Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying
Autor(a) principal: | |
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Data de Publicação: | 2007 |
Outros Autores: | |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
Texto Completo: | http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662007000600011 |
Resumo: | In this work two mathematical methodologies to solve the diffusion differential equation related to the banana drying process were used in order to obtain the mass diffusion coefficient value. A simplified mathematical model was considered that was based on Fick's Law, with initial and boundary conditions according to the experimental procedure carried out for banana drying. The first methodology was performed by using an approximation of the analytical solution and the second by using the numerical simulation according to the implicit scheme of the finite difference method. The calculation was carried out by looking for the minimal value of the norm calculated between the experimental data and the theoretical results obtained using different values of the diffusion coefficient. The algorithms associated with these methodologies were implemented with Matlab. The values of the diffusion coefficient according to the first and second methodologies were 1.65 x 10-6 [m² h-1] and 1.58 x 10-6 [m² h-1] respectively, with the associated minimal residual values of 0.0269 and 0.0257. |
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Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
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Mathematical methodologies for calculating the mass diffusion coefficient of bananas during dryingfinite differences methodimplicit schemeanalytical solutionbananasmass diffusion coefficientIn this work two mathematical methodologies to solve the diffusion differential equation related to the banana drying process were used in order to obtain the mass diffusion coefficient value. A simplified mathematical model was considered that was based on Fick's Law, with initial and boundary conditions according to the experimental procedure carried out for banana drying. The first methodology was performed by using an approximation of the analytical solution and the second by using the numerical simulation according to the implicit scheme of the finite difference method. The calculation was carried out by looking for the minimal value of the norm calculated between the experimental data and the theoretical results obtained using different values of the diffusion coefficient. The algorithms associated with these methodologies were implemented with Matlab. The values of the diffusion coefficient according to the first and second methodologies were 1.65 x 10-6 [m² h-1] and 1.58 x 10-6 [m² h-1] respectively, with the associated minimal residual values of 0.0269 and 0.0257.Departamento de Engenharia Agrícola - UFCG2007-12-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662007000600011Revista Brasileira de Engenharia Agrícola e Ambiental v.11 n.6 2007reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/S1415-43662007000600011info:eu-repo/semantics/openAccessAmendola,MariângelaQueiroz,Marlene R.eng2009-09-28T00:00:00Zoai:scielo:S1415-43662007000600011Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2009-09-28T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false |
dc.title.none.fl_str_mv |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying |
title |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying |
spellingShingle |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying Amendola,Mariângela finite differences method implicit scheme analytical solution bananas mass diffusion coefficient |
title_short |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying |
title_full |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying |
title_fullStr |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying |
title_full_unstemmed |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying |
title_sort |
Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying |
author |
Amendola,Mariângela |
author_facet |
Amendola,Mariângela Queiroz,Marlene R. |
author_role |
author |
author2 |
Queiroz,Marlene R. |
author2_role |
author |
dc.contributor.author.fl_str_mv |
Amendola,Mariângela Queiroz,Marlene R. |
dc.subject.por.fl_str_mv |
finite differences method implicit scheme analytical solution bananas mass diffusion coefficient |
topic |
finite differences method implicit scheme analytical solution bananas mass diffusion coefficient |
description |
In this work two mathematical methodologies to solve the diffusion differential equation related to the banana drying process were used in order to obtain the mass diffusion coefficient value. A simplified mathematical model was considered that was based on Fick's Law, with initial and boundary conditions according to the experimental procedure carried out for banana drying. The first methodology was performed by using an approximation of the analytical solution and the second by using the numerical simulation according to the implicit scheme of the finite difference method. The calculation was carried out by looking for the minimal value of the norm calculated between the experimental data and the theoretical results obtained using different values of the diffusion coefficient. The algorithms associated with these methodologies were implemented with Matlab. The values of the diffusion coefficient according to the first and second methodologies were 1.65 x 10-6 [m² h-1] and 1.58 x 10-6 [m² h-1] respectively, with the associated minimal residual values of 0.0269 and 0.0257. |
publishDate |
2007 |
dc.date.none.fl_str_mv |
2007-12-01 |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662007000600011 |
url |
http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662007000600011 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.1590/S1415-43662007000600011 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
text/html |
dc.publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
publisher.none.fl_str_mv |
Departamento de Engenharia Agrícola - UFCG |
dc.source.none.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental v.11 n.6 2007 reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online) instname:Universidade Federal de Campina Grande (UFCG) instacron:UFCG |
instname_str |
Universidade Federal de Campina Grande (UFCG) |
instacron_str |
UFCG |
institution |
UFCG |
reponame_str |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
collection |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) |
repository.name.fl_str_mv |
Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG) |
repository.mail.fl_str_mv |
||agriambi@agriambi.com.br |
_version_ |
1750297678249459712 |