Mathematical modeling of the drying process of corn ears - doi: 10.4025/actasciagron.v33i4.7079
Autor(a) principal: | |
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Data de Publicação: | 2011 |
Outros Autores: | , , , , |
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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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 |
_version_ |
1799305907702595584 |