Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume Fraction

In this paper, an integrated numerical model is proposed to investigate the effects of particulate size and volume fraction on the deformation, damage, and failure behaviors of particulate-reinforced metal matrix composites (PRMMCs). In the framework of a random microstructure-based finite element m...

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Main Authors: Shaimaa I. Gad, Mohamed A. Attia, Mohamed A. Hassan, Ahmed G. El-Shafei
Format: Article
Language:English
Published: MDPI AG 2021-04-01
Series:Materials
Subjects:
Online Access:https://www.mdpi.com/1996-1944/14/9/2143
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author Shaimaa I. Gad
Mohamed A. Attia
Mohamed A. Hassan
Ahmed G. El-Shafei
author_facet Shaimaa I. Gad
Mohamed A. Attia
Mohamed A. Hassan
Ahmed G. El-Shafei
author_sort Shaimaa I. Gad
collection DOAJ
description In this paper, an integrated numerical model is proposed to investigate the effects of particulate size and volume fraction on the deformation, damage, and failure behaviors of particulate-reinforced metal matrix composites (PRMMCs). In the framework of a random microstructure-based finite element modelling, the plastic deformation and ductile cracking of the matrix are, respectively, modelled using Johnson–Cook constitutive relation and Johnson–Cook ductile fracture model. The matrix-particle interface decohesion is simulated by employing the surface-based-cohesive zone method, while the particulate fracture is manipulated by the elastic–brittle cracking model, in which the damage evolution criterion depends on the fracture energy cracking criterion. A 2D nonlinear finite element model was developed using ABAQUS/Explicit commercial program for modelling and analyzing damage mechanisms of silicon carbide reinforced aluminum matrix composites. The predicted results have shown a good agreement with the experimental data in the forms of true stress–strain curves and failure shape. Unlike the existing models, the influence of the volume fraction and size of SiC particles on the deformation, damage mechanism, failure consequences, and stress–strain curve of A359/SiC particulate composites is investigated accounting for the different possible modes of failure simultaneously.
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spelling doaj.art-b0c684a4ee124bb19b17b3308141223e2023-11-21T16:48:00ZengMDPI AGMaterials1996-19442021-04-01149214310.3390/ma14092143Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume FractionShaimaa I. Gad0Mohamed A. Attia1Mohamed A. Hassan2Ahmed G. El-Shafei3Department of Mechanical Design and Production Engineering, Faculty of Engineering, Zagazig University, Zagazig P.O. Box 44519, EgyptDepartment of Mechanical Design and Production Engineering, Faculty of Engineering, Zagazig University, Zagazig P.O. Box 44519, EgyptDepartment of Mechanical Design and Production Engineering, Faculty of Engineering, Zagazig University, Zagazig P.O. Box 44519, EgyptDepartment of Mechanical Design and Production Engineering, Faculty of Engineering, Zagazig University, Zagazig P.O. Box 44519, EgyptIn this paper, an integrated numerical model is proposed to investigate the effects of particulate size and volume fraction on the deformation, damage, and failure behaviors of particulate-reinforced metal matrix composites (PRMMCs). In the framework of a random microstructure-based finite element modelling, the plastic deformation and ductile cracking of the matrix are, respectively, modelled using Johnson–Cook constitutive relation and Johnson–Cook ductile fracture model. The matrix-particle interface decohesion is simulated by employing the surface-based-cohesive zone method, while the particulate fracture is manipulated by the elastic–brittle cracking model, in which the damage evolution criterion depends on the fracture energy cracking criterion. A 2D nonlinear finite element model was developed using ABAQUS/Explicit commercial program for modelling and analyzing damage mechanisms of silicon carbide reinforced aluminum matrix composites. The predicted results have shown a good agreement with the experimental data in the forms of true stress–strain curves and failure shape. Unlike the existing models, the influence of the volume fraction and size of SiC particles on the deformation, damage mechanism, failure consequences, and stress–strain curve of A359/SiC particulate composites is investigated accounting for the different possible modes of failure simultaneously.https://www.mdpi.com/1996-1944/14/9/2143particulate-reinforced metal matrix composites (PRMMCs)damage mechanismsrandom microstructure-based modelvolume fractionparticulate sizefinite element method (FEM)
spellingShingle Shaimaa I. Gad
Mohamed A. Attia
Mohamed A. Hassan
Ahmed G. El-Shafei
Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume Fraction
Materials
particulate-reinforced metal matrix composites (PRMMCs)
damage mechanisms
random microstructure-based model
volume fraction
particulate size
finite element method (FEM)
title Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume Fraction
title_full Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume Fraction
title_fullStr Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume Fraction
title_full_unstemmed Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume Fraction
title_short Predictive Computational Model for Damage Behavior of Metal-Matrix Composites Emphasizing the Effect of Particle Size and Volume Fraction
title_sort predictive computational model for damage behavior of metal matrix composites emphasizing the effect of particle size and volume fraction
topic particulate-reinforced metal matrix composites (PRMMCs)
damage mechanisms
random microstructure-based model
volume fraction
particulate size
finite element method (FEM)
url https://www.mdpi.com/1996-1944/14/9/2143
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