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

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 frac...

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Autores principales:	Morteza Ahmadi, PhD, Mohamad Fotouhi, PhD, Hossein Hosseini-Toudeshky, PhD, Mojtaba Sadighi, PhD
Formato:	article
Lenguaje:	EN
Publicado:	Elsevier 2021
Materias:	Acoustic emission Peridynamics Al/TiC composite Damage mechanisms Materials of engineering and construction. Mechanics of materials TA401-492
Acceso en línea:	https://doaj.org/article/08922f56c14d4efbb8f18ee08733d4a6
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id	oai:doaj.org-article:08922f56c14d4efbb8f18ee08733d4a6
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spelling	oai:doaj.org-article:08922f56c14d4efbb8f18ee08733d4a62021-11-12T04:48:41ZDamage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling2666-682010.1016/j.jcomc.2021.100206https://doaj.org/article/08922f56c14d4efbb8f18ee08733d4a62021-10-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2666682021000992https://doaj.org/toc/2666-6820The 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.Morteza Ahmadi, PhDMohamad Fotouhi, PhDHossein Hosseini-Toudeshky, PhDMojtaba Sadighi, PhDElsevierarticleAcoustic emissionPeridynamicsAl/TiC compositeDamage mechanismsMaterials of engineering and construction. Mechanics of materialsTA401-492ENComposites Part C: Open Access, Vol 6, Iss , Pp 100206- (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Acoustic emission Peridynamics Al/TiC composite Damage mechanisms Materials of engineering and construction. Mechanics of materials TA401-492
spellingShingle	Acoustic emission Peridynamics Al/TiC composite Damage mechanisms Materials of engineering and construction. Mechanics of materials TA401-492 Morteza Ahmadi, PhD Mohamad Fotouhi, PhD Hossein Hosseini-Toudeshky, PhD Mojtaba Sadighi, PhD Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling
description	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.
format	article
author	Morteza Ahmadi, PhD Mohamad Fotouhi, PhD Hossein Hosseini-Toudeshky, PhD Mojtaba Sadighi, PhD
author_facet	Morteza Ahmadi, PhD Mohamad Fotouhi, PhD Hossein Hosseini-Toudeshky, PhD Mojtaba Sadighi, PhD
author_sort	Morteza Ahmadi, PhD
title	Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling
title_short	Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling
title_full	Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling
title_fullStr	Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling
title_full_unstemmed	Damage behavior analysis of Al/TiC particulate composite by acoustic emission monitoring and peridynamic modeling
title_sort	damage behavior analysis of al/tic particulate composite by acoustic emission monitoring and peridynamic modeling
publisher	Elsevier
publishDate	2021
url	https://doaj.org/article/08922f56c14d4efbb8f18ee08733d4a6
work_keys_str_mv	AT mortezaahmadiphd damagebehavioranalysisofalticparticulatecompositebyacousticemissionmonitoringandperidynamicmodeling AT mohamadfotouhiphd damagebehavioranalysisofalticparticulatecompositebyacousticemissionmonitoringandperidynamicmodeling AT hosseinhosseinitoudeshkyphd damagebehavioranalysisofalticparticulatecompositebyacousticemissionmonitoringandperidynamicmodeling AT mojtabasadighiphd damagebehavioranalysisofalticparticulatecompositebyacousticemissionmonitoringandperidynamicmodeling
_version_	1718431210874601472

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

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