Collaborative optimization of linear vibrating screen screening efficiency and dynamic response stability based on coupled DEM-MBK simulation--颗粒学报PARTICUOLOGY

Xia, X., Gou, L., Zhang, Z., Wang, L., Guo, Y., & Jing, W. (2023). Collaborative optimization of linear vibrating screen screening efficiency and dynamic response stability based on coupled DEM-MBK simulation. Particuology, 78, 49-61. https://doi.org/10.1016/j.partic.2022.09.008

Collaborative optimization of linear vibrating screen screening efficiency and dynamic response stability based on coupled DEM-MBK simulation

Xuhui Xia ¹, Lingxiao Gou ¹, Zelin Zhang ¹, Lei Wang ^*, Yuyao Guo ^*, Weimin Jing ¹

Key Laboratory of Metallurgical Equipment and Control Technology, Wuhan University of Science and Technology, Wuhan, 430081, China

10.1016/j.partic.2022.09.008

Volume 78, July 2023, Pages 49-61

Received 1 July 2022, Revised 25 August 2022, Accepted 18 September 2022, Available online 1 October 2022, Version of Record 2 January 2023.

E-mail: candywang@wust.edu.cn; guoyuyao@wust.edu.cn

Highlights

Abstract

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 dynamic 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 parameters, 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.

Graphical abstract

Keywords

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