Open Access

ARTICLE

A Numerical Modeling of Failure Mechanism for SiC Particle Reinforced Metal-Metrix Composites

by Qiubao Ouyang¹, Di Zhang¹, Xinhai Zhu³, Zhidong Han³

1 State Key Laborary of Metal Matrix Composites, Shanghai Jiao Tong University, 800 Dong chuan Road, Shanghai 200240, China.
2 Corresponding Author
3 Livermore Software Technology Corporation, 7374 Las Positas Road, Livermore, CA 94551.

Computers, Materials & Continua 2014, 41(1), 37-54. https://doi.org/10.3970/cmc.2014.041.037

Abstract

The present work is to investigate the failure mechanisms in the deformation of silicon carbide (SiC) particle reinforced aluminum Metal Matrix Composites (MMCs). To better deal with crack growth, a new numerical approach: the MLPG-Eshelby Method is used. This approach is based on the meshless local weak-forms of the Noether/Eshelby Energy Conservation Laws and it achieves a faster convergent rate and is of good accuracy. In addition, it is much easier for this method to allow material to separate in the material fracture processes, comparing to the conventional popular FEM based method. Based on a statistical method and physical observations, the hard SiC particles are distributed randomly over the cubic space of the matrix. Four failure mechanisms are found to be critical to the accurate prediction of the mechanical properties of MMCs: a) the failure inside the matrix; b) the failure between the interface of aluminum matrix and the SiC particles; c) the fracture of the SiC particles; and d) the separation of two neighboring SiC particles. Plastic work is used as a failure criterion. It is found that the current approach can accurately predict the mechanical behavior of MMCs, including Young's moduls, stress strain curve, tensile strength, and limit strain. When the SiC volume fraction is low, the interface failure is more important; while for the case of high SiC volume fraction, all the four failure mechanisms work together to affect the mechanical property for the composite structure.

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Keywords

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