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Pattern recognition in audible sound energy emissions of AISI 52100 hardened steel turning: a MFCC-based approach

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Abstract

The main objective in machining processes is to produce a high-quality surface finish which, however, can be measured only at the end of the machining cycle. A more preferable method would be to monitor the quality during the cycle, what result a real-time, low-cost, and accurate monitoring method that can dynamically adjust the machining parameters and keep the target surface finish. Motivated by this premise, results of investigation on the relationship between emitted sound signal and surface finish during turning process are reported in this paper. Through experiments with AISI 52100 hardened steel, this work shows that such a correlation does exist presenting strong evidences that Mel-Frequency Cepstral Coefficients, extracted from sound energy, can detect different surface roughness levels, what makes it a promising feature for real-time process quality monitoring methods.

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Authors and Affiliations

  1. Industrial Engineering Institute, Federal University of Itajuba, 1303 BPS Avenue, Itajuba, MG, 37500-903, Brazil

    Edielson P. Frigieri, Tarcisio G. Brito, Anderson P. Paiva, João R. Ferreira & Pedro P. Balestrassi

  2. Electrical Engineering Department, National Institute of Telecommunication, 510 João de Camargo Avenue, Santa Rita do Sapucai, MG, 37540-000, Brazil

    Carlos A. Ynoguti

Authors
  1. Edielson P. Frigieri
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  2. Tarcisio G. Brito
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  3. Carlos A. Ynoguti
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  4. Anderson P. Paiva
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  5. João R. Ferreira
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  6. Pedro P. Balestrassi
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Correspondence to Edielson P. Frigieri.

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Frigieri, E.P., Brito, T.G., Ynoguti, C.A. et al. Pattern recognition in audible sound energy emissions of AISI 52100 hardened steel turning: a MFCC-based approach. Int J Adv Manuf Technol 88, 1383–1392 (2017). https://doi.org/10.1007/s00170-016-8748-4

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  • DOI: https://doi.org/10.1007/s00170-016-8748-4

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