Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045
Grinding is a high-precision, high-value-added finishing process as it is usually the last stage of the manufacturing chain. However, unsatisfactory results may occur, mainly due to changes in the microstructure of the ground workpiece. Such changes are caused by the high temperatures involved in th...
Autores Principales: | Alexandre, Felipe Aparecido, Viera, Martin Antonio Aulestia, Conceição Junior, Pedro Oliveira, Simões, Leonardo, Lopes, Wenderson Nascimento, de Aguiar, Paulo Roberto, Bianchi, Eduardo Carlos, da Silva, Rosemar Batista |
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2018
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https://knepublishing.com/index.php/KnE-Engineering/article/view/1446 http://ridda2.utp.ac.pa/handle/123456789/4220 |
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RepoUTP42202021-07-06T16:47:34Z Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045 Alexandre, Felipe Aparecido Viera, Martin Antonio Aulestia Conceição Junior, Pedro Oliveira Simões, Leonardo Lopes, Wenderson Nascimento de Aguiar, Paulo Roberto Bianchi, Eduardo Carlos da Silva, Rosemar Batista Alexandre, Felipe Aparecido Viera, Martin Antonio Aulestia Conceição Junior, Pedro Oliveira Simões, Leonardo Lopes, Wenderson Nascimento de Aguiar, Paulo Roberto Bianchi, Eduardo Carlos da Silva, Rosemar Batista Grinding is a high-precision, high-value-added finishing process as it is usually the last stage of the manufacturing chain. However, unsatisfactory results may occur, mainly due to changes in the microstructure of the ground workpiece. Such changes are caused by the high temperatures involved in the process due to the grinding conditions in which the part was subjected. In this way, the main objective of this work is the monitoring of the grinding process in order to detect changes in the signal and to relate them with damage occurred in the ground workpiece. The tests were carried out on a surface grinding machine, aluminum oxide grinding wheel and ABNT 1045 steel parts. Metallography was performed on the parts for a more further analysis of their microstructure. The recording of signals was obtained at a sample rate of 2 MHz through an acoustic emission sensor (AE). A frequency study for the selection of the best frequency bands that characterize damage occurred in the ground workpiece. The event counts statistic was applied to the filtered signal in the chosen frequency bands. The results of this work show that the grinding conditions influence the signal and, therefore, its frequency spectrum.Keywords: Manufacturing process; automation, monitoring; grinding process; acoustic emission, damage detection 2018-02-11 2018-02-23T17:16:11Z 2018-02-23T17:16:11Z info:eu-repo/semantics/article info:eu-repo/semantics/publishedVersion https://knepublishing.com/index.php/KnE-Engineering/article/view/1446 10.18502/keg.v3i1.1446 http://ridda2.utp.ac.pa/handle/123456789/4220 eng https://knepublishing.com/index.php/KnE-Engineering/article/view/1446/3256 https://knepublishing.com/index.php/KnE-Engineering/article/view/1446/3495 https://knepublishing.com/index.php/KnE-Engineering/article/view/1446/3496 info:eu-repo/semantics/openAccess https://creativecommons.org/licenses/by/4.0/ application/msword application/pdf application/xml KnE Publishing 2518-6841 KnE Engineering; 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017); 414-423 |
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Universidad Tecnológica de Panamá |
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Repositorio UTP – Ridda2 |
language |
Inglés |
description |
Grinding is a high-precision, high-value-added finishing process as it is usually the last stage of the manufacturing chain. However, unsatisfactory results may occur, mainly due to changes in the microstructure of the ground workpiece. Such changes are caused by the high temperatures involved in the process due to the grinding conditions in which the part was subjected. In this way, the main objective of this work is the monitoring of the grinding process in order to detect changes in the signal and to relate them with damage occurred in the ground workpiece. The tests were carried out on a surface grinding machine, aluminum oxide grinding wheel and ABNT 1045 steel parts. Metallography was performed on the parts for a more further analysis of their microstructure. The recording of signals was obtained at a sample rate of 2 MHz through an acoustic emission sensor (AE). A frequency study for the selection of the best frequency bands that characterize damage occurred in the ground workpiece. The event counts statistic was applied to the filtered signal in the chosen frequency bands. The results of this work show that the grinding conditions influence the signal and, therefore, its frequency spectrum.Keywords: Manufacturing process; automation, monitoring; grinding process; acoustic emission, damage detection |
format |
Artículo |
author |
Alexandre, Felipe Aparecido Viera, Martin Antonio Aulestia Conceição Junior, Pedro Oliveira Simões, Leonardo Lopes, Wenderson Nascimento de Aguiar, Paulo Roberto Bianchi, Eduardo Carlos da Silva, Rosemar Batista Alexandre, Felipe Aparecido Viera, Martin Antonio Aulestia Conceição Junior, Pedro Oliveira Simões, Leonardo Lopes, Wenderson Nascimento de Aguiar, Paulo Roberto Bianchi, Eduardo Carlos da Silva, Rosemar Batista |
spellingShingle |
Alexandre, Felipe Aparecido Viera, Martin Antonio Aulestia Conceição Junior, Pedro Oliveira Simões, Leonardo Lopes, Wenderson Nascimento de Aguiar, Paulo Roberto Bianchi, Eduardo Carlos da Silva, Rosemar Batista Alexandre, Felipe Aparecido Viera, Martin Antonio Aulestia Conceição Junior, Pedro Oliveira Simões, Leonardo Lopes, Wenderson Nascimento de Aguiar, Paulo Roberto Bianchi, Eduardo Carlos da Silva, Rosemar Batista Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045 |
author_sort |
Alexandre, Felipe Aparecido |
title |
Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045 |
title_short |
Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045 |
title_full |
Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045 |
title_fullStr |
Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045 |
title_full_unstemmed |
Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045 |
title_sort |
análise de sinais de emissao acústica e estatística counts na detecção da alteração microestrutural na retificação de aço 1045 |
publisher |
KnE Publishing |
publishDate |
2018 |
url |
https://knepublishing.com/index.php/KnE-Engineering/article/view/1446 http://ridda2.utp.ac.pa/handle/123456789/4220 |
_version_ |
1796209553612734464 |
score |
12.231669 |