Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution

Autores
Giner, Sergio Adrian; Mascheroni, Rodolfo Horacio
Año de publicación
2001
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Mathematical models for kernel drying predict grain-air mass and heat transfer rates, and the faster and more accurately they can do this the better, especially in simulation-based design and control. Few publications used the simplified analytical solution of the diffusion equation for 'short times' based on semi-infinite medium concepts, which is simpler and as accurate as the exact infinite series though it still awaits its place in determining diffusion coefficients. The drying background of wheat and similarly sized grains was reanalysed because assumptions that could not apply to larger grains may be valid for smaller ones to justify analytical solutions. Reliable Biot numbers were calculated to be some 0.5 for heat transfer and 50-3000 (internal control) for mass transfer. Despite heat transfer which individually may or may not be considered to be controlled externally, the grain thermal-to-moisture diffusivity ratio was about 6000, making heat transfer instantaneous compared with mass transfer. To corroborate these indicators, the complete heat conduction - moisture diffusion problem was numerically solved, and the predictions showed, precisely, that analytical solutions may be used to estimate diffusion coefficients in wheat. Then, the steps leading to this overlooked simplified diffusive equation were revised in the light of current knowledge to show how computing time can be saved without loss of accuracy.
Fil: Giner, Sergio Adrian. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería; Argentina
Fil: Mascheroni, Rodolfo Horacio. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería; Argentina
Materia
Kernel drying
Diffusion coefficient
Model
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/112886

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spelling Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical SolutionGiner, Sergio AdrianMascheroni, Rodolfo HoracioKernel dryingDiffusion coefficientModelhttps://purl.org/becyt/ford/2.11https://purl.org/becyt/ford/2Mathematical models for kernel drying predict grain-air mass and heat transfer rates, and the faster and more accurately they can do this the better, especially in simulation-based design and control. Few publications used the simplified analytical solution of the diffusion equation for 'short times' based on semi-infinite medium concepts, which is simpler and as accurate as the exact infinite series though it still awaits its place in determining diffusion coefficients. The drying background of wheat and similarly sized grains was reanalysed because assumptions that could not apply to larger grains may be valid for smaller ones to justify analytical solutions. Reliable Biot numbers were calculated to be some 0.5 for heat transfer and 50-3000 (internal control) for mass transfer. Despite heat transfer which individually may or may not be considered to be controlled externally, the grain thermal-to-moisture diffusivity ratio was about 6000, making heat transfer instantaneous compared with mass transfer. To corroborate these indicators, the complete heat conduction - moisture diffusion problem was numerically solved, and the predictions showed, precisely, that analytical solutions may be used to estimate diffusion coefficients in wheat. Then, the steps leading to this overlooked simplified diffusive equation were revised in the light of current knowledge to show how computing time can be saved without loss of accuracy.Fil: Giner, Sergio Adrian. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería; ArgentinaFil: Mascheroni, Rodolfo Horacio. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería; ArgentinaAcademic Press2001-12info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/112886Giner, Sergio Adrian; Mascheroni, Rodolfo Horacio; Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution; Academic Press; Journal Of Agricultural Engineering Research; 80; 4; 12-2001; 351-3640021-8634CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.1006/jaer.2001.0753info:eu-repo/semantics/altIdentifier/url/https://tinyurl.com/y25gyxquinfo:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T14:25:51Zoai:ri.conicet.gov.ar:11336/112886instacron:CONICETInstitucionalhttp://ri.conicet.gov.ar/Organismo científico-tecnológicoNo correspondehttp://ri.conicet.gov.ar/oai/requestdasensio@conicet.gov.ar; lcarlino@conicet.gov.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:34982025-10-15 14:25:51.749CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
title Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
spellingShingle Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
Giner, Sergio Adrian
Kernel drying
Diffusion coefficient
Model
title_short Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
title_full Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
title_fullStr Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
title_full_unstemmed Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
title_sort Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution
dc.creator.none.fl_str_mv Giner, Sergio Adrian
Mascheroni, Rodolfo Horacio
author Giner, Sergio Adrian
author_facet Giner, Sergio Adrian
Mascheroni, Rodolfo Horacio
author_role author
author2 Mascheroni, Rodolfo Horacio
author2_role author
dc.subject.none.fl_str_mv Kernel drying
Diffusion coefficient
Model
topic Kernel drying
Diffusion coefficient
Model
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.11
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv Mathematical models for kernel drying predict grain-air mass and heat transfer rates, and the faster and more accurately they can do this the better, especially in simulation-based design and control. Few publications used the simplified analytical solution of the diffusion equation for 'short times' based on semi-infinite medium concepts, which is simpler and as accurate as the exact infinite series though it still awaits its place in determining diffusion coefficients. The drying background of wheat and similarly sized grains was reanalysed because assumptions that could not apply to larger grains may be valid for smaller ones to justify analytical solutions. Reliable Biot numbers were calculated to be some 0.5 for heat transfer and 50-3000 (internal control) for mass transfer. Despite heat transfer which individually may or may not be considered to be controlled externally, the grain thermal-to-moisture diffusivity ratio was about 6000, making heat transfer instantaneous compared with mass transfer. To corroborate these indicators, the complete heat conduction - moisture diffusion problem was numerically solved, and the predictions showed, precisely, that analytical solutions may be used to estimate diffusion coefficients in wheat. Then, the steps leading to this overlooked simplified diffusive equation were revised in the light of current knowledge to show how computing time can be saved without loss of accuracy.
Fil: Giner, Sergio Adrian. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería; Argentina
Fil: Mascheroni, Rodolfo Horacio. Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - La Plata. Centro de Investigación y Desarrollo en Criotecnología de Alimentos. Universidad Nacional de La Plata. Facultad de Ciencias Exactas. Centro de Investigación y Desarrollo en Criotecnología de Alimentos; Argentina. Universidad Nacional de La Plata. Facultad de Ingeniería; Argentina
description Mathematical models for kernel drying predict grain-air mass and heat transfer rates, and the faster and more accurately they can do this the better, especially in simulation-based design and control. Few publications used the simplified analytical solution of the diffusion equation for 'short times' based on semi-infinite medium concepts, which is simpler and as accurate as the exact infinite series though it still awaits its place in determining diffusion coefficients. The drying background of wheat and similarly sized grains was reanalysed because assumptions that could not apply to larger grains may be valid for smaller ones to justify analytical solutions. Reliable Biot numbers were calculated to be some 0.5 for heat transfer and 50-3000 (internal control) for mass transfer. Despite heat transfer which individually may or may not be considered to be controlled externally, the grain thermal-to-moisture diffusivity ratio was about 6000, making heat transfer instantaneous compared with mass transfer. To corroborate these indicators, the complete heat conduction - moisture diffusion problem was numerically solved, and the predictions showed, precisely, that analytical solutions may be used to estimate diffusion coefficients in wheat. Then, the steps leading to this overlooked simplified diffusive equation were revised in the light of current knowledge to show how computing time can be saved without loss of accuracy.
publishDate 2001
dc.date.none.fl_str_mv 2001-12
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
http://purl.org/coar/resource_type/c_6501
info:ar-repo/semantics/articulo
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv http://hdl.handle.net/11336/112886
Giner, Sergio Adrian; Mascheroni, Rodolfo Horacio; Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution; Academic Press; Journal Of Agricultural Engineering Research; 80; 4; 12-2001; 351-364
0021-8634
CONICET Digital
CONICET
url http://hdl.handle.net/11336/112886
identifier_str_mv Giner, Sergio Adrian; Mascheroni, Rodolfo Horacio; Diffusive Drying Kinetics in Wheat, Part 1: Potential for a Simplified Analytical Solution; Academic Press; Journal Of Agricultural Engineering Research; 80; 4; 12-2001; 351-364
0021-8634
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.1006/jaer.2001.0753
info:eu-repo/semantics/altIdentifier/url/https://tinyurl.com/y25gyxqu
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Academic Press
publisher.none.fl_str_mv Academic Press
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instname:Consejo Nacional de Investigaciones Científicas y Técnicas
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