Authors: Eustaquio García Plaza; Xun Chen; Lounis Ait Ouarab
Addresses: Department Applied Mechanics and Engineering of Projects, Higher Technical School of Industrial Engineering, University of Castilla-La Mancha, Avda. Camilo José Cela, s/n, 13005 Ciudad Real, Spain ' Advanced Manufacturing Technology Research Laboratory, General Engineering Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UK ' Advanced Manufacturing Technology Research Laboratory, General Engineering Research Institute, Liverpool John Moores University, Liverpool L3 3AF, UK
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.
Keywords: grinding; acoustic emission; monitoring; time direct analysis; TDA; fast Fourier transform; FFT; singular spectrum analysis; SSA.
International Journal of Abrasive Technology, 2020 Vol.10 No.2, pp.134 - 154
Received: 10 Jun 2019
Accepted: 23 Jun 2020
Published online: 28 Sep 2020 *