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

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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.

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Notes

  1. The Pearson product-moment correlation is used to assess the strength and direction of association between two continuous variables that are linearly related. Its coefficient, r, indicates the strength and direction of this relationship and can range from −1 for a perfect negative linear relationship to \(+\)1 for a perfect positive linear relationship. A value of 0 (zero) indicates that there is no relationship between the two variables (Frigieri et al. 2017).

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Acknowledgements

This research was supported by CAPES under process number BEX 3203/15-8. Thanks also to the Brazilian governmental agencies of CNPq and FAPEMIG.

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Authors and Affiliations

  1. Department of Computer Engineering, National Institute of Telecommunication, 510 João de Camargo Avenue, Santa Rita Do Sapucaí, MG, 37540-000, Brazil

    Edielson P. Frigieri & Carlos A. Ynoguti

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

    Anderson P. Paiva

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  1. Edielson P. Frigieri
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  2. Carlos A. Ynoguti
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Correspondence to Edielson P. Frigieri.

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Frigieri, E.P., Ynoguti, C.A. & Paiva, A.P. Correlation analysis among audible sound emissions and machining parameters in hardened steel turning. J Intell Manuf 30, 1753–1764 (2019). https://doi.org/10.1007/s10845-017-1356-9

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