Correlation methods in cutting arcs

Autores
Prevosto, Leandro; Kelly, Héctor
Año de publicación
2011
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
The present work applies similarity theory to the plasma emanating from transferred arc, gas-vortex stabilized plasma cutting torches, to analyze the existing correlation between the arc temperature and the physical parameters of such torches. It has been found that the enthalpy number significantly influence the temperature of the electric arc. The obtained correlation shows an average deviation of 3 % from the temperature data points. Such correlation can be used, for instance, to predict changes in the peak value of the arc temperature at the nozzle exit of a geometrically similar cutting torch due to changes in its operation parameters.
Fil: Prevosto, Leandro. Universidad Tecnológica Nacional Facultad Regional Venado Tuerto. Grupo de Descargas Eléctricas. Departamento Ingeniería Electromecánica; Argentina.
Fil: Kelly, Héctor. CONICET. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física del Plasma; Argentina.
Peer Reviewed
Materia
physical
cutting arcs
plasma cutting torches
Nivel de accesibilidad
acceso abierto
Condiciones de uso
http://creativecommons.org/licenses/by-nc-nd/4.0/
Repositorio
Repositorio Institucional Abierto (UTN)
Institución
Universidad Tecnológica Nacional
OAI Identificador
oai:ria.utn.edu.ar:20.500.12272/2263
Acceder
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network_acronym_str RIAUTN
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network_name_str Repositorio Institucional Abierto (UTN)
spelling Correlation methods in cutting arcsPrevosto, LeandroKelly, Héctorphysicalcutting arcsplasma cutting torchesThe present work applies similarity theory to the plasma emanating from transferred arc, gas-vortex stabilized plasma cutting torches, to analyze the existing correlation between the arc temperature and the physical parameters of such torches. It has been found that the enthalpy number significantly influence the temperature of the electric arc. The obtained correlation shows an average deviation of 3 % from the temperature data points. Such correlation can be used, for instance, to predict changes in the peak value of the arc temperature at the nozzle exit of a geometrically similar cutting torch due to changes in its operation parameters.Fil: Prevosto, Leandro. Universidad Tecnológica Nacional Facultad Regional Venado Tuerto. Grupo de Descargas Eléctricas. Departamento Ingeniería Electromecánica; Argentina.Fil: Kelly, Héctor. CONICET. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física del Plasma; Argentina.Peer ReviewedIOPscience2017-11-01T19:29:21Z2017-11-01T19:29:21Z2011-05-25info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfhttp://hdl.handle.net/20.500.12272/2263enginfo:eu-repo/semantics/openAccesshttp://creativecommons.org/licenses/by-nc-nd/4.0/Licencia Creative Commons. CC - BY - NC - NDAttribution-NonCommercial-NoDerivatives 4.0 Internacionalreponame:Repositorio Institucional Abierto (UTN)instname:Universidad Tecnológica Nacional2025-09-04T11:14:32Zoai:ria.utn.edu.ar:20.500.12272/2263instacron:UTNInstitucionalhttp://ria.utn.edu.ar/Universidad públicaNo correspondehttp://ria.utn.edu.ar/oaigestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.arArgentinaNo correspondeNo correspondeNo correspondeopendoar:a2025-09-04 11:14:32.827Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacionalfalse
dc.title.none.fl_str_mv Correlation methods in cutting arcs
title Correlation methods in cutting arcs
spellingShingle Correlation methods in cutting arcs
Prevosto, Leandro
physical
cutting arcs
plasma cutting torches
title_short Correlation methods in cutting arcs
title_full Correlation methods in cutting arcs
title_fullStr Correlation methods in cutting arcs
title_full_unstemmed Correlation methods in cutting arcs
title_sort Correlation methods in cutting arcs
dc.creator.none.fl_str_mv Prevosto, Leandro
Kelly, Héctor
author Prevosto, Leandro
author_facet Prevosto, Leandro
Kelly, Héctor
author_role author
author2 Kelly, Héctor
author2_role author
dc.subject.none.fl_str_mv physical
cutting arcs
plasma cutting torches
topic physical
cutting arcs
plasma cutting torches
dc.description.none.fl_txt_mv The present work applies similarity theory to the plasma emanating from transferred arc, gas-vortex stabilized plasma cutting torches, to analyze the existing correlation between the arc temperature and the physical parameters of such torches. It has been found that the enthalpy number significantly influence the temperature of the electric arc. The obtained correlation shows an average deviation of 3 % from the temperature data points. Such correlation can be used, for instance, to predict changes in the peak value of the arc temperature at the nozzle exit of a geometrically similar cutting torch due to changes in its operation parameters.
Fil: Prevosto, Leandro. Universidad Tecnológica Nacional Facultad Regional Venado Tuerto. Grupo de Descargas Eléctricas. Departamento Ingeniería Electromecánica; Argentina.
Fil: Kelly, Héctor. CONICET. Universidad de Buenos Aires. Facultad de Ciencias Exactas y Naturales. Departamento de Física. Instituto de Física del Plasma; Argentina.
Peer Reviewed
description The present work applies similarity theory to the plasma emanating from transferred arc, gas-vortex stabilized plasma cutting torches, to analyze the existing correlation between the arc temperature and the physical parameters of such torches. It has been found that the enthalpy number significantly influence the temperature of the electric arc. The obtained correlation shows an average deviation of 3 % from the temperature data points. Such correlation can be used, for instance, to predict changes in the peak value of the arc temperature at the nozzle exit of a geometrically similar cutting torch due to changes in its operation parameters.
publishDate 2011
dc.date.none.fl_str_mv 2011-05-25
2017-11-01T19:29:21Z
2017-11-01T19:29:21Z
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/20.500.12272/2263
url http://hdl.handle.net/20.500.12272/2263
dc.language.none.fl_str_mv eng
language eng
dc.rights.none.fl_str_mv info:eu-repo/semantics/openAccess
http://creativecommons.org/licenses/by-nc-nd/4.0/
Licencia Creative Commons. CC - BY - NC - ND
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
eu_rights_str_mv openAccess
rights_invalid_str_mv http://creativecommons.org/licenses/by-nc-nd/4.0/
Licencia Creative Commons. CC - BY - NC - ND
Attribution-NonCommercial-NoDerivatives 4.0 Internacional
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv IOPscience
publisher.none.fl_str_mv IOPscience
dc.source.none.fl_str_mv reponame:Repositorio Institucional Abierto (UTN)
instname:Universidad Tecnológica Nacional
reponame_str Repositorio Institucional Abierto (UTN)
collection Repositorio Institucional Abierto (UTN)
instname_str Universidad Tecnológica Nacional
repository.name.fl_str_mv Repositorio Institucional Abierto (UTN) - Universidad Tecnológica Nacional
repository.mail.fl_str_mv gestionria@rec.utn.edu.ar; fsuarez@rec.utn.edu.ar
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score 12.623145

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