Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls

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A model is sought from the variables of the production process to forecast the surface hardness of 3-inch diameter steel balls. The DI indicator in replacement of chemical composition is considered as an independent variable. The analyzed data corresponds to 43 controls. In which 10 independent vari...

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Detalles Bibliográficos
Autor: Mancha Gonzáles, Salvatore
Formato: artículo
Fecha de Publicación:2016
Institución:Universidad Nacional Mayor de San Marcos
Repositorio:Revistas - Universidad Nacional Mayor de San Marcos
Lenguaje:español
OAI Identifier:oai:ojs.csi.unmsm:article/12966
Enlace del recurso:https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/12966
Nivel de acceso:acceso abierto
Materia:Temper
hardness
ball
hardenability
heat treatment
grinding
Temple
dureza
bola
templabilidad
tratamiento térmico
molienda.
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spelling Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding ballsModelamiento de variables de proceso de tratamiento termico para bolas fundidas de acero de 3 pulgadas-bolas para molienda de mineralesMancha Gonzáles, SalvatoreTemperhardnessballhardenabilityheat treatmentgrindingTempledurezabolatemplabilidadtratamiento térmicomolienda.A model is sought from the variables of the production process to forecast the surface hardness of 3-inch diameter steel balls. The DI indicator in replacement of chemical composition is considered as an independent variable. The analyzed data corresponds to 43 controls. In which 10 independent variables and a dependent variable are initially considered as the surface hardness of the ball (HRC). The data treatment begins with a descriptive analysis of the type of relationship between the independent and dependent variables, and then reduces the independent variables, then applies the multiple linear regression method. The initial model to be considered is of the type Y = β0 + ΣβiXi + ε to later be Y = β1X1 + β2X2 + β3X3 + β4X4 + β5X5 + β6X6 + β7X7 This model was evaluated, multicollinearity, between independent variables by the inverse matrix method of correlations. Normality and homoscedasticide of residues were also tested. The value found for R2 = 0.97056, The test of global significance of the coefficients rejects null hypothesis H0: β1 = βi = 0 and accepts alternative hypotheses, at least one coefficient is different from zero because it has p-value <0.05.Se busca un modelo a partir de las variables de proceso productivo para pronosticar la dureza superficial de bolas de acero de 3 pulgadas de diámetro. Se considera como variable independiente el indicador DI en reemplazo de composición química. La data analizada corresponde a 43 controles. En los cuales se considera inicialmente 10 variables independientes y una variable dependiente como la dureza superficial de la bola (HRC). El tratamiento de datos inicia con un análisis descriptivo del tipo de relación entre las variables independientes y dependiente, para luego reducir las variables independientes, luego aplicar el método de regresión lineal múltiple. El modelo inicial a considera es del tipo Y=β0 +ΣβiXi + ε para luego quedar como Y= β1X1 + β2X2 + β3X3 + β4X4 + β5X5 + β6X6+ β7X7 A este modelo se evaluó, multicolinearidad, entre variables independientes por el método de matriz inversa de correlaciones. También se probó la normalidad y homoscedasticida de residuos. El valor encontrado para R2 = 0.97056, La prueba de significancia global de los coeficientes rechaza hipótesis nula H0 : β1=βi= 0 y acepta hipótesis alterna al menos un coeficiente es diferente de cero por tener p-valor < 0.05.Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica2016-07-15info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/1296610.15381/iigeo.v19i37.12966Revista del Instituto de investigación de la Facultad de minas, metalurgia y ciencias geográficas; Vol. 19 No. 37 (2016)Revista del Instituto de investigación de la Facultad de minas, metalurgia y ciencias geográficas; Vol. 19 Núm. 37 (2016)1682-30871561-0888reponame:Revistas - Universidad Nacional Mayor de San Marcosinstname:Universidad Nacional Mayor de San Marcosinstacron:UNMSMspahttps://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/12966/11582Derechos de autor 2016 Salvatore Mancha Gonzaleshttps://creativecommons.org/licenses/by-nc-sa/4.0info:eu-repo/semantics/openAccessoai:ojs.csi.unmsm:article/129662020-07-11T18:56:40Z
dc.title.none.fl_str_mv Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
Modelamiento de variables de proceso de tratamiento termico para bolas fundidas de acero de 3 pulgadas-bolas para molienda de minerales
title Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
spellingShingle Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
Mancha Gonzáles, Salvatore
Temper
hardness
ball
hardenability
heat treatment
grinding
Temple
dureza
bola
templabilidad
tratamiento térmico
molienda.
title_short Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
title_full Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
title_fullStr Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
title_full_unstemmed Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
title_sort Modeling heat treatment process variables for 3-inch cast steel balls-mineral grinding balls
dc.creator.none.fl_str_mv Mancha Gonzáles, Salvatore
author Mancha Gonzáles, Salvatore
author_facet Mancha Gonzáles, Salvatore
author_role author
dc.subject.none.fl_str_mv Temper
hardness
ball
hardenability
heat treatment
grinding
Temple
dureza
bola
templabilidad
tratamiento térmico
molienda.
topic Temper
hardness
ball
hardenability
heat treatment
grinding
Temple
dureza
bola
templabilidad
tratamiento térmico
molienda.
description A model is sought from the variables of the production process to forecast the surface hardness of 3-inch diameter steel balls. The DI indicator in replacement of chemical composition is considered as an independent variable. The analyzed data corresponds to 43 controls. In which 10 independent variables and a dependent variable are initially considered as the surface hardness of the ball (HRC). The data treatment begins with a descriptive analysis of the type of relationship between the independent and dependent variables, and then reduces the independent variables, then applies the multiple linear regression method. The initial model to be considered is of the type Y = β0 + ΣβiXi + ε to later be Y = β1X1 + β2X2 + β3X3 + β4X4 + β5X5 + β6X6 + β7X7 This model was evaluated, multicollinearity, between independent variables by the inverse matrix method of correlations. Normality and homoscedasticide of residues were also tested. The value found for R2 = 0.97056, The test of global significance of the coefficients rejects null hypothesis H0: β1 = βi = 0 and accepts alternative hypotheses, at least one coefficient is different from zero because it has p-value <0.05.
publishDate 2016
dc.date.none.fl_str_mv 2016-07-15
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/12966
10.15381/iigeo.v19i37.12966
url https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/12966
identifier_str_mv 10.15381/iigeo.v19i37.12966
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistasinvestigacion.unmsm.edu.pe/index.php/iigeo/article/view/12966/11582
dc.rights.none.fl_str_mv Derechos de autor 2016 Salvatore Mancha Gonzales
https://creativecommons.org/licenses/by-nc-sa/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2016 Salvatore Mancha Gonzales
https://creativecommons.org/licenses/by-nc-sa/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica
publisher.none.fl_str_mv Universidad Nacional Mayor de San Marcos, Facultad de Ingeniería Geológica, Minera, Metalúrgica y Geográfica
dc.source.none.fl_str_mv Revista del Instituto de investigación de la Facultad de minas, metalurgia y ciencias geográficas; Vol. 19 No. 37 (2016)
Revista del Instituto de investigación de la Facultad de minas, metalurgia y ciencias geográficas; Vol. 19 Núm. 37 (2016)
1682-3087
1561-0888
reponame:Revistas - Universidad Nacional Mayor de San Marcos
instname:Universidad Nacional Mayor de San Marcos
instacron:UNMSM
instname_str Universidad Nacional Mayor de San Marcos
instacron_str UNMSM
institution UNMSM
reponame_str Revistas - Universidad Nacional Mayor de San Marcos
collection Revistas - Universidad Nacional Mayor de San Marcos
repository.name.fl_str_mv
repository.mail.fl_str_mv
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score 13.7211075
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