Simulation of the Classification of Manufactured Sands in the Throat Air Classifier
- Autores
- Petit, Andres; Irassar, Edgardo Fabián
- Año de publicación
- 2023
- Idioma
- inglés
- Tipo de recurso
- artículo
- Estado
- versión publicada
- Descripción
- The scarcity of natural sands has triggered a considerable increase in theconsumption of manufactured sands for concrete production. In this regard,the flakiness of the particles and the excess of fines are the main problems thatshould be addressed when utilizing manufactured sands. The throat classifier isan air classifier designed for the elimination of fine particles (smaller than 75micrometers) from manufactured sands. The main features of the classifier havebeen presented in the literature but the mechanism that drives the classificationhas not been studied in detail. Therefore, this work explores the mechanismof classification of the throat classifier by using CFD-DPM and CFD-DEMsimulations. The accuracy and limitations of the methodologies were evaluatedby comparing the results against experimental data obtained at pilot scale.The simulations presented fair results in the representation of the airflow andthe particle classification inside the throat classifier. Differences between thepredictions using the CFD-DPM and the CFD-DEM methodologies under thesimulated conditions were found to be negligible. The results of the simulationsallowed for a more detailed understanding of the classification mechanismthat occurs inside the device and the influence of operational variables on theequipment performance.
Fil: Petit, Andres. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina
Fil: Irassar, Edgardo Fabián. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina - Materia
-
Manufactured sands
Air classification
CFD-DEM
Stone dust - Nivel de accesibilidad
- acceso abierto
- Condiciones de uso
- https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
- Repositorio
- Institución
- Consejo Nacional de Investigaciones Científicas y Técnicas
- OAI Identificador
- oai:ri.conicet.gov.ar:11336/255845
Ver los metadatos del registro completo
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Simulation of the Classification of Manufactured Sands in the Throat Air ClassifierPetit, AndresIrassar, Edgardo FabiánManufactured sandsAir classificationCFD-DEMStone dusthttps://purl.org/becyt/ford/2.4https://purl.org/becyt/ford/2The scarcity of natural sands has triggered a considerable increase in theconsumption of manufactured sands for concrete production. In this regard,the flakiness of the particles and the excess of fines are the main problems thatshould be addressed when utilizing manufactured sands. The throat classifier isan air classifier designed for the elimination of fine particles (smaller than 75micrometers) from manufactured sands. The main features of the classifier havebeen presented in the literature but the mechanism that drives the classificationhas not been studied in detail. Therefore, this work explores the mechanismof classification of the throat classifier by using CFD-DPM and CFD-DEMsimulations. The accuracy and limitations of the methodologies were evaluatedby comparing the results against experimental data obtained at pilot scale.The simulations presented fair results in the representation of the airflow andthe particle classification inside the throat classifier. Differences between thepredictions using the CFD-DPM and the CFD-DEM methodologies under thesimulated conditions were found to be negligible. The results of the simulationsallowed for a more detailed understanding of the classification mechanismthat occurs inside the device and the influence of operational variables on theequipment performance.Fil: Petit, Andres. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; ArgentinaFil: Irassar, Edgardo Fabián. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; ArgentinaHosokawa Powder Technol Foundation2023-06info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/255845Petit, Andres; Irassar, Edgardo Fabián; Simulation of the Classification of Manufactured Sands in the Throat Air Classifier; Hosokawa Powder Technol Foundation; Kona; 41; 0; 6-2023; 242-2530288-4534CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.jstage.jst.go.jp/article/kona/advpub/0/advpub_2024006/_articleinfo:eu-repo/semantics/altIdentifier/doi/10.14356/kona.2024006info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:45:48Zoai:ri.conicet.gov.ar:11336/255845instacron: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:34982025-09-29 09:45:48.814CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse |
dc.title.none.fl_str_mv |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier |
title |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier |
spellingShingle |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier Petit, Andres Manufactured sands Air classification CFD-DEM Stone dust |
title_short |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier |
title_full |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier |
title_fullStr |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier |
title_full_unstemmed |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier |
title_sort |
Simulation of the Classification of Manufactured Sands in the Throat Air Classifier |
dc.creator.none.fl_str_mv |
Petit, Andres Irassar, Edgardo Fabián |
author |
Petit, Andres |
author_facet |
Petit, Andres Irassar, Edgardo Fabián |
author_role |
author |
author2 |
Irassar, Edgardo Fabián |
author2_role |
author |
dc.subject.none.fl_str_mv |
Manufactured sands Air classification CFD-DEM Stone dust |
topic |
Manufactured sands Air classification CFD-DEM Stone dust |
purl_subject.fl_str_mv |
https://purl.org/becyt/ford/2.4 https://purl.org/becyt/ford/2 |
dc.description.none.fl_txt_mv |
The scarcity of natural sands has triggered a considerable increase in theconsumption of manufactured sands for concrete production. In this regard,the flakiness of the particles and the excess of fines are the main problems thatshould be addressed when utilizing manufactured sands. The throat classifier isan air classifier designed for the elimination of fine particles (smaller than 75micrometers) from manufactured sands. The main features of the classifier havebeen presented in the literature but the mechanism that drives the classificationhas not been studied in detail. Therefore, this work explores the mechanismof classification of the throat classifier by using CFD-DPM and CFD-DEMsimulations. The accuracy and limitations of the methodologies were evaluatedby comparing the results against experimental data obtained at pilot scale.The simulations presented fair results in the representation of the airflow andthe particle classification inside the throat classifier. Differences between thepredictions using the CFD-DPM and the CFD-DEM methodologies under thesimulated conditions were found to be negligible. The results of the simulationsallowed for a more detailed understanding of the classification mechanismthat occurs inside the device and the influence of operational variables on theequipment performance. Fil: Petit, Andres. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina Fil: Irassar, Edgardo Fabián. Universidad Nacional del Centro de la Provincia de Buenos Aires. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Tandil. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires. - Provincia de Buenos Aires. Gobernación. Comisión de Investigaciones Científicas. Centro de Investigaciones en Física e Ingeniería del Centro de la Provincia de Buenos Aires; Argentina |
description |
The scarcity of natural sands has triggered a considerable increase in theconsumption of manufactured sands for concrete production. In this regard,the flakiness of the particles and the excess of fines are the main problems thatshould be addressed when utilizing manufactured sands. The throat classifier isan air classifier designed for the elimination of fine particles (smaller than 75micrometers) from manufactured sands. The main features of the classifier havebeen presented in the literature but the mechanism that drives the classificationhas not been studied in detail. Therefore, this work explores the mechanismof classification of the throat classifier by using CFD-DPM and CFD-DEMsimulations. The accuracy and limitations of the methodologies were evaluatedby comparing the results against experimental data obtained at pilot scale.The simulations presented fair results in the representation of the airflow andthe particle classification inside the throat classifier. Differences between thepredictions using the CFD-DPM and the CFD-DEM methodologies under thesimulated conditions were found to be negligible. The results of the simulationsallowed for a more detailed understanding of the classification mechanismthat occurs inside the device and the influence of operational variables on theequipment performance. |
publishDate |
2023 |
dc.date.none.fl_str_mv |
2023-06 |
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/11336/255845 Petit, Andres; Irassar, Edgardo Fabián; Simulation of the Classification of Manufactured Sands in the Throat Air Classifier; Hosokawa Powder Technol Foundation; Kona; 41; 0; 6-2023; 242-253 0288-4534 CONICET Digital CONICET |
url |
http://hdl.handle.net/11336/255845 |
identifier_str_mv |
Petit, Andres; Irassar, Edgardo Fabián; Simulation of the Classification of Manufactured Sands in the Throat Air Classifier; Hosokawa Powder Technol Foundation; Kona; 41; 0; 6-2023; 242-253 0288-4534 CONICET Digital CONICET |
dc.language.none.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
info:eu-repo/semantics/altIdentifier/url/https://www.jstage.jst.go.jp/article/kona/advpub/0/advpub_2024006/_article info:eu-repo/semantics/altIdentifier/doi/10.14356/kona.2024006 |
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 |
Hosokawa Powder Technol Foundation |
publisher.none.fl_str_mv |
Hosokawa Powder Technol Foundation |
dc.source.none.fl_str_mv |
reponame:CONICET Digital (CONICET) instname:Consejo Nacional de Investigaciones Científicas y Técnicas |
reponame_str |
CONICET Digital (CONICET) |
collection |
CONICET Digital (CONICET) |
instname_str |
Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.name.fl_str_mv |
CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicas |
repository.mail.fl_str_mv |
dasensio@conicet.gov.ar; lcarlino@conicet.gov.ar |
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1844613432101306368 |
score |
13.070432 |