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Correlation analysis among audible sound emissions and machining parameters in hardened steel turning

Author

Listed:
  • Edielson P. Frigieri

    (National Institute of Telecommunication)

  • Carlos A. Ynoguti

    (National Institute of Telecommunication)

  • Anderson P. Paiva

    (Federal University of Itajuba)

Abstract

Nowadays, monitoring systems are essential tools for manufacturing processes. As the main objective in machining processes is to produce high-quality products with reduced time, many efforts are being made to find new indirect methods that does not require to interrupt the process and does not have an excessively cost. Motivated by this premise, results of investigation on the relationship between audible sound emitted during process and the machining parameters are reported in this paper. Through experiments with the AISI 52100 hardened steel, this work shows that such a correlation does exist, presenting strong evidences that principal components scores, extracted from the power spectra of audible sound, are correlated with different machining parameters, such as material removal rate, cutting speed and depth of cut, as well as with different surface roughness levels, which makes it a promising feature for real-time process quality monitoring systems.

Suggested Citation

  • Edielson P. Frigieri & Carlos A. Ynoguti & Anderson P. Paiva, 2019. "Correlation analysis among audible sound emissions and machining parameters in hardened steel turning," Journal of Intelligent Manufacturing, Springer, vol. 30(4), pages 1753-1764, April.
    • Handle: RePEc:spr:joinma:v:30:y:2019:i:4:d:10.1007_s10845-017-1356-9
    DOI: 10.1007/s10845-017-1356-9
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    Cited by:

    1. Yanning Sun & Wei Qin & Zilong Zhuang, 2022. "Nonparametric-copula-entropy and network deconvolution method for causal discovery in complex manufacturing systems," Journal of Intelligent Manufacturing, Springer, vol. 33(6), pages 1699-1713, August.
    2. Neeraj Gupta & Saurabh Gupta & Mahdi Khosravy & Nilanjan Dey & Nisheeth Joshi & Rubén González Crespo & Nilesh Patel, 2021. "RETRACTED ARTICLE: Economic IoT strategy: the future technology for health monitoring and diagnostic of agriculture vehicles," Journal of Intelligent Manufacturing, Springer, vol. 32(4), pages 1117-1128, April.

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