Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels
Autor(a) principal: | |
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Data de Publicação: | 2016 |
Outros Autores: | , , , , , , |
Tipo de documento: | Artigo |
Idioma: | eng |
Título da fonte: | Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
Texto Completo: | https://hdl.handle.net/10216/84072 |
Resumo: | Duplex stainless steels present excellent mechanical and corrosion resistance properties. However, when heat treated at temperatures above 600 ºC, the undesirable tertiary sigma phase is formed. This phase presents high hardness, around 900 HV, and it is rich in chromium, the material toughness being compromised when the amount of this phase is not less than 4%. This work aimed to develop a solution for the detection of this phase in duplex stainless steels through the computational classification of induced magnetic field signals. The proposed solution is based on an Optimum Path Forest classifier, which was revealed to be more robust and effective than Bayes, Artificial Neural Network and Support Vector Machine based classifiers. The induced magnetic field was produced by the interaction between an applied external field and the microstructure. Samples of the 2205 duplex stainless steel were thermal aged in order to obtain different amounts of sigma phases (up to 18% in content). The obtained classification results were compared against the ones obtained by Charpy impact energy test, amount of sigma phase, and analysis of the fracture surface by scanning electron microscopy and X-ray diffraction. The proposed solution achieved a classification accuracy superior to 95% and was revealed to be robust to signal noise, being therefore a valid testing tool to be used in this domain. |
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7160 |
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Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steelsDuplex stainless steels present excellent mechanical and corrosion resistance properties. However, when heat treated at temperatures above 600 ºC, the undesirable tertiary sigma phase is formed. This phase presents high hardness, around 900 HV, and it is rich in chromium, the material toughness being compromised when the amount of this phase is not less than 4%. This work aimed to develop a solution for the detection of this phase in duplex stainless steels through the computational classification of induced magnetic field signals. The proposed solution is based on an Optimum Path Forest classifier, which was revealed to be more robust and effective than Bayes, Artificial Neural Network and Support Vector Machine based classifiers. The induced magnetic field was produced by the interaction between an applied external field and the microstructure. Samples of the 2205 duplex stainless steel were thermal aged in order to obtain different amounts of sigma phases (up to 18% in content). The obtained classification results were compared against the ones obtained by Charpy impact energy test, amount of sigma phase, and analysis of the fracture surface by scanning electron microscopy and X-ray diffraction. The proposed solution achieved a classification accuracy superior to 95% and was revealed to be robust to signal noise, being therefore a valid testing tool to be used in this domain.2016-07-142016-07-14T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttps://hdl.handle.net/10216/84072eng10.3390/met6070164Edgard M. SilvaLeandro B. MarinhoPedro P. Rebouças FilhoJoão P. LeiteJosinaldo P. LeiteWalter M. L. FialhoVictor Hugo C. de AlbuquerqueJoão Manuel R. S. Tavaresinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-29T12:42:12Zoai:repositorio-aberto.up.pt:10216/84072Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T23:25:05.077590Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse |
dc.title.none.fl_str_mv |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels |
title |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels |
spellingShingle |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels Edgard M. Silva |
title_short |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels |
title_full |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels |
title_fullStr |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels |
title_full_unstemmed |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels |
title_sort |
Classification of induced magnetic field signals for the microstructural characterization of sigma phase in duplex stainless steels |
author |
Edgard M. Silva |
author_facet |
Edgard M. Silva Leandro B. Marinho Pedro P. Rebouças Filho João P. Leite Josinaldo P. Leite Walter M. L. Fialho Victor Hugo C. de Albuquerque João Manuel R. S. Tavares |
author_role |
author |
author2 |
Leandro B. Marinho Pedro P. Rebouças Filho João P. Leite Josinaldo P. Leite Walter M. L. Fialho Victor Hugo C. de Albuquerque João Manuel R. S. Tavares |
author2_role |
author author author author author author author |
dc.contributor.author.fl_str_mv |
Edgard M. Silva Leandro B. Marinho Pedro P. Rebouças Filho João P. Leite Josinaldo P. Leite Walter M. L. Fialho Victor Hugo C. de Albuquerque João Manuel R. S. Tavares |
description |
Duplex stainless steels present excellent mechanical and corrosion resistance properties. However, when heat treated at temperatures above 600 ºC, the undesirable tertiary sigma phase is formed. This phase presents high hardness, around 900 HV, and it is rich in chromium, the material toughness being compromised when the amount of this phase is not less than 4%. This work aimed to develop a solution for the detection of this phase in duplex stainless steels through the computational classification of induced magnetic field signals. The proposed solution is based on an Optimum Path Forest classifier, which was revealed to be more robust and effective than Bayes, Artificial Neural Network and Support Vector Machine based classifiers. The induced magnetic field was produced by the interaction between an applied external field and the microstructure. Samples of the 2205 duplex stainless steel were thermal aged in order to obtain different amounts of sigma phases (up to 18% in content). The obtained classification results were compared against the ones obtained by Charpy impact energy test, amount of sigma phase, and analysis of the fracture surface by scanning electron microscopy and X-ray diffraction. The proposed solution achieved a classification accuracy superior to 95% and was revealed to be robust to signal noise, being therefore a valid testing tool to be used in this domain. |
publishDate |
2016 |
dc.date.none.fl_str_mv |
2016-07-14 2016-07-14T00:00:00Z |
dc.type.status.fl_str_mv |
info:eu-repo/semantics/publishedVersion |
dc.type.driver.fl_str_mv |
info:eu-repo/semantics/article |
format |
article |
status_str |
publishedVersion |
dc.identifier.uri.fl_str_mv |
https://hdl.handle.net/10216/84072 |
url |
https://hdl.handle.net/10216/84072 |
dc.language.iso.fl_str_mv |
eng |
language |
eng |
dc.relation.none.fl_str_mv |
10.3390/met6070164 |
dc.rights.driver.fl_str_mv |
info:eu-repo/semantics/openAccess |
eu_rights_str_mv |
openAccess |
dc.format.none.fl_str_mv |
application/pdf |
dc.source.none.fl_str_mv |
reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação instacron:RCAAP |
instname_str |
Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
instacron_str |
RCAAP |
institution |
RCAAP |
reponame_str |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
collection |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) |
repository.name.fl_str_mv |
Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
repository.mail.fl_str_mv |
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1799135555057876993 |