Collaborative optimization of screening efficiency and screen surface load-PartⅠ:Modeling and evaluation
作者机构:Key Laboratory of Metallurgical Equipment and Control TechnologyWuhan University of Science and TechnologyWuhan 430081China
出 版 物:《Particuology》 (颗粒学报(英文版))
年 卷 期:2022年第20卷第10期
页 面:77-87页
核心收录:
学科分类:08[工学] 0817[工学-化学工程与技术] 0805[工学-材料科学与工程(可授工学、理学学位)]
基 金:supported by the Unveils Major Projects of Hubei Province(2019AEE015) Graduate Innovation and Entrepreneurship Fund of Wuhan University of Science and Technology(JCX2020030).
主 题:Vibrating screen Discrete element method Screening efficiency Screen surface load Collaborative optimization
摘 要: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.