Ultrasonic sensor signals and optimum path forest classifier for the microstructural characterization of thermally-aged inconel 625 alloy
Autor(a) principal: | |
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Data de Publicação: | 2015 |
Outros Autores: | , , , , , |
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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Repositório Institucional da Universidade Federal do Ceará (UFC) |
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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 |
_version_ |
1813028971884838912 |