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| Modeling and Simulation of SiCp/Al Composite Under Working Conditions |
| GENG Kun, ZHANG Jie, ZHANG Di |
| (State Key Laboratory of Metal Matrix Composites, Shanghai Jiao Tong University, Shanghai 200240, China) |
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Abstract This paper developed a parametric modeling program to simulate SiCp/Al composite based on the finite
element method. This modeling program developed by Python script in Abaqus, was able to achieve the visualizations of
the modeling process by implementing graphical user interface (GUI). The parameters of particles like sizes, shapes, volume
fractions and distribution are controllable in this user interface. In addition, a 3D representative volume element (RVE)
was created for studying the microstructures of SiCp/Al composite. In order to simulate the composite’s elastic-plastic
deformation process as well as its crack generation and propagation, different deformation behaviors were considered in
the simulation, including the particle’s elastic-brittle failure, the matrix’s elastoplastic-damage, and the interface’s tractionseparation
behaviors. To investigate the relationships between the microstructure and the mechanical properties of SiCp/Al
composite, this paper built the finite element models with different particle volume fractions under different working conditions.
Firstly, the impacts of particle volume fractions of 7% and 14% on the composite’s deformation and damage behavior
were studied through out the tension process. Secondly, for the 7% particle volume fraction model, the compression process
was simulated and compared with the tension process. Finally, the mechanism of the composite’s deformation and damage
under various loads conditions was analyzed. It had been proven that this parametric modeling program was feasible
to build the particle reinforced metal matrix composite model based on its microstructure, and was of great significance in
studying the strengthening and toughing mechanism of composite as well as the relationships between the microstructure
and mechanical properties.
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2017, 
