Study On The Method To Predict Dynamic Mechanical Property Of Particle Reinforced Metal-Matrix Composite

In this paper, the computational micro-mechanics method (CMM) was used to simulate SHPB experiment of PRMMCs. A two-dimensional multi-particle random model was adopted to predict dynamic mechanical property of particle reinforced metal-matrix composite. In this method, the SHPB's specimen of PRMMCs was generated by the following step: firstly, the inclusions are generated randomly; secondly, the finite element mesh was generated. The SiC/6061-T6Al composite is used to carry out numerical experiment, and the Johnson-Holmquist (JH-2) damage model was used to describe the ceramic mechanics behaviour. Finally, the LS-Dyna3D commercial code was used to carry out numerical experiment. For verifying the correction of numerical experiment, the prediction results of PRMMCs' dynamic properties were compared with SHPB experiment.Based on these studies, the following conclusions can be obtained:1. The computational result shows that the strain rate has strong influence on the flow stress of composite. The flow stress has a non-linear increase trend along with the increase of strain rate. These are consistent with the result of SHPB experiment.2. The computational result that the ceramic's volume fraction has distinct influence on the dynamic properties of composite, especially on the yield stress of composite. These are consistent with the result of SHPB experiment.3. The computational result shows that the flow stress becomes higher with the decrease of particles' size at the same volume fraction. But the results of SHPB experiment are not consistent with the computational results and references. This phenomenon may result from the defects of the specimens.4. The computational result shows that the reinforced effect of composite is not only simply influenced particles' shape but also influenced by damage level of the matrix and reinforced phase. Sharp-angled particles are more prone to damage as well as the particles that have big aspect ratio.5. The real experiment parameters were used to simulate the process of the SHPB again. Good fitting curve of the prediction result and SHPB experiment can be obtained.