A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach
Autor(a) principal: | |
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Data de Publicação: | 2023 |
Outros Autores: | , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Institucional da UNESP |
Texto Completo: | http://dx.doi.org/10.1016/j.biosystemseng.2022.12.004 http://hdl.handle.net/11449/246624 |
Resumo: | Diffusion is the mass transfer phenomenon that governs the hot air drying of grain. This study aimed to obtain an equation for the anomalous diffusion of distributed parameters in soybean drying using fractional-order calculus drying techniques for non-ideal processes and with non-local properties. Kinetic data from soybean drying at different temperatures were collected, and classical diffusion models were fitted to the experimental data. They were compared with a lumped parameters from a fractional order model for diffusion in time and with a distributed parameters model obtained by a generalisation of the spatial derivative of the classical Fick model using fractional derivatives. The results indicate that soybean presents anomalous diffusion, and that the fractional model order in time has a better fit than the classic models. This suggests anomalous diffusion, except when temperatures reach 100 °C at which point water vaporisation occurs and whole-order models appear appropriate. |
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Repositório Institucional da UNESP |
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spelling |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approachAnomalous diffusionFractional CalculusGrain dryingKineticsMass transferDiffusion is the mass transfer phenomenon that governs the hot air drying of grain. This study aimed to obtain an equation for the anomalous diffusion of distributed parameters in soybean drying using fractional-order calculus drying techniques for non-ideal processes and with non-local properties. Kinetic data from soybean drying at different temperatures were collected, and classical diffusion models were fitted to the experimental data. They were compared with a lumped parameters from a fractional order model for diffusion in time and with a distributed parameters model obtained by a generalisation of the spatial derivative of the classical Fick model using fractional derivatives. The results indicate that soybean presents anomalous diffusion, and that the fractional model order in time has a better fit than the classic models. This suggests anomalous diffusion, except when temperatures reach 100 °C at which point water vaporisation occurs and whole-order models appear appropriate.Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)Industrial Engineering Department Universidade Estadual Do Paraná, R. Comendador Correia Júnior, 117Industrial Engineering Department Universidad Tecnológica Del Perú, Av. Arequipa 265Graduate Program of Industrial Engineering Universidade Tecnológica Federal Do Paraná, R. Doutor Washington Subtil Chueire 330Chemical Engineering Department Universidade Tecnológica Federal Do Paraná, Line Santa Bárbara PO Box 135Biosystem Engineering Department Universidade Estadual de São Paulo, Av. Duque de Caxias Norte, 225, PirassunungaStatistics Department Universidade Estadual de Maringá, Av. Colombo 5790Chemical Engineering Department Universidade Estadual de Maringá, Av. Colombo 5790Biosystem Engineering Department Universidade Estadual de São Paulo, Av. Duque de Caxias Norte, 225, PirassunungaUniversidade Estadual Do ParanáUniversidad Tecnológica Del PerúUniversidade Tecnológica Federal Do ParanáUniversidade Estadual Paulista (UNESP)Universidade Estadual de Maringá (UEM)Matias, Gustavo S.Lermen, Fernando H.Matos, CamilaNicolin, Douglas J.Fischer, Clovis [UNESP]Rossoni, Diogo F.Jorge, Luis M.M.2023-07-29T12:46:04Z2023-07-29T12:46:04Z2023-02-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/article16-26http://dx.doi.org/10.1016/j.biosystemseng.2022.12.004Biosystems Engineering, v. 226, p. 16-26.1537-5110http://hdl.handle.net/11449/24662410.1016/j.biosystemseng.2022.12.0042-s2.0-85145968962Scopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPengBiosystems Engineeringinfo:eu-repo/semantics/openAccess2023-07-29T12:46:04Zoai:repositorio.unesp.br:11449/246624Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:20:30.994851Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false |
dc.title.none.fl_str_mv |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach |
title |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach |
spellingShingle |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach Matias, Gustavo S. Anomalous diffusion Fractional Calculus Grain drying Kinetics Mass transfer |
title_short |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach |
title_full |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach |
title_fullStr |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach |
title_full_unstemmed |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach |
title_sort |
A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach |
author |
Matias, Gustavo S. |
author_facet |
Matias, Gustavo S. Lermen, Fernando H. Matos, Camila Nicolin, Douglas J. Fischer, Clovis [UNESP] Rossoni, Diogo F. Jorge, Luis M.M. |
author_role |
author |
author2 |
Lermen, Fernando H. Matos, Camila Nicolin, Douglas J. Fischer, Clovis [UNESP] Rossoni, Diogo F. Jorge, Luis M.M. |
author2_role |
author author author author author author |
dc.contributor.none.fl_str_mv |
Universidade Estadual Do Paraná Universidad Tecnológica Del Perú Universidade Tecnológica Federal Do Paraná Universidade Estadual Paulista (UNESP) Universidade Estadual de Maringá (UEM) |
dc.contributor.author.fl_str_mv |
Matias, Gustavo S. Lermen, Fernando H. Matos, Camila Nicolin, Douglas J. Fischer, Clovis [UNESP] Rossoni, Diogo F. Jorge, Luis M.M. |
dc.subject.por.fl_str_mv |
Anomalous diffusion Fractional Calculus Grain drying Kinetics Mass transfer |
topic |
Anomalous diffusion Fractional Calculus Grain drying Kinetics Mass transfer |
description |
Diffusion is the mass transfer phenomenon that governs the hot air drying of grain. This study aimed to obtain an equation for the anomalous diffusion of distributed parameters in soybean drying using fractional-order calculus drying techniques for non-ideal processes and with non-local properties. Kinetic data from soybean drying at different temperatures were collected, and classical diffusion models were fitted to the experimental data. They were compared with a lumped parameters from a fractional order model for diffusion in time and with a distributed parameters model obtained by a generalisation of the spatial derivative of the classical Fick model using fractional derivatives. The results indicate that soybean presents anomalous diffusion, and that the fractional model order in time has a better fit than the classic models. This suggests anomalous diffusion, except when temperatures reach 100 °C at which point water vaporisation occurs and whole-order models appear appropriate. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-07-29T12:46:04Z 2023-07-29T12:46:04Z 2023-02-01 |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
http://dx.doi.org/10.1016/j.biosystemseng.2022.12.004 Biosystems Engineering, v. 226, p. 16-26. 1537-5110 http://hdl.handle.net/11449/246624 10.1016/j.biosystemseng.2022.12.004 2-s2.0-85145968962 |
url |
http://dx.doi.org/10.1016/j.biosystemseng.2022.12.004 http://hdl.handle.net/11449/246624 |
identifier_str_mv |
Biosystems Engineering, v. 226, p. 16-26. 1537-5110 10.1016/j.biosystemseng.2022.12.004 2-s2.0-85145968962 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
Biosystems Engineering |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
16-26 |
dc.source.none.fl_str_mv |
Scopus reponame:Repositório Institucional da UNESP instname:Universidade Estadual Paulista (UNESP) instacron:UNESP |
instname_str |
Universidade Estadual Paulista (UNESP) |
instacron_str |
UNESP |
institution |
UNESP |
reponame_str |
Repositório Institucional da UNESP |
collection |
Repositório Institucional da UNESP |
repository.name.fl_str_mv |
Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP) |
repository.mail.fl_str_mv |
|
_version_ |
1808129054343168000 |