A model of distributed parameters for non-Fickian diffusion in grain drying based on the fractional calculus approach

Detalhes bibliográficos
Autor(a) principal: Matias, Gustavo S.
Data de Publicação: 2023
Outros Autores: Lermen, Fernando H., Matos, Camila, Nicolin, Douglas J., Fischer, Clovis [UNESP], Rossoni, Diogo F., Jorge, Luis M.M.
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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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