Parameter Optimization of Large Sag Mill Liner Based on DEM and Kriging Model
Ruihua Jiang1,2, Guoqiang Wang1,2, Jingxi Li3,2, Kang Kang Sun1,2, Yajuan Hou1,2
1School of Mechanical and Aerospace Engineering, Changchun, 130022 P. R. China
2Jilin University, Changchun, 130022 P. R. China
3School of Automobile Engineering, Changchun, 130022 P. R. China
Keywords: Semi-autogenous (SAG) mill, liner, Discrete Element Method, kriging model, optimization, genetic algorithm
Abstract
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.
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