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Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy

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 γ...

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Autores principales: de Albuquerque, Victor Hugo C., Barbosa, Cleisson V., Silva, Cleiton C., Moura, Elineudo P., Rebouças Filho, Pedro P., Papa, João P., Tavares, João Manuel R. S.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2015
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507598/
https://www.ncbi.nlm.nih.gov/pubmed/26024416
http://dx.doi.org/10.3390/s150612474
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author de Albuquerque, Victor Hugo C.
Barbosa, Cleisson V.
Silva, Cleiton C.
Moura, Elineudo P.
Rebouças Filho, Pedro P.
Papa, João P.
Tavares, João Manuel R. S.
author_facet de Albuquerque, Victor Hugo C.
Barbosa, Cleisson V.
Silva, Cleiton C.
Moura, Elineudo P.
Rebouças Filho, Pedro P.
Papa, João P.
Tavares, João Manuel R. S.
author_sort de Albuquerque, Victor Hugo C.
collection PubMed
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 γ” and δ 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 pubmed-45075982015-07-22 Ultrasonic Sensor Signals and Optimum Path Forest Classifier for the Microstructural Characterization of Thermally-Aged Inconel 625 Alloy de Albuquerque, Victor Hugo C. Barbosa, Cleisson V. Silva, Cleiton C. Moura, Elineudo P. Rebouças Filho, Pedro P. Papa, João P. Tavares, João Manuel R. S. Sensors (Basel) Article 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 γ” and δ 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. MDPI 2015-05-27 /pmc/articles/PMC4507598/ /pubmed/26024416 http://dx.doi.org/10.3390/s150612474 Text en © 2015 by the authors; licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/4.0/).
spellingShingle Article
de Albuquerque, Victor Hugo C.
Barbosa, Cleisson V.
Silva, Cleiton C.
Moura, Elineudo P.
Rebouças Filho, Pedro P.
Papa, João P.
Tavares, João Manuel R. S.
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
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_short 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
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC4507598/
https://www.ncbi.nlm.nih.gov/pubmed/26024416
http://dx.doi.org/10.3390/s150612474
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