Collaborative optimization of screening efficiency and screen surface load - Part I: Modeling and evaluation

A B S T R A C T The screen surface load (SSL) caused by granular materials is an important factor affecting the structural performance of vibrating screen. Based on virtual experiment, a multi-objective collaborative optimiza-tion method is proposed to control the SSL under high screening efficiency (SE) in this work. Firstly, a DEM model was established to study the influence of process parameters on SE and SSL. Secondly, the NSGA-II (Non-dominated Sorting Genetic Algorithm) was employed to optimize the screening parameters with both SE and SSL as targets. The optimization method proves to be effective implementing on a linear vibrating screening. With SE equals to 98.5%, the SSL optimizable range is 39.2%. While compromising the SE to 88.7%, the SSL optimizable range improves to 48.6%. The result shows that the collaborative optimization could effectively control the SSL while maintaining a high SE, which is of great significance to improve the service life of screen surface and screen body. (c) 2021 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.