Drying kinetics of sunflower grains

Detalhes bibliográficos
Autor(a) principal: Smaniotto,Thaís A. de S.
Data de Publicação: 2017
Outros Autores: Resende,Osvaldo, Sousa,Kelly A. de, Oliveira,Daniel E. C. de, Campos,Rafael C.
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=S1415-43662017000300203
Resumo: ABSTRACT The objectives of this study were to fit different mathematical models to experimental data of drying of sunflower grains, determine and evaluate the effective diffusion coefficient and obtain the activation energy for the process during the drying under various conditions of air. The sunflower grains were collected with an initial moisture content of 0.5267 dry basis (d.b.) and dried in an oven with forced air ventilation under five temperature conditions: 35, 50, 65, 80 and 95 °C, until reaching the moisture content of 0.0934 ± 0.0061 (d.b.). Among the analyzed models, Wang and Singh showed the best fit to describe the drying phenomenon. The effective diffusion coefficient of sunflower grains increased with the increment in air temperature and has activation energy for liquid diffusion in the sunflower drying of 29.55 kJ mol-1.
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spelling Drying kinetics of sunflower grainsmathematical modelingHeliantus annusliquid diffusivityABSTRACT The objectives of this study were to fit different mathematical models to experimental data of drying of sunflower grains, determine and evaluate the effective diffusion coefficient and obtain the activation energy for the process during the drying under various conditions of air. The sunflower grains were collected with an initial moisture content of 0.5267 dry basis (d.b.) and dried in an oven with forced air ventilation under five temperature conditions: 35, 50, 65, 80 and 95 °C, until reaching the moisture content of 0.0934 ± 0.0061 (d.b.). Among the analyzed models, Wang and Singh showed the best fit to describe the drying phenomenon. The effective diffusion coefficient of sunflower grains increased with the increment in air temperature and has activation energy for liquid diffusion in the sunflower drying of 29.55 kJ mol-1.Departamento de Engenharia Agrícola - UFCG2017-03-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersiontext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000300203Revista Brasileira de Engenharia Agrícola e Ambiental v.21 n.3 2017reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)instname:Universidade Federal de Campina Grande (UFCG)instacron:UFCG10.1590/1807-1929/agriambi.v21n3p203-208info:eu-repo/semantics/openAccessSmaniotto,Thaís A. de S.Resende,OsvaldoSousa,Kelly A. deOliveira,Daniel E. C. deCampos,Rafael C.eng2017-03-08T00:00:00Zoai:scielo:S1415-43662017000300203Revistahttp://www.scielo.br/rbeaaPUBhttps://old.scielo.br/oai/scielo-oai.php||agriambi@agriambi.com.br1807-19291415-4366opendoar:2017-03-08T00:00Revista Brasileira de Engenharia Agrícola e Ambiental (Online) - Universidade Federal de Campina Grande (UFCG)false
dc.title.none.fl_str_mv Drying kinetics of sunflower grains
title Drying kinetics of sunflower grains
spellingShingle Drying kinetics of sunflower grains
Smaniotto,Thaís A. de S.
mathematical modeling
Heliantus annus
liquid diffusivity
title_short Drying kinetics of sunflower grains
title_full Drying kinetics of sunflower grains
title_fullStr Drying kinetics of sunflower grains
title_full_unstemmed Drying kinetics of sunflower grains
title_sort Drying kinetics of sunflower grains
author Smaniotto,Thaís A. de S.
author_facet Smaniotto,Thaís A. de S.
Resende,Osvaldo
Sousa,Kelly A. de
Oliveira,Daniel E. C. de
Campos,Rafael C.
author_role author
author2 Resende,Osvaldo
Sousa,Kelly A. de
Oliveira,Daniel E. C. de
Campos,Rafael C.
author2_role author
author
author
author
dc.contributor.author.fl_str_mv Smaniotto,Thaís A. de S.
Resende,Osvaldo
Sousa,Kelly A. de
Oliveira,Daniel E. C. de
Campos,Rafael C.
dc.subject.por.fl_str_mv mathematical modeling
Heliantus annus
liquid diffusivity
topic mathematical modeling
Heliantus annus
liquid diffusivity
description ABSTRACT The objectives of this study were to fit different mathematical models to experimental data of drying of sunflower grains, determine and evaluate the effective diffusion coefficient and obtain the activation energy for the process during the drying under various conditions of air. The sunflower grains were collected with an initial moisture content of 0.5267 dry basis (d.b.) and dried in an oven with forced air ventilation under five temperature conditions: 35, 50, 65, 80 and 95 °C, until reaching the moisture content of 0.0934 ± 0.0061 (d.b.). Among the analyzed models, Wang and Singh showed the best fit to describe the drying phenomenon. The effective diffusion coefficient of sunflower grains increased with the increment in air temperature and has activation energy for liquid diffusion in the sunflower drying of 29.55 kJ mol-1.
publishDate 2017
dc.date.none.fl_str_mv 2017-03-01
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
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dc.identifier.uri.fl_str_mv http://old.scielo.br/scielo.php?script=sci_arttext&pid=S1415-43662017000300203
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dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv 10.1590/1807-1929/agriambi.v21n3p203-208
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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.21 n.3 2017
reponame:Revista Brasileira de Engenharia Agrícola e Ambiental (Online)
instname:Universidade Federal de Campina Grande (UFCG)
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instname_str Universidade Federal de Campina Grande (UFCG)
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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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