de Carvalho
dc.subject.por.fl_str_mv Zea mays
mathematical models
moisture content
Zea mays
mathematical models
moisture content
Ciências Agrárias
Engenharia Agrícola
Armazenamento de Produtos Agrícolas
topic Zea mays
mathematical models
moisture content
Zea mays
mathematical models
moisture content
Ciências Agrárias
Engenharia Agrícola
Armazenamento de Produtos Agrícolas
description The objective of this work was to study and model the drying process of corn ears at different air temperatures. Thermodynamic properties associated with the drying process of this product were also determined. Corn ears with initial moisture content of 0.45 dry basis (kgw kgdm-1) were dried until they reached a final moisture content of 0.12 (kgw kgdm-1) at temperatures of 45, 55 and 65°C. Traditional models used to describe the drying process of several agricultural products were employed to fit the observed data of the drying process of corn ears. The effective diffusion coefficient (Def) was determined by means of an analytical solution of Fick’s second law. It was concluded that the Logarithmic model was the one that best fit the observed data representing the drying process. Def values increased with temperature increases, ranging from 5.490 x 10-10 to 1.163 x 10-9 m2 s-1. Based on the dependence of the drying constant of the Logarithmic model with temperature, thermodynamic properties were determined, concluding that the drying kinetics variation is dependent on the energy contributions of the surrounding environment.
publishDate 2011
dc.date.none.fl_str_mv 2011-05-04
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 http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/7079
10.4025/actasciagron.v33i4.7079
url http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/7079
identifier_str_mv 10.4025/actasciagron.v33i4.7079
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/7079/7079
http://www.periodicos.uem.br/ojs/index.php/ActaSciAgron/article/view/7079/7079a
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Universidade Estadual de Maringá
publisher.none.fl_str_mv Universidade Estadual de Maringá
dc.source.none.fl_str_mv Acta Scientiarum. Agronomy; Vol 33 No 4 (2011); 575-581
Acta Scientiarum. Agronomy; v. 33 n. 4 (2011); 575-581
1807-8621
1679-9275
reponame:Acta Scientiarum. Agronomy (Online)
instname:Universidade Estadual de Maringá (UEM)
instacron:UEM
instname_str Universidade Estadual de Maringá (UEM)
instacron_str UEM
institution UEM
reponame_str Acta Scientiarum. Agronomy (Online)
collection Acta Scientiarum. Agronomy (Online)
repository.name.fl_str_mv Acta Scientiarum. Agronomy (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv actaagron@uem.br||actaagron@uem.br|| edamasio@uem.br
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