Journal
JOURNAL OF THE TEXTILE INSTITUTE
Volume 112, Issue 3, Pages 417-428Publisher
TAYLOR & FRANCIS LTD
DOI: 10.1080/00405000.2020.1761671
Keywords
Acoustic emission; single fiber tensile fracture; vibration signal; time-frequency matrix; singular value decomposition; fuzzy c-means cluster analysis
Categories
Funding
- Shanghai Local Capacity-Building Project [18FZ-006]
- Shanghai University of Engineering and Science Talents Zhihong Project [19030501200]
- [2017RC432017]
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This paper introduces a method for investigating the single fiber fracture sequence during tensile fracture process of blended yarn using acoustic emission technology. By analyzing the singular values of acoustic emission signals, it is possible to efficiently characterize different types of fiber fractures and determine the fiber fracture sequence during the tensile fracture process of blended yarn.
via the acoustic emission technology, a method used for investigating the single fiber fracture sequence during tensile fracture process of blended yarn, which is made of different kinds of fiber was presented in this paper. As the fibers aggregate together after spinning process, the tensile strength of the yarn mainly originates from the strength of the fibers inside the yarn, as well as the cohesive force and surface friction between the fibers. In order to collect the acoustic emission signals generated during tensile fracture of the yarn and different single fibers, the acoustic emission technology was adopted. Firstly, the time-frequency matrix of the acoustic emission signal was constructed on the basis of Hilbert-Huang transform; subsequently, the singular value of the signal was obtained by singular value decomposition of the time-frequency matrix of the signal; ultimately, the singular value of the signal was judged by the fuzzy c-means cluster analysis. The results showed that the singular value can be used not only to characterize the fractures of different kinds of fiber in an efficient way, but also to identify the fiber fracture sequence during tensile fracture process of blended yarn, providing an excellent theoretical support for researching into the yarn formation process.
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