Mathematical methodologies for calculating the mass diffusion coefficient of bananas during drying

Detalhes bibliográficos
Autor(a) principal: Amendola,Mariângela
Data de Publicação: 2007
Outros Autores: Queiroz,Marlene R.
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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spelling 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
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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)
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