Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents

Autores
Maciel, Gisele; De La Torre, Diego; Cendoya, Maria Gabriela; Izquierdo, Natalia; Bartosik, Ricardo Enrique
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
Using the right equilibrium moisture content (EMC) relationship is critical for implementing successful aeration strategies and for determining the safe storage moisture content of grains and oilseeds. The oil content of sunflower seeds substantially affects the moisture equilibrium relationship, implying that a specific set of model parameters for each oil content range should be obtained. To overcome this practical limitation, the Enhanced Halsey model was developed incorporating a new parameter (D) to characterize the effect of oil content on the original Modified Halsey model. The constants A, B, C, and D of the model were obtained for a wide range of temperatures, moisture contents, and oil contents. The simplicity of the Enhanced Halsey model and the possibility of adapting EMC as a function of oil content make the Enhanced Halsey model valuable for engineering applications (e.g., aeration controllers) and for predicting the safe storage moisture content of seeds with different oil contents, such as sunflower.
EEA Balcarce
Fil: Maciel, Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: De la Torre, Diego Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Argentina.
Fil: Izquierdo, Natalia Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Bartosik, Ricardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fuente
Transactions of the ASABE 61 (4) : 1449-1456. (May 2018)
Materia
Composition
Grain
Oilseeds
Sortion
Relative Humidity
Storage
Quality
Granos
Semillas Oleaginosas
Sorción
Humedad Relativa
Almacenamiento
Calidad
Composición
Sunflower
Girasol
Nivel de accesibilidad
acceso restringido
Condiciones de uso
Repositorio
INTA Digital (INTA)
Institución
Instituto Nacional de Tecnología Agropecuaria
OAI Identificador
oai:localhost:20.500.12123/6326
Acceder
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oai_identifier_str oai:localhost:20.500.12123/6326
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network_name_str INTA Digital (INTA)
spelling Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contentsMaciel, GiseleDe La Torre, DiegoCendoya, Maria GabrielaIzquierdo, NataliaBartosik, Ricardo EnriqueCompositionGrainOilseedsSortionRelative HumidityStorageQualityGranosSemillas OleaginosasSorciónHumedad RelativaAlmacenamientoCalidadComposiciónSunflowerGirasolUsing the right equilibrium moisture content (EMC) relationship is critical for implementing successful aeration strategies and for determining the safe storage moisture content of grains and oilseeds. The oil content of sunflower seeds substantially affects the moisture equilibrium relationship, implying that a specific set of model parameters for each oil content range should be obtained. To overcome this practical limitation, the Enhanced Halsey model was developed incorporating a new parameter (D) to characterize the effect of oil content on the original Modified Halsey model. The constants A, B, C, and D of the model were obtained for a wide range of temperatures, moisture contents, and oil contents. The simplicity of the Enhanced Halsey model and the possibility of adapting EMC as a function of oil content make the Enhanced Halsey model valuable for engineering applications (e.g., aeration controllers) and for predicting the safe storage moisture content of seeds with different oil contents, such as sunflower.EEA BalcarceFil: Maciel, Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: De la Torre, Diego Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; ArgentinaFil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Argentina.Fil: Izquierdo, Natalia Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.Fil: Bartosik, Ricardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.American Society of Agricultural and Biological Engineers2019-11-19T12:59:14Z2019-11-19T12:59:14Z2018-05info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfhttps://elibrary.asabe.org/abstract.asp?AID=49580&t=3&dabs=Y&redir=&redirType=http://hdl.handle.net/20.500.12123/63262151-00322151-0040 (Online)https://doi.org/10.13031/trans.12773Transactions of the ASABE 61 (4) : 1449-1456. (May 2018)reponame:INTA Digital (INTA)instname:Instituto Nacional de Tecnología Agropecuariaenginfo:eu-repo/semantics/restrictedAccess2025-09-29T13:44:49Zoai:localhost:20.500.12123/6326instacron:INTAInstitucionalhttp://repositorio.inta.gob.ar/Organismo científico-tecnológicoNo correspondehttp://repositorio.inta.gob.ar/oai/requesttripaldi.nicolas@inta.gob.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:l2025-09-29 13:44:49.939INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuariafalse
dc.title.none.fl_str_mv Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
title Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
spellingShingle Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
Maciel, Gisele
Composition
Grain
Oilseeds
Sortion
Relative Humidity
Storage
Quality
Granos
Semillas Oleaginosas
Sorción
Humedad Relativa
Almacenamiento
Calidad
Composición
Sunflower
Girasol
title_short Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
title_full Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
title_fullStr Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
title_full_unstemmed Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
title_sort Development of the enhanced halsey model to predict equilibrium moisture content (EMC) of sunflower seeds with different oil contents
dc.creator.none.fl_str_mv Maciel, Gisele
De La Torre, Diego
Cendoya, Maria Gabriela
Izquierdo, Natalia
Bartosik, Ricardo Enrique
author Maciel, Gisele
author_facet Maciel, Gisele
De La Torre, Diego
Cendoya, Maria Gabriela
Izquierdo, Natalia
Bartosik, Ricardo Enrique
author_role author
author2 De La Torre, Diego
Cendoya, Maria Gabriela
Izquierdo, Natalia
Bartosik, Ricardo Enrique
author2_role author
author
author
author
dc.subject.none.fl_str_mv Composition
Grain
Oilseeds
Sortion
Relative Humidity
Storage
Quality
Granos
Semillas Oleaginosas
Sorción
Humedad Relativa
Almacenamiento
Calidad
Composición
Sunflower
Girasol
topic Composition
Grain
Oilseeds
Sortion
Relative Humidity
Storage
Quality
Granos
Semillas Oleaginosas
Sorción
Humedad Relativa
Almacenamiento
Calidad
Composición
Sunflower
Girasol
dc.description.none.fl_txt_mv Using the right equilibrium moisture content (EMC) relationship is critical for implementing successful aeration strategies and for determining the safe storage moisture content of grains and oilseeds. The oil content of sunflower seeds substantially affects the moisture equilibrium relationship, implying that a specific set of model parameters for each oil content range should be obtained. To overcome this practical limitation, the Enhanced Halsey model was developed incorporating a new parameter (D) to characterize the effect of oil content on the original Modified Halsey model. The constants A, B, C, and D of the model were obtained for a wide range of temperatures, moisture contents, and oil contents. The simplicity of the Enhanced Halsey model and the possibility of adapting EMC as a function of oil content make the Enhanced Halsey model valuable for engineering applications (e.g., aeration controllers) and for predicting the safe storage moisture content of seeds with different oil contents, such as sunflower.
EEA Balcarce
Fil: Maciel, Gisele. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: De la Torre, Diego Antonio. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina
Fil: Cendoya, María Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Argentina.
Fil: Izquierdo, Natalia Gabriela. Universidad Nacional de Mar del Plata. Facultad de Ciencias Agrarias, Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
Fil: Bartosik, Ricardo. Instituto Nacional de Tecnología Agropecuaria (INTA). Estación Experimental Agropecuaria Balcarce; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina.
description Using the right equilibrium moisture content (EMC) relationship is critical for implementing successful aeration strategies and for determining the safe storage moisture content of grains and oilseeds. The oil content of sunflower seeds substantially affects the moisture equilibrium relationship, implying that a specific set of model parameters for each oil content range should be obtained. To overcome this practical limitation, the Enhanced Halsey model was developed incorporating a new parameter (D) to characterize the effect of oil content on the original Modified Halsey model. The constants A, B, C, and D of the model were obtained for a wide range of temperatures, moisture contents, and oil contents. The simplicity of the Enhanced Halsey model and the possibility of adapting EMC as a function of oil content make the Enhanced Halsey model valuable for engineering applications (e.g., aeration controllers) and for predicting the safe storage moisture content of seeds with different oil contents, such as sunflower.
publishDate 2018
dc.date.none.fl_str_mv 2018-05
2019-11-19T12:59:14Z
2019-11-19T12:59:14Z
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 https://elibrary.asabe.org/abstract.asp?AID=49580&t=3&dabs=Y&redir=&redirType=
http://hdl.handle.net/20.500.12123/6326
2151-0032
2151-0040 (Online)
https://doi.org/10.13031/trans.12773
url https://elibrary.asabe.org/abstract.asp?AID=49580&t=3&dabs=Y&redir=&redirType=
http://hdl.handle.net/20.500.12123/6326
https://doi.org/10.13031/trans.12773
identifier_str_mv 2151-0032
2151-0040 (Online)
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/restrictedAccess
eu_rights_str_mv restrictedAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv American Society of Agricultural and Biological Engineers
publisher.none.fl_str_mv American Society of Agricultural and Biological Engineers
dc.source.none.fl_str_mv Transactions of the ASABE 61 (4) : 1449-1456. (May 2018)
reponame:INTA Digital (INTA)
instname:Instituto Nacional de Tecnología Agropecuaria
reponame_str INTA Digital (INTA)
collection INTA Digital (INTA)
instname_str Instituto Nacional de Tecnología Agropecuaria
repository.name.fl_str_mv INTA Digital (INTA) - Instituto Nacional de Tecnología Agropecuaria
repository.mail.fl_str_mv tripaldi.nicolas@inta.gob.ar
_version_ 1844619139674537984
score 12.559606

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