Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy

Detalhes bibliográficos
Autor(a) principal: Albuquerque, Victor Hugo Costa de
Data de Publicação: 2015
Outros Autores: Barbosa, Cleisson Vieira, Silva, Cleiton Carvalho, Moura, Elineudo Pinho de, Rebouças Filho, Pedro Pedrosa, Papa, João Paulo, Tavares, João Manuel Ribeiro da Silva
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Institucional da Universidade Federal do Ceará (UFC)
Texto Completo: http://www.repositorio.ufc.br/handle/riufc/44675
Resumo: Secondary phases, such as laves and carbides, are formed during the final solidification stages of nickel-based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the 00 and phases. This work presents an evaluation of the powerful optimum path forest (OPF) classifier configured with six distance functions to classify background echo and backscattered ultrasonic signals from samples of the inconel 625 superalloy thermally aged at 650 and 950 C for 10, 100 and 200 h. The background echo and backscattered ultrasonic signals were acquired using transducers with frequencies of 4 and 5 MHz. The potentiality of ultrasonic sensor signals combined with the OPF to characterize the microstructures of an inconel 625 thermally aged and in the as-welded condition were confirmed by the results. The experimental results revealed that the OPF classifier is sufficiently fast (classification total time of 0.316 ms) and accurate (accuracy of 88.75% and harmonic mean of 89.52) for the application proposed.
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spelling Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloyLigas - TecnologiaMetric functionOptimum path forestSignal classificationUltrasonic sensorSecondary phases, such as laves and carbides, are formed during the final solidification stages of nickel-based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the 00 and phases. This work presents an evaluation of the powerful optimum path forest (OPF) classifier configured with six distance functions to classify background echo and backscattered ultrasonic signals from samples of the inconel 625 superalloy thermally aged at 650 and 950 C for 10, 100 and 200 h. The background echo and backscattered ultrasonic signals were acquired using transducers with frequencies of 4 and 5 MHz. The potentiality of ultrasonic sensor signals combined with the OPF to characterize the microstructures of an inconel 625 thermally aged and in the as-welded condition were confirmed by the results. The experimental results revealed that the OPF classifier is sufficiently fast (classification total time of 0.316 ms) and accurate (accuracy of 88.75% and harmonic mean of 89.52) for the application proposed.Sensors2019-08-12T17:55:14Z2019-08-12T17:55:14Z2015info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfALBUQUERQUE, V. H. C. et. al. Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy. Sensors, v. 15, n. 6, p. 12474-124971424-8220http://www.repositorio.ufc.br/handle/riufc/44675Albuquerque, Victor Hugo Costa deBarbosa, Cleisson VieiraSilva, Cleiton CarvalhoMoura, Elineudo Pinho deRebouças Filho, Pedro PedrosaPapa, João PauloTavares, João Manuel Ribeiro da Silvaengreponame:Repositório Institucional da Universidade Federal do Ceará (UFC)instname:Universidade Federal do Ceará (UFC)instacron:UFCinfo:eu-repo/semantics/openAccess2021-01-28T16:45:38Zoai:repositorio.ufc.br:riufc/44675Repositório InstitucionalPUBhttp://www.repositorio.ufc.br/ri-oai/requestbu@ufc.br || repositorio@ufc.bropendoar:2024-09-11T18:51:16.466873Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)false
dc.title.none.fl_str_mv Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
title Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
spellingShingle Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
Albuquerque, Victor Hugo Costa de
Ligas - Tecnologia
Metric function
Optimum path forest
Signal classification
Ultrasonic sensor
title_short Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
title_full Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
title_fullStr Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
title_full_unstemmed Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
title_sort Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
author Albuquerque, Victor Hugo Costa de
author_facet Albuquerque, Victor Hugo Costa de
Barbosa, Cleisson Vieira
Silva, Cleiton Carvalho
Moura, Elineudo Pinho de
Rebouças Filho, Pedro Pedrosa
Papa, João Paulo
Tavares, João Manuel Ribeiro da Silva
author_role author
author2 Barbosa, Cleisson Vieira
Silva, Cleiton Carvalho
Moura, Elineudo Pinho de
Rebouças Filho, Pedro Pedrosa
Papa, João Paulo
Tavares, João Manuel Ribeiro da Silva
author2_role author
author
author
author
author
author
dc.contributor.author.fl_str_mv Albuquerque, Victor Hugo Costa de
Barbosa, Cleisson Vieira
Silva, Cleiton Carvalho
Moura, Elineudo Pinho de
Rebouças Filho, Pedro Pedrosa
Papa, João Paulo
Tavares, João Manuel Ribeiro da Silva
dc.subject.por.fl_str_mv Ligas - Tecnologia
Metric function
Optimum path forest
Signal classification
Ultrasonic sensor
topic Ligas - Tecnologia
Metric function
Optimum path forest
Signal classification
Ultrasonic sensor
description Secondary phases, such as laves and carbides, are formed during the final solidification stages of nickel-based superalloy coatings deposited during the gas tungsten arc welding cold wire process. However, when aged at high temperatures, other phases can precipitate in the microstructure, like the 00 and phases. This work presents an evaluation of the powerful optimum path forest (OPF) classifier configured with six distance functions to classify background echo and backscattered ultrasonic signals from samples of the inconel 625 superalloy thermally aged at 650 and 950 C for 10, 100 and 200 h. The background echo and backscattered ultrasonic signals were acquired using transducers with frequencies of 4 and 5 MHz. The potentiality of ultrasonic sensor signals combined with the OPF to characterize the microstructures of an inconel 625 thermally aged and in the as-welded condition were confirmed by the results. The experimental results revealed that the OPF classifier is sufficiently fast (classification total time of 0.316 ms) and accurate (accuracy of 88.75% and harmonic mean of 89.52) for the application proposed.
publishDate 2015
dc.date.none.fl_str_mv 2015
2019-08-12T17:55:14Z
2019-08-12T17:55:14Z
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 ALBUQUERQUE, V. H. C. et. al. Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy. Sensors, v. 15, n. 6, p. 12474-12497
1424-8220
http://www.repositorio.ufc.br/handle/riufc/44675
identifier_str_mv ALBUQUERQUE, V. H. C. et. al. Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy. Sensors, v. 15, n. 6, p. 12474-12497
1424-8220
url http://www.repositorio.ufc.br/handle/riufc/44675
dc.language.iso.fl_str_mv eng
language eng
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.publisher.none.fl_str_mv Sensors
publisher.none.fl_str_mv Sensors
dc.source.none.fl_str_mv reponame:Repositório Institucional da Universidade Federal do Ceará (UFC)
instname:Universidade Federal do Ceará (UFC)
instacron:UFC
instname_str Universidade Federal do Ceará (UFC)
instacron_str UFC
institution UFC
reponame_str Repositório Institucional da Universidade Federal do Ceará (UFC)
collection Repositório Institucional da Universidade Federal do Ceará (UFC)
repository.name.fl_str_mv Repositório Institucional da Universidade Federal do Ceará (UFC) - Universidade Federal do Ceará (UFC)
repository.mail.fl_str_mv bu@ufc.br || repositorio@ufc.br
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