High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography

Autores
Toledo, J. C.; Diaz, Felipe Victor; Peralta, M. E.; Fernandino, Diego Omar
Año de publicación
2022
Idioma
inglés
Tipo de recurso
artículo
Estado
versión publicada
Descripción
This work is a continuation of the studies presented in a recent paper by the authors, where a methodology to obtain different nodule quality categories in spheroidal graphite cast iron, was proposed. In this study, an exhaustive analysis of the highest-quality graphite nodules was performedThe experimental methodology involves X-ray micro-computed tomography analysis and digital image post-processing of the high-quality graphite nodule population. Furthermore, different subpopulations were selected, following a nodular size criterion. The procedure involves the evaluation and comparison of the sphericity and compactness distributions and the distances between neighbouring nodules by using ad-hoc image processing software. The results reveal the complementary nature of the sphericity and compactness parameters, which allow classifying, with great accuracy, different nodular quality categories of spheroidal graphite cast iron. Additionally, new viewpoints about the nodular morphology study and the distribution of quality nodules in the metallic matrix were provided, which could be extended to other heterogeneous materials.
Fil: Toledo, J. C.. Universidad Tecnológica Nacional; Argentina
Fil: Diaz, Felipe Victor. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Peralta, M. E.. Instituto Nacional de Tecnología Industrial; Argentina
Fil: Fernandino, Diego Omar. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
Materia
COMPACTNESS
NONDESTRUCTIVE ANALYSIS
SPHERICITY
SPHEROIDAL GRAPHITE CAST IRON
X-RAY MICRO-TOMOGRAPHY
Nivel de accesibilidad
acceso abierto
Condiciones de uso
https://creativecommons.org/licenses/by-nc-sa/2.5/ar/
Repositorio
CONICET Digital (CONICET)
Institución
Consejo Nacional de Investigaciones Científicas y Técnicas
OAI Identificador
oai:ri.conicet.gov.ar:11336/213249
Acceder
id CONICETDig_5c97e271ca8bea3d21446d88dd90b454
oai_identifier_str oai:ri.conicet.gov.ar:11336/213249
network_acronym_str CONICETDig
repository_id_str 3498
network_name_str CONICET Digital (CONICET)
spelling High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomographyToledo, J. C.Diaz, Felipe VictorPeralta, M. E.Fernandino, Diego OmarCOMPACTNESSNONDESTRUCTIVE ANALYSISSPHERICITYSPHEROIDAL GRAPHITE CAST IRONX-RAY MICRO-TOMOGRAPHYhttps://purl.org/becyt/ford/2.5https://purl.org/becyt/ford/2This work is a continuation of the studies presented in a recent paper by the authors, where a methodology to obtain different nodule quality categories in spheroidal graphite cast iron, was proposed. In this study, an exhaustive analysis of the highest-quality graphite nodules was performedThe experimental methodology involves X-ray micro-computed tomography analysis and digital image post-processing of the high-quality graphite nodule population. Furthermore, different subpopulations were selected, following a nodular size criterion. The procedure involves the evaluation and comparison of the sphericity and compactness distributions and the distances between neighbouring nodules by using ad-hoc image processing software. The results reveal the complementary nature of the sphericity and compactness parameters, which allow classifying, with great accuracy, different nodular quality categories of spheroidal graphite cast iron. Additionally, new viewpoints about the nodular morphology study and the distribution of quality nodules in the metallic matrix were provided, which could be extended to other heterogeneous materials.Fil: Toledo, J. C.. Universidad Tecnológica Nacional; ArgentinaFil: Diaz, Felipe Victor. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; ArgentinaFil: Peralta, M. E.. Instituto Nacional de Tecnología Industrial; ArgentinaFil: Fernandino, Diego Omar. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; ArgentinaGruppo Italiano Frattura2022-10info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_6501info:ar-repo/semantics/articuloapplication/pdfapplication/pdfapplication/pdfhttp://hdl.handle.net/11336/213249Toledo, J. C.; Diaz, Felipe Victor; Peralta, M. E.; Fernandino, Diego Omar; High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography; Gruppo Italiano Frattura; Frattura ed Integrita Strutturale; 16; 62; 10-2022; 279-2881971-8993CONICET DigitalCONICETenginfo:eu-repo/semantics/altIdentifier/url/https://www.fracturae.com/index.php/fisinfo:eu-repo/semantics/altIdentifier/doi/10.3221/IGF-ESIS.62.20info:eu-repo/semantics/openAccesshttps://creativecommons.org/licenses/by-nc-sa/2.5/ar/reponame:CONICET Digital (CONICET)instname:Consejo Nacional de Investigaciones Científicas y Técnicas2025-10-15T15:11:50Zoai:ri.conicet.gov.ar:11336/213249instacron: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:34982025-10-15 15:11:51.053CONICET Digital (CONICET) - Consejo Nacional de Investigaciones Científicas y Técnicasfalse
dc.title.none.fl_str_mv High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
title High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
spellingShingle High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
Toledo, J. C.
COMPACTNESS
NONDESTRUCTIVE ANALYSIS
SPHERICITY
SPHEROIDAL GRAPHITE CAST IRON
X-RAY MICRO-TOMOGRAPHY
title_short High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
title_full High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
title_fullStr High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
title_full_unstemmed High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
title_sort High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography
dc.creator.none.fl_str_mv Toledo, J. C.
Diaz, Felipe Victor
Peralta, M. E.
Fernandino, Diego Omar
author Toledo, J. C.
author_facet Toledo, J. C.
Diaz, Felipe Victor
Peralta, M. E.
Fernandino, Diego Omar
author_role author
author2 Diaz, Felipe Victor
Peralta, M. E.
Fernandino, Diego Omar
author2_role author
author
author
dc.subject.none.fl_str_mv COMPACTNESS
NONDESTRUCTIVE ANALYSIS
SPHERICITY
SPHEROIDAL GRAPHITE CAST IRON
X-RAY MICRO-TOMOGRAPHY
topic COMPACTNESS
NONDESTRUCTIVE ANALYSIS
SPHERICITY
SPHEROIDAL GRAPHITE CAST IRON
X-RAY MICRO-TOMOGRAPHY
purl_subject.fl_str_mv https://purl.org/becyt/ford/2.5
https://purl.org/becyt/ford/2
dc.description.none.fl_txt_mv This work is a continuation of the studies presented in a recent paper by the authors, where a methodology to obtain different nodule quality categories in spheroidal graphite cast iron, was proposed. In this study, an exhaustive analysis of the highest-quality graphite nodules was performedThe experimental methodology involves X-ray micro-computed tomography analysis and digital image post-processing of the high-quality graphite nodule population. Furthermore, different subpopulations were selected, following a nodular size criterion. The procedure involves the evaluation and comparison of the sphericity and compactness distributions and the distances between neighbouring nodules by using ad-hoc image processing software. The results reveal the complementary nature of the sphericity and compactness parameters, which allow classifying, with great accuracy, different nodular quality categories of spheroidal graphite cast iron. Additionally, new viewpoints about the nodular morphology study and the distribution of quality nodules in the metallic matrix were provided, which could be extended to other heterogeneous materials.
Fil: Toledo, J. C.. Universidad Tecnológica Nacional; Argentina
Fil: Diaz, Felipe Victor. Universidad Tecnológica Nacional. Facultad Regional Rafaela; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentina
Fil: Peralta, M. E.. Instituto Nacional de Tecnología Industrial; Argentina
Fil: Fernandino, Diego Omar. Universidad Nacional de Mar del Plata; Argentina. Consejo Nacional de Investigaciones Científicas y Técnicas. Centro Científico Tecnológico Conicet - Mar del Plata; Argentina
description This work is a continuation of the studies presented in a recent paper by the authors, where a methodology to obtain different nodule quality categories in spheroidal graphite cast iron, was proposed. In this study, an exhaustive analysis of the highest-quality graphite nodules was performedThe experimental methodology involves X-ray micro-computed tomography analysis and digital image post-processing of the high-quality graphite nodule population. Furthermore, different subpopulations were selected, following a nodular size criterion. The procedure involves the evaluation and comparison of the sphericity and compactness distributions and the distances between neighbouring nodules by using ad-hoc image processing software. The results reveal the complementary nature of the sphericity and compactness parameters, which allow classifying, with great accuracy, different nodular quality categories of spheroidal graphite cast iron. Additionally, new viewpoints about the nodular morphology study and the distribution of quality nodules in the metallic matrix were provided, which could be extended to other heterogeneous materials.
publishDate 2022
dc.date.none.fl_str_mv 2022-10
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/11336/213249
Toledo, J. C.; Diaz, Felipe Victor; Peralta, M. E.; Fernandino, Diego Omar; High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography; Gruppo Italiano Frattura; Frattura ed Integrita Strutturale; 16; 62; 10-2022; 279-288
1971-8993
CONICET Digital
CONICET
url http://hdl.handle.net/11336/213249
identifier_str_mv Toledo, J. C.; Diaz, Felipe Victor; Peralta, M. E.; Fernandino, Diego Omar; High-quality nodule analysis in spheroidal graphite cast iron using X-ray micro-computed tomography; Gruppo Italiano Frattura; Frattura ed Integrita Strutturale; 16; 62; 10-2022; 279-288
1971-8993
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.fracturae.com/index.php/fis
info:eu-repo/semantics/altIdentifier/doi/10.3221/IGF-ESIS.62.20
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
application/pdf
dc.publisher.none.fl_str_mv Gruppo Italiano Frattura
publisher.none.fl_str_mv Gruppo Italiano Frattura
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
_version_ 1846083266594996224
score 13.22299

Publicaciones similares