2019
DOI: 10.1177/0040517519838057
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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 pro… Show more

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Cited by 8 publications
(6 citation statements)
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“…The wavelet transform (WT) method is utilized to remove the background noise from the original AE signal in this paper. The processing steps are as follows23: (a) decompose the original signal into six levels with wavelet basis ‘Daubechies 5’ to generate the wavelet coefficients, including six detail coefficients and an approximate coefficient; (b) select the ‘soft thresholding’ function and ‘minimax’ algorithm to remove noises; (c) perform inverse WTs of the thresholded wavelet coefficients to obtain the de-noised signal. The original signal and de-noised signal are shown in Figure 3.…”
Section: Methodsmentioning
confidence: 99%
“…The wavelet transform (WT) method is utilized to remove the background noise from the original AE signal in this paper. The processing steps are as follows23: (a) decompose the original signal into six levels with wavelet basis ‘Daubechies 5’ to generate the wavelet coefficients, including six detail coefficients and an approximate coefficient; (b) select the ‘soft thresholding’ function and ‘minimax’ algorithm to remove noises; (c) perform inverse WTs of the thresholded wavelet coefficients to obtain the de-noised signal. The original signal and de-noised signal are shown in Figure 3.…”
Section: Methodsmentioning
confidence: 99%
“…34 It also can be performed to predict the strength and elongation of the single fiber through AE signals. 35,36 The main motivation of this study was to propose a new method for predicting and characterizing the mechanical properties of natural fiber assemblies. For this purpose, single and bundle fibers of natural wool were stretched to break under simultaneous AE monitoring.…”
Section: Acoustic Emission Detection Of Bundle Fibersmentioning
confidence: 99%
“…The breaking strength of the wool fabric was determined by the breaking strength of the constituent wool fibers as well as the fabric structure. 34,38 However, the fabric structure was the same. The increase in the breaking strength was therefore due to the increased strength of the wool fibers.…”
Section: Appearance Of the Original And Treated Wool Samplesmentioning
confidence: 99%