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Alexandre, F. A., Viera, M. A. A., Conceição Junior, P. O., Simões, L., Lopes, W. N., de Aguiar, P. R., Bianchi, E. C., & da Silva, R. B. (2018). Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045. KnE Engineering, 3(2), 414-423. https://doi.org/10.18502/keg.v3i1.1446

https://doi.org/10.18502/keg.v3i1.1446

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authors

  • Felipe Aparecido Alexandre

    Felipe Aparecido Alexandre

    Universidade Estadual Paulista Júlio Mesquita Filho - UNESP, Bauru, São Paulo
  • Martin Antonio Aulestia Viera

    Martin Antonio Aulestia Viera

    Universidade Estadual Paulista Júlio Mesquita Filho - UNESP, Bauru, São Paulo
  • Pedro Oliveira Conceição Junior

    Pedro Oliveira Conceição Junior

    Universidade Estadual Paulista Júlio Mesquita Filho - UNESP, Bauru, São Paulo
  • Leonardo Simões

    Leonardo Simões

    Universidade Estadual Paulista Júlio Mesquita Filho - UNESP, Bauru, São Paulo
  • Wenderson Nascimento Lopes

    Wenderson Nascimento Lopes

    Universidade Estadual Paulista Júlio Mesquita Filho - UNESP, Bauru, São Paulo
  • Paulo Roberto de Aguiar

    Paulo Roberto de Aguiar

    Universidade Estadual Paulista Júlio Mesquita Filho - UNESP, Bauru, São Paulo
  • Eduardo Carlos Bianchi

    Eduardo Carlos Bianchi

    Universidade Estadual Paulista Júlio Mesquita Filho - UNESP, Bauru, São Paulo
  • Rosemar Batista da Silva

    Rosemar Batista da Silva

    Universidade Federal de Uberlândia - UFU, Uberlândia, Minas Gerais

Published Date

  • Feb 11, 2018

Análise de Sinais de Emissao Acústica e Estatística Counts na Detecção da Alteração Microestrutural na Retificação de Aço 1045

KnE Engineering / 6th Engineering, Science and Technology Conference - Panama 2017 (ESTEC 2017) / Pages 414-423

Abstract

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

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