Analysis and optimization of vibration characteristics of gyratory crusher based on DEM-MBD and PSO

Abstract

Dynamic analysis and optimization can improve the stability of gyratory crushers. In this research, a multibody dynamic (MBD) model of a gyratory crusher was built for motion simulation, and the discrete element method (DEM) was applied to describe ore breakage numerically. Specifically, both the stiffness and damping parameters were defined for vibration analysis. A bonding particle model (BPM) was used to extract the distributed breaking force. Then, actual production data was taken to determine the value ranges of key parameters in the established DEM-MBD co-simulation system such as the self-rotation friction coefficient of the mantle, stiffness and damping of the base. Furthermore, the influence of the horizontal stiffness and damping parameters on the vibration of the gyratory crusher was analyzed using the co-simulation results. A dynamic performance prediction model of the gyratory crusher was established using the kriging interpolation method. Finally, based on the prediction model, the particle swarm optimization (PSO) algorithm was applied for the multi-objective optimization of the gyratory crusher. The simulation results indicate that mantle movement is influenced by the horizontal stiffness and damping parameters, which became more complex with the extension of breaking time. The interaction between the stiffness coefficient and the damping coefficient in the Z direction significantly influences productivity. Additionally, horizontal vibrations are significantly affected by the damping coefficient in the Z direction. After optimization, the productivity increased by 10.96 %, the root mean square (RMS) value of the vibration velocity in the X direction decreased by 21.12 %, and that in the Z direction decreased by 4.21 %.