A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals

This study developed a theoretical model for the determination of the Coke Anisotropy Quotient (CAQ) of semi-coke from the properties of its precursor coal. This is an useful parameter to define the resistance and reactivity of semi-coke in the blast furnace. For 36 semi-coke samples, a textural ana...

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Autores:
Romero-Salcedo, Eliana
Manosalva-Sánchez, Sandra
Naranjo-Merchán, Wilson
García-Cabrejo, Oscar
Bermúdez, Mauricio A
Gómez-Neita, Juan
Tipo de recurso:
Fecha de publicación:
2020
Institución:
Universidad EAFIT
Repositorio:
Repositorio EAFIT
Idioma:
spa
OAI Identifier:
oai:repository.eafit.edu.co:10784/25807
Acceso en línea:
http://hdl.handle.net/10784/25807
Palabra clave:
Coal
coke anisotropy quotient (CAQ)
semi-coke
Principal Component Analysis (PCA)
textural component
ColombiaEastern Cordillera
Carbones
Coeficiente de anisotropía del coque (CAQ)
semicoque
componentes texturales
Cordillera Oriental de Colombia
Rights
openAccess
License
Acceso abierto
id REPOEAFIT2_98ea64d5e209571eadd39305dae33e0d
oai_identifier_str oai:repository.eafit.edu.co:10784/25807
network_acronym_str REPOEAFIT2
network_name_str Repositorio EAFIT
repository_id_str
dc.title.eng.fl_str_mv A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
dc.title.spa.fl_str_mv Modelo predictivo del índice de anisotropía delsemicoque a partir de las propiedades de loscarbones de la Cordillera Oriental de Colombia
title A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
spellingShingle A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
Coal
coke anisotropy quotient (CAQ)
semi-coke
Principal Component Analysis (PCA)
textural component
ColombiaEastern Cordillera
Carbones
Coeficiente de anisotropía del coque (CAQ)
semicoque
componentes texturales
Cordillera Oriental de Colombia
title_short A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
title_full A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
title_fullStr A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
title_full_unstemmed A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
title_sort A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera Coals
dc.creator.fl_str_mv Romero-Salcedo, Eliana
Manosalva-Sánchez, Sandra
Naranjo-Merchán, Wilson
García-Cabrejo, Oscar
Bermúdez, Mauricio A
Gómez-Neita, Juan
dc.contributor.author.spa.fl_str_mv Romero-Salcedo, Eliana
Manosalva-Sánchez, Sandra
Naranjo-Merchán, Wilson
García-Cabrejo, Oscar
Bermúdez, Mauricio A
Gómez-Neita, Juan
dc.contributor.affiliation.spa.fl_str_mv Universidad Pedagógica y Tecnológica de Colombia
dc.subject.keyword.eng.fl_str_mv Coal
coke anisotropy quotient (CAQ)
semi-coke
Principal Component Analysis (PCA)
textural component
ColombiaEastern Cordillera
topic Coal
coke anisotropy quotient (CAQ)
semi-coke
Principal Component Analysis (PCA)
textural component
ColombiaEastern Cordillera
Carbones
Coeficiente de anisotropía del coque (CAQ)
semicoque
componentes texturales
Cordillera Oriental de Colombia
dc.subject.keyword.spa.fl_str_mv Carbones
Coeficiente de anisotropía del coque (CAQ)
semicoque
componentes texturales
Cordillera Oriental de Colombia
description This study developed a theoretical model for the determination of the Coke Anisotropy Quotient (CAQ) of semi-coke from the properties of its precursor coal. This is an useful parameter to define the resistance and reactivity of semi-coke in the blast furnace. For 36 semi-coke samples, a textural analysis was performed alongside a fluidity test to determine the real CAQ. The main textures observed were: isotropic and circular for high volatile bituminous coals (HVB); lenticular and fine ribbons for the medium volatile bituminous coals (MVB); and medium and thick ribbons for the low volatile bituminous coals (LVB). The CAQ varied in a range from 1 to 11. A principal component analysis (PCA) and multiple regression allowed to discriminated the importance of certain coal properties, in determining the CAQ to be recognized and to estimate parameters of the mathematical model. The statistical analysis suggested that CAQ can be best predicted from the fluidity, volatile matter, and Ro of the parent coals. The veracity of this model result was then tested using a second dataset from Poland. This work optimizes the usefulness of standard datasets in the prediction of CAQ's offering a means of quality control that could be implemented in Colombian coke production.
publishDate 2020
dc.date.issued.none.fl_str_mv 2020-11-11
dc.date.available.none.fl_str_mv 2021-02-19T16:41:44Z
dc.date.accessioned.none.fl_str_mv 2021-02-19T16:41:44Z
dc.date.none.fl_str_mv 2020-11-11
dc.type.eng.fl_str_mv article
info:eu-repo/semantics/article
publishedVersion
info:eu-repo/semantics/publishedVersion
dc.type.coarversion.fl_str_mv http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/resource_type/c_2df8fbb1
dc.type.local.spa.fl_str_mv Artículo
status_str publishedVersion
dc.identifier.issn.none.fl_str_mv 1794-9165
dc.identifier.uri.none.fl_str_mv http://hdl.handle.net/10784/25807
identifier_str_mv 1794-9165
url http://hdl.handle.net/10784/25807
dc.language.iso.none.fl_str_mv spa
language spa
dc.relation.isversionof.none.fl_str_mv https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6435/5063
dc.relation.uri.none.fl_str_mv https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6435/5063
dc.rights.coar.fl_str_mv http://purl.org/coar/access_right/c_abf2
dc.rights.accessrights.eng.fl_str_mv info:eu-repo/semantics/openAccess
dc.rights.local.spa.fl_str_mv Acceso abierto
eu_rights_str_mv openAccess
rights_invalid_str_mv Acceso abierto
http://purl.org/coar/access_right/c_abf2
dc.format.none.fl_str_mv application/pdf
dc.coverage.spatial.none.fl_str_mv Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees
dc.publisher.spa.fl_str_mv Universidad EAFIT
dc.source.spa.fl_str_mv Revista Ingeniería y Ciencias, Vol. 16 Núm. 32 (2020)
institution Universidad EAFIT
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spelling Medellín de: Lat: 06 15 00 N degrees minutes Lat: 6.2500 decimal degrees Long: 075 36 00 W degrees minutes Long: -75.6000 decimal degrees2020-11-112021-02-19T16:41:44Z2020-11-112021-02-19T16:41:44Z1794-9165http://hdl.handle.net/10784/25807This study developed a theoretical model for the determination of the Coke Anisotropy Quotient (CAQ) of semi-coke from the properties of its precursor coal. This is an useful parameter to define the resistance and reactivity of semi-coke in the blast furnace. For 36 semi-coke samples, a textural analysis was performed alongside a fluidity test to determine the real CAQ. The main textures observed were: isotropic and circular for high volatile bituminous coals (HVB); lenticular and fine ribbons for the medium volatile bituminous coals (MVB); and medium and thick ribbons for the low volatile bituminous coals (LVB). The CAQ varied in a range from 1 to 11. A principal component analysis (PCA) and multiple regression allowed to discriminated the importance of certain coal properties, in determining the CAQ to be recognized and to estimate parameters of the mathematical model. The statistical analysis suggested that CAQ can be best predicted from the fluidity, volatile matter, and Ro of the parent coals. The veracity of this model result was then tested using a second dataset from Poland. This work optimizes the usefulness of standard datasets in the prediction of CAQ's offering a means of quality control that could be implemented in Colombian coke production.En esta investigación se desarrolló un modelo teórico para la determinacióndel Cociente de Anisotropía del Coque (CAQ) del semicoque a partirde las propiedades de su carbón precursor. El CAQ permite definir laresistencia y la reactividad del semicoque en el alto horno. Usando materialresidual de las pruebas de fluidez se realizó un análisis textural paradeterminar el CAQ real sobre 36 muestras de semicoque. Las principalestexturas observadas para los carbones bituminosos fueron: isotrópicasy circulares para los de alta volatilidad (HVB); cintas lenticulares yfinas para los de media volatilidad (MVB); y cintas medias y gruesaspara los de baja volatilidad (LVB). El CAQ varió en un rango de 1a 11. Análisis de componentes principales (PCA) y regresión múltiplepermitieron reconocer la importancia de ciertas propiedades del carbónpara determinar el CAQ. El análisis estadístico sugirió que el CAQ puedepredecirse mejor a partir de la fluidez, la materia volátil y el Ro de los carbones precursores. Este modelo fue validado a través de la comparacióncon datos reales de carbones de Polonia. Este trabajo proporciona unmedio de control de calidad que podría implementarse en la producciónde coque colombiano.application/pdfspaUniversidad EAFIThttps://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6435/5063https://publicaciones.eafit.edu.co/index.php/ingciencia/article/view/6435/5063Copyright © 2020 Eliana Romero-Salcedo, Sandra Manosalva-Sánchez, Wilson Naranjo-Merchán, Oscar García-Cabrejo, Mauricio A Bermúdez, Juan Gómez-Neitainfo:eu-repo/semantics/openAccessAcceso abiertohttp://purl.org/coar/access_right/c_abf2Revista Ingeniería y Ciencias, Vol. 16 Núm. 32 (2020)A Predictive Model for the Anisotropy Index of Semi-Coke Derived from the Properties of Colombia's Eastern Cordillera CoalsModelo predictivo del índice de anisotropía delsemicoque a partir de las propiedades de loscarbones de la Cordillera Oriental de Colombiaarticleinfo:eu-repo/semantics/articlepublishedVersioninfo:eu-repo/semantics/publishedVersionArtículohttp://purl.org/coar/version/c_970fb48d4fbd8a85http://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Coalcoke anisotropy quotient (CAQ)semi-cokePrincipal Component Analysis (PCA)textural componentColombiaEastern CordilleraCarbonesCoeficiente de anisotropía del coque (CAQ)semicoquecomponentes texturalesCordillera Oriental de ColombiaRomero-Salcedo, ElianaManosalva-Sánchez, SandraNaranjo-Merchán, WilsonGarcía-Cabrejo, OscarBermúdez, Mauricio AGómez-Neita, JuanUniversidad Pedagógica y Tecnológica de ColombiaIngeniería y Ciencias1632109134THUMBNAILminaitura-ig_Mesa de trabajo 1.jpgminaitura-ig_Mesa de trabajo 1.jpgimage/jpeg265796https://repository.eafit.edu.co/bitstreams/c668a4e5-e89f-4420-b985-191966197e35/downloadda9b21a5c7e00c7f1127cef8e97035e0MD51ORIGINAL6435-Article Text-22600-3-10-20201114.pdf6435-Article Text-22600-3-10-20201114.pdfPDF Completoapplication/pdf4141814https://repository.eafit.edu.co/bitstreams/963900aa-166b-4e2d-a628-8959bcba87c0/download871438d176ea1f3a19ff588aa6c91269MD52articulo - copia (5).htmlarticulo - copia (5).htmlHTML Completotext/html375https://repository.eafit.edu.co/bitstreams/e890c5ee-2b58-4120-8f6e-82028593e93b/download43ca01355cdfbbd32a55c06fa2b08a09MD5310784/25807oai:repository.eafit.edu.co:10784/258072024-02-01 11:32:34.309open.accesshttps://repository.eafit.edu.coRepositorio Institucional Universidad EAFITrepositorio@eafit.edu.co