Grinding acoustic emission features in relation to abrasive scratch characteristics
by Eustaquio García Plaza; Xun Chen; Lounis Ait Ouarab
International Journal of Abrasive Technology (IJAT), Vol. 10, No. 2, 2020

Abstract: This paper assessed three signal-processing methods for grinding surface creation monitoring based on acoustic emission (AE) signals in abrasive scratch experiments. The AE signals are analysed in time domain (time direct analysis, TDA), frequency domain (fast Fourier transform, FFT) and in the combined time-frequency domain (singular spectrum analysis, SSA). The result showed that the FFT and SSA signal feature extraction methods gives better indication in correlation to the surface creation with different abrasive geometrical characteristics. For both sapphire and zirconia materials, the FFT method showed the most significative AE features was in the frequency range between 0 and 200 kHz. This work reveals that the AE signals processed with adequate feature extraction method can provide meaningful information for the on-line monitoring of surface creation in grinding processes.

Online publication date: Mon, 28-Sep-2020

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