Real-time damage analysis of 2D C/SiC composite based on spectral characters of acoustic emission signals using pattern recognition

Zeng, Xianglong; Shao, Hui; Pan, Rong; Wang, Bo; Deng, Qiong; Zhang, Chengyu; Suo, Tao

doi:10.1007/s10409-022-22177-x

Cited by 12 publications

(2 citation statements)

References 50 publications

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“…[23][24][25][26][27][28][29] C/SiC composites are mainly processed by polymer infiltration and pyrolysis (PIP), hot press sintering, reactive melt infiltration, and chemical vapor infiltration (CVI). [30][31][32][33][34][35][36][37] Among them, the PIP process has three significant advantages. 1) The compositional structure can be easily designed.…”

Section: Introductionmentioning

confidence: 99%

Service Characteristic Evolution of 3D Four‐Directional Braided C/SiC Ceramic Matrix Composites Under Space Electron Radiation Erosion Environment

Zhang,

Yang,

Bai

2024

Adv Eng Mater

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The specific effects on the evolution of microstructure, components and mechanical properties of the three‐dimensional braided C/SiC composites under different‐time electron irradiation environment tests were analyzed and discussed to elaborate the corresponding corrosion damage mechanism. The damage to the C/SiC composites was intensified by the continuous electron irradiation, the areas of surface bulges and cracks were significantly enlarged, and the surface roughness increased. The density of white dots on the surface of the specimen increased as the electron irradiation time was prolonged, while the size did not change significantly, and the oxygen content on the surface of the specimen increased to some extent. With the prolongation of electron irradiation time, the decrease of bending strength of C/SiC composites increased, but did not level off after a certain degree, probably because of the existence of certain pores on the surface layer of the C/SiC composite. With the increase of electron radiation time, the crack defects on the surface layer of the C/SiC composite increased, and the electron radiation further damaged the internal matrix and reinforcing fibers in the C/SiC composite, thus the mechanical properties declined continuously and seriously after the radiation exceeded 1 h.This article is protected by copyright. All rights reserved.

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Section: Introductionmentioning

confidence: 99%

Service Characteristic Evolution of 3D Four‐Directional Braided C/SiC Ceramic Matrix Composites Under Space Electron Radiation Erosion Environment

Zhang,

Yang,

Bai

2024

Adv Eng Mater

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“…Therefore, it is a challenging task to extract effective features from raw AE signals and maintaining the interpretability of this process. Currently, the traditional feature extraction methods of AE signal mainly include parametric methods [16][17][18][19] and waveform analysis method [20][21][22][23]. The parameters are derived straight from the initial signals or from the AE hit.…”

Section: Introductionmentioning

confidence: 99%

Filament extrusion state monitoring in fused filament fabrication using Bhattacharyya distance and K-nearest neighbor

Li,

Yang,

wang

et al. 2023

Meas. Sci. Technol.

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Fused filament fabrication (FFF) is one of the most popular techniques of additive manufacturing. However, product quality issues still limit the further application of FFF technology. Filament extrusion state has a great influence on the quality of FFF fabricated products, since both under-extrusion and over-extrusion can lead to the deterioration of product quality. Therefore, monitoring the filament extrusion states is vital and essential. This paper aims to monitor the filament extrusion state by acoustic emission (AE). To achieve this goal, experiments are conducted on a desktop FFF machine, where the states of under-extrusion and over-extrusion are induced by different extrusion speeds. Original AE signals are collected during the experiments. Confronted with the challenge posed by the susceptibility of AE signals to noise during the complex extrusion process and different conditions, one calculates the statistical distribution of the features defined on the raw AE signals, without the need for noise reduction steps. The k-nearest neighbor algorithm is then adopted to identify the different extrusion states, where the Bhattacharyya distance is employed to measure the distances or similarities of the calculated distributions. The findings demonstrate the successful identification of various extrusion states induced by different extrusion speeds through the presented method. The outcomes of this study pave the way for the development of an affordable in-situ FFF monitoring system with comprehensive capabilities.

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Effects of thermal aging on damage evolution behavior of glass fiber reinforced composites with multilayer graphene by acoustic emission

Wang

Zhou

Guo

et al. 2022

J of Applied Polymer Sci

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The thermal aging behavior of glass fiber reinforced composites has attracted much attention because of its application in elevated temperatures environments. In this study, to improve the thermal aging resistance performance of composites, multilayer graphene was embedded in glass fiber reinforced composites and the damage evolution behaviors of the composites after thermal aging treatments were investigated. The mapping relationship between damage modes and acoustic emission parameters is established by principal component analysis and k-means clustering methods, then the acoustic emission data were trained by K-Nearest Neighbor algorithms to obtain a damage modes identification model with positive predictive values above 90%. The results showed that more matrix cracking signals are captured (or matrix cracking accumulation acoustic emission (AE) energy is abruptly raised) at the early stage of loading after 32 days of thermal aging. With the addition of multilayer graphene, the fiber/matrix debonding accumulation AE energy is significantly less than the matrix cracking accumulation AE energy, which is more obvious after thermal aging. Damage initiation and extension obtained by the acoustic emission events help to find the correlation between aging time and interior interface damage mechanism.

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Real-time damage analysis of 2D C/SiC composite based on spectral characters of acoustic emission signals using pattern recognition

Cited by 12 publications

References 50 publications

Service Characteristic Evolution of 3D Four‐Directional Braided C/SiC Ceramic Matrix Composites Under Space Electron Radiation Erosion Environment

Service Characteristic Evolution of 3D Four‐Directional Braided C/SiC Ceramic Matrix Composites Under Space Electron Radiation Erosion Environment

Filament extrusion state monitoring in fused filament fabrication using Bhattacharyya distance and K-nearest neighbor

Effects of thermal aging on damage evolution behavior of glass fiber reinforced composites with multilayer graphene by acoustic emission

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