2021
DOI: 10.1002/pat.5325
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Low‐velocity impact resistance and acoustic emission evaluation on mechanical failure of carbon fiber weft‐knitting‐reinforced composites

Abstract: In this study, the carbon fiber weft‐knitting (CFWK)‐reinforced composites were prepared and the deformation mechanism during acoustic emission (AE) and low‐velocity impact resistance. To fabricate CFWK composites, single‐sided 1 × 1 variable plain stitch, double‐sided interlock structure, and two inter‐ply and intra‐ply hybrid structures of the former two stitches were applied for reinforcements in epoxy films via hot‐pressing. Moreover, we evaluated the tensile and bending properties during AE and investigat… Show more

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Cited by 8 publications
(14 citation statements)
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“…For Specimen A, the loads range from 0 to 0.30 kN and 0 to 0.28 kN (averaged failure load) during the first and the second loading stage, and the corresponding load ranges are 0–0.37 and 0–0.34 kN for Specimen B. It is well known that AE signals monitored during the failure process of composites well reflect the generation and evolution of damages, and even can be clustered for the classification and recognition of damage modes 19 . In this study, typical characteristic parameters of AE signals including amplitude, peak frequency, and RA value (the ratio of rising time and amplitude) were selected for the clustering analysis of AE signals based on k‐means algorithm.…”
Section: Resultsmentioning
confidence: 99%
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“…For Specimen A, the loads range from 0 to 0.30 kN and 0 to 0.28 kN (averaged failure load) during the first and the second loading stage, and the corresponding load ranges are 0–0.37 and 0–0.34 kN for Specimen B. It is well known that AE signals monitored during the failure process of composites well reflect the generation and evolution of damages, and even can be clustered for the classification and recognition of damage modes 19 . In this study, typical characteristic parameters of AE signals including amplitude, peak frequency, and RA value (the ratio of rising time and amplitude) were selected for the clustering analysis of AE signals based on k‐means algorithm.…”
Section: Resultsmentioning
confidence: 99%
“…AE technology can collect damage signals generated during failure process of structures in real time, therefore, AE monitoring has been widely used for the damage detection and location of composites and provides meaningful information for the understanding of different damage modes 19,20 . Until now, there have been many reports about the damage monitoring of AE technology to Kevlar fiber‐reinforced composites produced by traditional manufacturing methods 21 .…”
Section: Introductionmentioning
confidence: 99%
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“…As a representative fabric type, knitted fabrics have been considered as the reinforcement in composite materials. They have exhibited more outstanding properties than other fabrics of different architectures, such as good elongation and drape, 4 good formability, 5 high energy absorption capability, 6 and great impact resistance 7 …”
Section: Introductionmentioning
confidence: 99%
“…They have exhibited more outstanding properties than other fabrics of different architectures, such as good elongation and drape, 4 good formability, 5 high energy absorption capability, 6 and great impact resistance. 7 Aramid and UHMWPE fibers both possess the advantages of high specific modulus and high specific strength, and their composite materials have exhibited excellent mechanical properties. 8,9 Owing to lacking polar groups on the surface and presenting a smooth surface morphology, however, these fibers show poor adhesion at the interface with the resin matrix.…”
Section: Introductionmentioning
confidence: 99%