Evaluation of semi-empirical and non-linear drying models by Bayesian inference

Detalhes bibliográficos
Autor(a) principal: Oliveira, Ricardo C. de
Data de Publicação: 2014
Outros Autores: Rossi, Robson Marcelo, Gimenes, Marcelino Luis, Barros, Sueli T. D. de
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Acta scientiarum. Technology (Online)
Texto Completo: http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/12691
Resumo: Current analysis investigates thin layer drying experiments on passion fruit seeds. Drying characteristics of passion fruit seeds were examined using ambient air for temperature range between 40 and 65ºC and air flow velocity range between 0.6 and 1.2 m s-1. The semi-empirical models were then fitted to the drying data by Bayesian inference, based on the ratios of the difference between the initial and final moisture contents and equilibrium moisture content. The effective diffusivity varied between 1.70 x 10-10 and 4.68 x 10-10 m2 s-1 with temperature and air flow rate increase. Temperature dependence on the diffusivity coefficient was described by an Arrhenius-type relationship. The activation energy for moisture diffusion was 24.36, 35.24 and 13.86 kJ moL-1 for drying air speeds respectively equal to 0.6, 0.9 and 1.2 m s-1. 
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spelling Evaluation of semi-empirical and non-linear drying models by Bayesian inferenceFenômenos de Transportepassion fruit seedsdryingdiffusivityLewis modelCurrent analysis investigates thin layer drying experiments on passion fruit seeds. Drying characteristics of passion fruit seeds were examined using ambient air for temperature range between 40 and 65ºC and air flow velocity range between 0.6 and 1.2 m s-1. The semi-empirical models were then fitted to the drying data by Bayesian inference, based on the ratios of the difference between the initial and final moisture contents and equilibrium moisture content. The effective diffusivity varied between 1.70 x 10-10 and 4.68 x 10-10 m2 s-1 with temperature and air flow rate increase. Temperature dependence on the diffusivity coefficient was described by an Arrhenius-type relationship. The activation energy for moisture diffusion was 24.36, 35.24 and 13.86 kJ moL-1 for drying air speeds respectively equal to 0.6, 0.9 and 1.2 m s-1. Universidade Estadual De Maringá2014-09-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/1269110.4025/actascitechnol.v36i4.12691Acta Scientiarum. Technology; Vol 36 No 4 (2014); 635-641Acta Scientiarum. Technology; v. 36 n. 4 (2014); 635-6411806-25631807-8664reponame:Acta scientiarum. Technology (Online)instname:Universidade Estadual de Maringá (UEM)instacron:UEMenghttp://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/12691/pdf_35Oliveira, Ricardo C. deRossi, Robson MarceloGimenes, Marcelino LuisBarros, Sueli T. D. deinfo:eu-repo/semantics/openAccess2014-10-29T09:50:03Zoai:periodicos.uem.br/ojs:article/12691Revistahttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/indexPUBhttps://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/oai||actatech@uem.br1807-86641806-2563opendoar:2014-10-29T09:50:03Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)false
dc.title.none.fl_str_mv Evaluation of semi-empirical and non-linear drying models by Bayesian inference
title Evaluation of semi-empirical and non-linear drying models by Bayesian inference
spellingShingle Evaluation of semi-empirical and non-linear drying models by Bayesian inference
Oliveira, Ricardo C. de
Fenômenos de Transporte
passion fruit seeds
drying
diffusivity
Lewis model
title_short Evaluation of semi-empirical and non-linear drying models by Bayesian inference
title_full Evaluation of semi-empirical and non-linear drying models by Bayesian inference
title_fullStr Evaluation of semi-empirical and non-linear drying models by Bayesian inference
title_full_unstemmed Evaluation of semi-empirical and non-linear drying models by Bayesian inference
title_sort Evaluation of semi-empirical and non-linear drying models by Bayesian inference
author Oliveira, Ricardo C. de
author_facet Oliveira, Ricardo C. de
Rossi, Robson Marcelo
Gimenes, Marcelino Luis
Barros, Sueli T. D. de
author_role author
author2 Rossi, Robson Marcelo
Gimenes, Marcelino Luis
Barros, Sueli T. D. de
author2_role author
author
author
dc.contributor.author.fl_str_mv Oliveira, Ricardo C. de
Rossi, Robson Marcelo
Gimenes, Marcelino Luis
Barros, Sueli T. D. de
dc.subject.por.fl_str_mv Fenômenos de Transporte
passion fruit seeds
drying
diffusivity
Lewis model
topic Fenômenos de Transporte
passion fruit seeds
drying
diffusivity
Lewis model
description Current analysis investigates thin layer drying experiments on passion fruit seeds. Drying characteristics of passion fruit seeds were examined using ambient air for temperature range between 40 and 65ºC and air flow velocity range between 0.6 and 1.2 m s-1. The semi-empirical models were then fitted to the drying data by Bayesian inference, based on the ratios of the difference between the initial and final moisture contents and equilibrium moisture content. The effective diffusivity varied between 1.70 x 10-10 and 4.68 x 10-10 m2 s-1 with temperature and air flow rate increase. Temperature dependence on the diffusivity coefficient was described by an Arrhenius-type relationship. The activation energy for moisture diffusion was 24.36, 35.24 and 13.86 kJ moL-1 for drying air speeds respectively equal to 0.6, 0.9 and 1.2 m s-1. 
publishDate 2014
dc.date.none.fl_str_mv 2014-09-12
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/ActaSciTechnol/article/view/12691
10.4025/actascitechnol.v36i4.12691
url http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/12691
identifier_str_mv 10.4025/actascitechnol.v36i4.12691
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv http://www.periodicos.uem.br/ojs/index.php/ActaSciTechnol/article/view/12691/pdf_35
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv 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. Technology; Vol 36 No 4 (2014); 635-641
Acta Scientiarum. Technology; v. 36 n. 4 (2014); 635-641
1806-2563
1807-8664
reponame:Acta scientiarum. Technology (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. Technology (Online)
collection Acta scientiarum. Technology (Online)
repository.name.fl_str_mv Acta scientiarum. Technology (Online) - Universidade Estadual de Maringá (UEM)
repository.mail.fl_str_mv ||actatech@uem.br
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