The prediction of the dynamic responses of ceramic particle reinforced MMCs by using multi-particle computational micro-mechanical method

The dynamic properties of SiCp/Al composites fabricated by spark plasma sintering with powders prepared by mechanical alloying process

“…In this plot, the higher the strain is, the higher the strain rate for the discrete points, namely the effect of the strain on the damage is coupled with that of the strain rate. Previous researches have revealed that the increasing strain rate has no obvious effect on the microstruc- tural damage in composites [2,27], so the tendency of the damage increasing with the strain is mainly with respect to the increasing strain as shown in Fig. 8.…”

“…There are two main factors responsible for strain softening: (1) adiabatic heating, which is caused by the adiabatic character of the dynamic deformation process results in a significant temperature increase in the specimen at large strains, and (2) the successive microstructural damage, which takes place in the composites during the dynamic deformation process. Previous researches [2,27] have revealed that the strain rate has no obvious effect on the microstructural damage evolution in the composite, and the damage increases with the increasing strain. The strain hardening of the quasi-static stress-strain curves in the whole tested strain range indicates that it is the adiabatic heating that dominates the strain softening of the composites under dynamic loads.…”

LDRD final report : mesoscale modeling of dynamic loading of heterogeneous materials

“…For impact of a thin (0.4 mm) plate of annealed copper on a copper plate (3 mm thick) at 350 -400 m/s, predictions show heterogeneity-caused velocity dispersion of [3:8] during the release (which has a slope of -1 m/s per ns). However, data from copper bicrystal shots at lower impact velocities ( [100] and [124] orientations) showed velocity deviations of several times this, together with strong side-running waves (reshocks/releases) apparently caused by the material anisotropy ( Figure 17). This suggested the numerical predictions might be low.…”

“…More recently, Grujicic and coworkers [48] used a dynamic mixture model in order to investigate the propagation of structured waves within Al/SiC MMCs. Conventional numerical modeling of MMCs is typically conducted at the continuum scale by considering a unit cell model containing a single or multiple idealized reinforcement particle(s) such as a fiber (in the shape of an ellipsoid), a whisker (in the shape of a cylinder) or a particle (idealized as a sphere) embedded in a homogeneous host matrix via computational micromechanics [71,10,99,124,103,107]. Li and Ramesh [71] for example performed a parametric study of the influence of particle volume, shape and aspect ratio on the behavior of particle-reinforced MMCs at high strain by using an axisymmetric unit cell model with particles treated as elastic ellipsoids or cylinders embedded in an homogeneous visco-plastic matrix.…”

Feature extraction and reconstruction of particles reinforced metal matrix composite microstructure

“…So it becomes the hot research issue of materials science and mechanics, multi-particles primitive cell method. [8][9][10][11][12] shows a new developed method to predict the mechanical properties of composites in recent years, and the method is more effective than other methods to research the effect of microstructure, particles size, volume fraction, distribution of particles and etc on the mechanical behavior of PRMMCs. In this method, the microstructure of composite has been reconstructed on the base of composite microstructure characteristic firstly, then the numerical model of reconstructed microstructure has been generated for predicting the properties of composites, the mechanical properties of composites has been obtained by numerical analysis based on the above numerical model.…”