A refractory wear predictive model developed for BOF converters

Autores
Brandaleze, Elena; Torresi Domínguez, Ulises; Santini, Leandro Matias
Año de publicación
2018
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
In order to contribute to the experience of the BOF operators, related with the wear of the refractory lining, a Wear Predictive Model (WPM) was developed. It is based on the database of many measurements made using a laser scanner. Not only this WPM model could be consider as a tool that supports decision such as doing a gunning repair or not, but also as guide to analyze changes in the initial refractory lining that led to a performance increase or cost reduction, for instance. The wear rate of MgO-C refractory lining depends on the material itself and the different erosive and corrosive agents present during the process. This WPM was developed in a BOF that do not operates with sublance, therefore the areas have been defined as the most critical ones are: barrel (B), tapping area (T), slag lines (horizontal (SLh), vertical (SLv) and the crossing of both (SLc)) and trunnions (T). The results obtained after several scans along many lining campaigns have been tabulated for a subsequent analysis. As output of this statistic WPM, curves with minimum and maximum thickness have been drawn. These curves show two main areas: secure work (WS) operation area and risky work (WR) operation area. It is possible to define the impact of different operating parameters as well. Keywords: Converter, refractory, wear, predictive model.
Fil: Brandaleze, Elena. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Torresi Domínguez, Ulises. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Santini, Leandro Matias. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina
Materia
CONVERTER
REFRACTORY
WEAR
PREDICTIVE MODEL
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/101571
Acceder
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oai_identifier_str oai:ri.conicet.gov.ar:11336/101571
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling A refractory wear predictive model developed for BOF convertersBrandaleze, ElenaTorresi Domínguez, UlisesSantini, Leandro MatiasCONVERTERREFRACTORYWEARPREDICTIVE MODELhttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2https://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2In order to contribute to the experience of the BOF operators, related with the wear of the refractory lining, a Wear Predictive Model (WPM) was developed. It is based on the database of many measurements made using a laser scanner. Not only this WPM model could be consider as a tool that supports decision such as doing a gunning repair or not, but also as guide to analyze changes in the initial refractory lining that led to a performance increase or cost reduction, for instance. The wear rate of MgO-C refractory lining depends on the material itself and the different erosive and corrosive agents present during the process. This WPM was developed in a BOF that do not operates with sublance, therefore the areas have been defined as the most critical ones are: barrel (B), tapping area (T), slag lines (horizontal (SLh), vertical (SLv) and the crossing of both (SLc)) and trunnions (T). The results obtained after several scans along many lining campaigns have been tabulated for a subsequent analysis. As output of this statistic WPM, curves with minimum and maximum thickness have been drawn. These curves show two main areas: secure work (WS) operation area and risky work (WR) operation area. It is possible to define the impact of different operating parameters as well. Keywords: Converter, refractory, wear, predictive model.Fil: Brandaleze, Elena. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Torresi Domínguez, Ulises. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Santini, Leandro Matias. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; ArgentinaScholars Academic and Scientific Publisher2018-01info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/101571Brandaleze, Elena; Torresi Domínguez, Ulises; Santini, Leandro Matias; A refractory wear predictive model developed for BOF converters; Scholars Academic and Scientific Publisher; Scholars Journal of Engineering and Technology; 6; 1-2018; 7-132321-435X2347-9523CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/doi/10.21276/sjet.2018.6.1.2info:eu-repo/semantics/altIdentifier/url/http://saspublisher.com/sjet-61/info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-09-29T09:43:00Zoai:ri.conicet.gov.ar:11336/101571instacron: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 09:43:00.265CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv A refractory wear predictive model developed for BOF converters
title A refractory wear predictive model developed for BOF converters
spellingShingle A refractory wear predictive model developed for BOF converters
Brandaleze, Elena
CONVERTER
REFRACTORY
WEAR
PREDICTIVE MODEL
title_short A refractory wear predictive model developed for BOF converters
title_full A refractory wear predictive model developed for BOF converters
title_fullStr A refractory wear predictive model developed for BOF converters
title_full_unstemmed A refractory wear predictive model developed for BOF converters
title_sort A refractory wear predictive model developed for BOF converters
dc.creator.none.fl_str_mv Brandaleze, Elena
Torresi Domínguez, Ulises
Santini, Leandro Matias
author Brandaleze, Elena
author_facet Brandaleze, Elena
Torresi Domínguez, Ulises
Santini, Leandro Matias
author_role author
author2 Torresi Domínguez, Ulises
Santini, Leandro Matias
author2_role author
author
dc.subject.none.fl_str_mv CONVERTER
REFRACTORY
WEAR
PREDICTIVE MODEL
topic CONVERTER
REFRACTORY
WEAR
PREDICTIVE MODEL
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv In order to contribute to the experience of the BOF operators, related with the wear of the refractory lining, a Wear Predictive Model (WPM) was developed. It is based on the database of many measurements made using a laser scanner. Not only this WPM model could be consider as a tool that supports decision such as doing a gunning repair or not, but also as guide to analyze changes in the initial refractory lining that led to a performance increase or cost reduction, for instance. The wear rate of MgO-C refractory lining depends on the material itself and the different erosive and corrosive agents present during the process. This WPM was developed in a BOF that do not operates with sublance, therefore the areas have been defined as the most critical ones are: barrel (B), tapping area (T), slag lines (horizontal (SLh), vertical (SLv) and the crossing of both (SLc)) and trunnions (T). The results obtained after several scans along many lining campaigns have been tabulated for a subsequent analysis. As output of this statistic WPM, curves with minimum and maximum thickness have been drawn. These curves show two main areas: secure work (WS) operation area and risky work (WR) operation area. It is possible to define the impact of different operating parameters as well. Keywords: Converter, refractory, wear, predictive model.
Fil: Brandaleze, Elena. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Torresi Domínguez, Ulises. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Santini, Leandro Matias. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina. Universidad Tecnológica Nacional. Facultad Regional San Nicolás. Centro para el Desarrollo Tecnológico de Materiales; Argentina
description In order to contribute to the experience of the BOF operators, related with the wear of the refractory lining, a Wear Predictive Model (WPM) was developed. It is based on the database of many measurements made using a laser scanner. Not only this WPM model could be consider as a tool that supports decision such as doing a gunning repair or not, but also as guide to analyze changes in the initial refractory lining that led to a performance increase or cost reduction, for instance. The wear rate of MgO-C refractory lining depends on the material itself and the different erosive and corrosive agents present during the process. This WPM was developed in a BOF that do not operates with sublance, therefore the areas have been defined as the most critical ones are: barrel (B), tapping area (T), slag lines (horizontal (SLh), vertical (SLv) and the crossing of both (SLc)) and trunnions (T). The results obtained after several scans along many lining campaigns have been tabulated for a subsequent analysis. As output of this statistic WPM, curves with minimum and maximum thickness have been drawn. These curves show two main areas: secure work (WS) operation area and risky work (WR) operation area. It is possible to define the impact of different operating parameters as well. Keywords: Converter, refractory, wear, predictive model.
publishDate 2018
dc.date.none.fl_str_mv 2018-01
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/11336/101571
Brandaleze, Elena; Torresi Domínguez, Ulises; Santini, Leandro Matias; A refractory wear predictive model developed for BOF converters; Scholars Academic and Scientific Publisher; Scholars Journal of Engineering and Technology; 6; 1-2018; 7-13
2321-435X
2347-9523
CONICET Digital
CONICET
url http://hdl.handle.net/11336/101571
identifier_str_mv Brandaleze, Elena; Torresi Domínguez, Ulises; Santini, Leandro Matias; A refractory wear predictive model developed for BOF converters; Scholars Academic and Scientific Publisher; Scholars Journal of Engineering and Technology; 6; 1-2018; 7-13
2321-435X
2347-9523
CONICET Digital
CONICET
dc.language.none.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv info:eu-repo/semantics/altIdentifier/doi/10.21276/sjet.2018.6.1.2
info:eu-repo/semantics/altIdentifier/url/http://saspublisher.com/sjet-61/
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
https://creativecommons.org/licenses/by-nc/2.5/ar/
eu_rights_str_mv openAccess
rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/2.5/ar/
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Scholars Academic and Scientific Publisher
publisher.none.fl_str_mv Scholars Academic and Scientific Publisher
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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score 13.070432

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