A systematic review of vibration separation mechanism of multi-factor and multi-curve superposition for multi-component mixed particles

Abstract

In this study, the discrete element method (DEM) and experimental means are proposed to be used, combined with theoretical mechanics, powder mechanics, fluid mechanics, mechanical vibration and other mechanical theories. When studying the multi-factor and multi-curve superimposed vibration of multi-component mixed particles, the structure of vibrating body, vibration combination order, vibration time, vibration frequency, amplitude, particle factors and other factors affect the dynamic parameters, kinematic parameters, particle layer flow field, organization field and other laws of the separation process of multi-component mixed particles. Reveal the evolution mechanism of the breeding, growth, formation and decay of the separation configuration of multicomponent mixed particles, and carry out SPSS multivariate statistics and regression analysis to establish the corresponding mathematical model. On the basis of the above, a multifactor and multi-curve superposition vibration separation experiment was carried out on the mixed particles of metal ore, and the separation process was effectively controlled by using MATLAB neural network tool. Finally, it is proposed to use the bionic method to observe the manually superimposed vibration modes such as round screen and dustpan, and use the bionic hand and bionic joint to design the mechanical and electrical drawings, action flow diagrams and specific procedures of the equipment, and manufacture the corresponding vibration equipment. The work will enrich the theory of vibration separation of mixed particles, and provide useful theoretical reference and practical equipment for the vibration separation process of multi-component mixed particles with different shapes, sizes and densities.