PARAMETER OPTIMIZATION OF LARGE SAG MILL LINER BASED ON DEM AND KRIGING MODEL

被引：0
|
作者：
Jiang, Ruihua [1 ]
Wang, Guoqiang [1 ]
Li, Jingxi [1 ]
Sun, Kang Kang [1 ]
Hou, Yajuan [1 ]
机构：
[1] Jilin Univ, Sch Mech & Aerosp Engn, Changchun 130022, Peoples R China
来源：
JOURNAL OF MINING SCIENCE | 2021年 / 57卷 / 01期
基金：
中国国家自然科学基金;
关键词：
Semi-autogenous (SAG) mill; liner; Discrete Element Method; Kriging model; optimization; genetic algorithm; WEAR; BEHAVIOR; LIFTERS; PERFORMANCE; CAPACITY; MOTION;
D O I：
10.1134/S1062739121010051
中图分类号：
TD [矿业工程];
学科分类号：
0819 ;
摘要：
The authors analyze the influence of the semi-autogenous (SAG) mill parameters on the mill grinding efficiency, energy consumption and the tangential cumulative contact energy. This paper provides a new liner parameter design and optimization method, which offers theoretical guidance for the optimization design of liner parameters.
引用
收藏
页码：32 / 44
页数：13
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