Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling

Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling
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通过声发射监测和近场动力学建模分析 Al/TiC 颗粒复合材料的损伤行为

DOI:
10.1016/j.jcomc.2021.100206
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发表时间:
2021
期刊:
Open Access
影响因子:
--
通讯作者:
Ahmadi M
Ahmadi M
中科院分区:
--
文献类型:
--
作者:
Ahmadi M

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本研究的目的是在铝(Al)/TiC颗粒复合材料中使用声发射(AE)监测,基于微观结构的周向(PD)建模,和扫描电子显微镜(SEM)观察表征不同的损伤机制。采用热挤压工艺制备了TiC颗粒体积分数为20%的Al/TiC复合材料。通过图像处理从SEM图像中提取了几个具有代表性的体积元,研究了颗粒形貌对复合行为的影响。利用声发射信号的上升时间、能量、峰值幅度和持续时间对声发射信号进行聚类,并将声发射信号与变形和损伤机制相关联。PD模拟结果和SEM照片显示,损伤机制是在狭窄的TiC颗粒,Al基体之间的紧密颗粒,颗粒/基体的界面。颗粒的分布比损伤起始前的弹塑性变形对损伤起始模式的影响更大。检测到四个AE信号源,即,Al的塑性变形、Al/TiC脱粘、Al开裂和TiC颗粒断裂。根据波形特征和PD模型预测各机制发生的时间间隔,对各机制的AE信号进行聚类。PD模型和AE技术预测的变形和损伤机制的时序相同,但AE技术预测的各机制出现的时间略早于PD模型。
The aim of this study is to characterize different damage mechanisms in an Aluminum (Al)/TiC particulate composite using acoustic emission (AE) monitoring, microstructure-based peridynamic (PD) modeling, and scanning electron microscope (SEM) observations. The Al/TiC composite with a 20% volume fraction of TiC particles was produced using hot extrusion. Several representative volume elements (RVEs) were extracted from the SEM images by image processing, and the effect of particle morphology on the composite behavior was investigated. Rise time, energy, peak amplitude, and duration of the AE signals were utilized for clustering and relating the AE signals to deformation and damage mechanisms. PD modeling results and SEM pictures revealed that the damage mechanisms were initiated in the narrow TiC particles, Al matrix between close particles, and interface of the particle/matrix. The distribution of the particles had more effect on the damage initiation pattern than elastoplastic deformation before the damage initiation. Four sources of the AE signals were detected, i.e., plastic deformation of the Al, Al/Tic debonding, Al cracking, and fracture of the Tic particle. The AE signals of each mechanism were clustered by properties of waveform and by considering the predicted time interval of occurrence of each mechanism by PD modeling. PD model and AE technique predict the same sequence time of deformation and damage mechanisms, but the AE technique predicts the occurring time of each mechanism slightly earlier than the PD model.
显微组织%20evolution%20and%20摩擦学%20性能%20for%20new%20AlSi9Cu3/5%GrCu%20复合材料
DOI: --
发表时间: 2015
期刊:
影响因子: --
作者:
P. Moldovan;I. Csáki;G. Popescu;M. Lucaci;M. Lungu;Mihai Buțu
通讯作者: Mihai Buțu
DOI: 10.1007/s12633-020-00426-0
发表时间: 2020-03
期刊: Silicon
影响因子: 3.4
作者:
K. Thirukkumaran;C. Mukhopadhyay
通讯作者: K. Thirukkumaran;C. Mukhopadhyay