Numerical simulation of structures and distributions of particles in MAGIC fluid

Due to its lower simulation speed, traditional Stokesian Dynamics Method is limited to a small amount of particles. To speed up the simulation and simulate more particles, cluster-based Stokesian Dynamics Method and a search method called movable hash algorithm were applied. Based on the above methods, effects of magnetic field, size and concentration of particles on their final distributions were examined, which shows that strong magnetic field, high concentration and small-size particles can induce more uniform distributions of APs in MAGIC fluid, thus providing theoretical basis for manufacturing of MAGIC polishing stone.