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Acoustic Emission Damage - Wiley Online Library

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Last Updated: 03 May 2022

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Identification of fatigue damage modes for carbon fiber/epoxy composites using acoustic emission monitoring under fully reversed loading

The fatigue damage modes of carbon fiber/epoxy composite laminates with symmetrical architecture were investigated by acoustic emission technology under completely reversed loading in this report. To identify various damage modes during the fatigue testing process, the principal component analysis and the Kmeans cluster analysis were conducted using correlation AE characteristic parameters, including the energy, the amplitude, and the duration time. The compression load and the low-intensity AE signals were generated by the tensile load, according to the analysis results. The maximum energy and duration time generated by the compression load are estimated to be between 20 and ten times that of the tensile load, respectively, and was consistent with the force-controlled static test findings under tension and compression loadings. Also, the fatigue created by the compressive load is much greater than that of tensile load under fully reversed loading.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/pc.26622


Features of acoustic emission and micro‐CT of 3D‐printed continuous Kevlar fiber‐reinforced composites during progressive damage under flexural load

Specimen B's bending strength increases by 23% relative to Specimen A, according to the test results. For deeper analysis of AE signals, the Cumulative number and dynamism of AE signals is higher for Specimen B, and Kmeans clustering algorithm is used. The main injury mode of 3D-printed Kevlar fiber-reinforced composites is poor adhesion between fiber and matrix, and Debonding due to poor adhesion between fiber and matrix is the most destructive component of 3D printed Kevlar composites, with injuries of Specimen B concentrated in the later stage.

Source link: https://onlinelibrary.wiley.com/doi/10.1002/app.52296

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions

* Please keep in mind that all text is summarized by machine, we do not bear any responsibility, and you should always check original source before taking any actions