Collaborative optimization of linear vibrating screen screening efficiency and dynamic response stability based on coupled DEM-MBK simulation
作者机构：Key Laboratory of Metallurgical Equipment and Control TechnologyWuhan University of Science and TechnologyWuhan430081China
出 版 物：《Particuology》 (颗粒学报（英文版）)
年 卷 期：2023年第78卷第7期
页 面：49-61页
核心收录：
学科分类：07[理学] 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）] 0701[理学-数学]
基 金：supported by the Unveils Major Projects of Hubei Province(grant No.2019AEE015) The authors acknowledge the help by Ezhou City Machinery and Equipment Green Intelligent Manufacturing Enterprise and School Joint Innovation Center.
主 题：Discrete element method Multi-rigid body kinematics Coupled simulation Dynamic response stability Linear vibrating screen
摘 要：The dynamic response stability of the vibrating screen is an important factor affecting the screening effect and the structural performance of the vibrating screen.In this paper,to improve dynamic response stability and screening efficiency,we optimized the configuration of linear screening process parameters based on the co-optimization method with dual objectives via the virtual experiment.Firstly,a coupled DEM-MBK simulation model was established according to the dynamics of linear screen,and the dy-namic response law of the screen machine under material impact was investigated.Secondly,the quantitative index of dynamic response stability according to the time-domain characteristics of the centroid amplitude was established.The trend and significance of three types of screening process pa-rameters,including excitation,damping and structure,on the screening efficiency and dynamic response stability were analyzed through virtual orthogonal experiments.Finally,a parameter configuration scheme to achieve co-optimization was proposed based on the comprehensive balance method.The virtual experiment results show that the screening efficiency and dynamic response stability of the proposed scheme are improved by 3.28%and 49.07%,respectively,compared with the empirical parameter configuration.Obviously,the co-optimization method can maintain high screening efficiency and dynamic response stability at the same time,which is beneficial to improve the service life of the screen surface and screen body.
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