Correlation analysis between acoustic emission signal parameters and fracture stress of wool fiber

Abstract

In order to optimize the tensile performance measurement of wool and other fiber materials, the present paper proposes a novel characterization method based on acoustic emission detection of fiber fracture acoustic signals, which can characterize the tensile properties of materials. When the fiber material is stretched and fractured, part of the elastic potential energy accumulated during the stretching process will propagate into the air in the form of oscillating sound waves, which will carry the tensile property information of the fiber material. Firstly, the signal is de-noised by wavelet transform and the waveform parameters are extracted. Secondly, the amplitudes in the characteristic frequency interval (As-CFI) of the spectrum are extracted by fast Fourier transform, and principal component analysis is utilized to reduce the parameter dimension. Finally, the waveform parameters and the spectral parameters are respectively regression analyzed with tensile parameters. The result shows that there is a clear linear correlation between the tensile parameters of wool fibers and the acoustic signal parameters. In the multiple linear regression analysis of waveform parameters and As-CFI versus fracture stress, the correlation coefficients are all above 0.90.