Fatigue damage identification of SiC coated needled C/SiC composite by acoustic emission

Hou, Geng; Shang, De‐Guang; Zuo, Lin‐Xuan; Qu, Lin‐Feng; Guo, Yi‐Er; Xia, Ming; Wu, Shuzhen; Yin, Xiang

doi:10.1016/j.ceramint.2021.02.071

Cited by 24 publications

(9 citation statements)

References 32 publications

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“…Moreover, Maleki et al [ 14 ] utilized AE energy to characterize the failure of specimens and discriminated between AE signals from aluminum cracking and adhesive layer failure according to their energy content. Hou et al [ 15 ] investigated the correlation between the characteristics of an AE signal (for example, count, energy, and amplitude) and the damage modes of a needled C/SiC composite during fatigue tests. Chai et al [ 16 ] used AE multi-parameter analysis to study the FCG behavior of 2.25Cr1Mo0.25V steel.…”

Section: Introductionmentioning

confidence: 99%

Study on Acoustic Emission Characteristics of Fatigue Damage of A7N01 Aluminum Alloy for High-Speed Trains

et al. 2023

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Online monitoring of the fatigue damage process of A7N01 aluminum alloy base metal and weld seam was conducted based on acoustic emission (AE) and digital microscopic imaging technology. The AE signals were recorded during the fatigue tests and analyzed using the AE characteristic parameter method. Fatigue fracture was observed using scanning electron microscopy (SEM) to analyze the source mechanism of AE. The AE results show that the AE count and rise time can effectively predict the initiation of fatigue microcracks in A7N01 aluminum alloy. The digital image monitoring results of a notch tip verified the prediction of fatigue microcracks using the AE characteristic parameters. In addition, the AE characteristics of the A7N01 aluminum alloy under different fatigue parameters were studied, and the relationships between the AE characteristic values of the base metal and weld seam and the crack propagation rate were calculated using the seven-point recurrence polynomial method. These provide a basis for predicting the remaining fatigue damage in the A7N01 aluminum alloy. The present work indicates that AE technology can be used to monitor the fatigue damage evolution of welded aluminum alloy structures.

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Section: Introductionmentioning

confidence: 99%

Study on Acoustic Emission Characteristics of Fatigue Damage of A7N01 Aluminum Alloy for High-Speed Trains

et al. 2023

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“…Spectral analysis technology and multiparameter statistical analysis methods are used to separate the collected AE signals to discriminate and identify the modes and degree of internal damage of the components by the dominant AE signals. [23][24][25][26][27][28] Saeedifar et al [29] established the analytical correlation between the AE energy with the released strain energy to investigate the delamination propagation in glass/epoxy composites under mode I quasi-static and fatigue loading conditions. Andrew et al [30] used the real-time AE monitoring results to depict different damage profiles and link them with mechanical test results to reveal the load to a change in failure mechanisms of repaired glass/epoxy specimens during mechanical loading.…”

Section: Introductionmentioning

confidence: 99%

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

et al. 2022

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In this study, the fatigue damage modes of carbon fiber/epoxy composite laminates with symmetrical architecture were investigated by acoustic emission (AE) technique under fully reversed loading. The principal component analysis and the K‐means cluster analysis using correlation AE characteristic parameters, including the energy, the amplitude, and the duration time, were performed to identify various damage modes during the fatigue test process. The analysis results of the AE signals indicated that the high‐intensity AE signals were generated by the compressive load and the low‐intensity AE signals were generated by the tensile load. The maximum energy and duration time generated by the compression load are approximately 20 and 10 times that of the tensile load, respectively, which was consistent with the force‐controlled static test results under tension and compression loadings. Therefore, the fatigue damage caused by the compressive load is much greater than that of tensile load under fully reversed loading. The results of the multi‐AE parametric clustering analysis combined with scanning electron microscope micromorphology revealed that the damage modes of the laminate specimens were classified into five types, namely matrix cracks, fiber/epoxy interface debonding, shear, delamination, and fiber breakage. In addition, the damage modes at different stages during the fatigue test process were also analyzed and discussed.

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Section: Introductionmentioning

confidence: 99%

“…To ensure the reliability and safety of C/ SiC components during the operation stage, it is necessary to perform an investigation on the cyclic fatigue damage behavior and lifetime prediction. [4][5][6][7][8][9] Under cyclic fatigue loading at elevated temperature, multiple fatigue damage mechanisms occur and degrade the mechanical performance in the C/SiC composite. 10,11 Li 12,13 investigated cyclic-fatigue damage evolution of unidirectional and cross-ply C/SiC composites at elevated temperature T = 800 o C in air atmosphere.…”

Section: Introductionmentioning

confidence: 99%

Stochastic fatigue life prediction in C/SiC composites at elevated temperature by micromechanics-based damage model

2022

Proceedings of the Institution of Mechanical Engineers, Part L:

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In this paper, a micromechanical approach is developed to predict the fatigue life and fracture process in different C/SiC composites subjected to different stochastic fatigue loading spectrums at elevated temperatures. Three types of stochastic fatigue load spectrums are considered in the fatigue life prediction at elevated temperature, that is, constant, increasing, and decreasing stochastic stress with cycles. Stress distribution between intact and broken fibers and the broken fibers fraction under stochastic fatigue loading spectrum are determined using the Global Load Sharing criterion considering multiple fatigue damage mechanisms at elevated temperatures. A new damage parameter of fatigue life degradation rate is developed to characterize the effect of stochastic loading on fatigue damage and fracture in C/SiC composites. Relationships between stochastic fatigue loading spectrum, broken fibers fraction, fatigue life, and fatigue life degradation rate in different C/SiC composite are established. Effects of stochastic fatigue loading spectrum type, stress level, and testing temperature on fatigue life degradation rate are discussed. The fatigue life degradation rate is very sensitive to the fiber preform, loading sequence, and testing temperature.

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Fatigue damage identification of SiC coated needled C/SiC composite by acoustic emission

Cited by 24 publications

References 32 publications

Study on Acoustic Emission Characteristics of Fatigue Damage of A7N01 Aluminum Alloy for High-Speed Trains

Study on Acoustic Emission Characteristics of Fatigue Damage of A7N01 Aluminum Alloy for High-Speed Trains

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

Stochastic fatigue life prediction in C/SiC composites at elevated temperature by micromechanics-based damage model

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