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

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 optimiz...

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Bibliographic Details
Published inJournal of mining science Vol. 57; no. 1; pp. 32 - 44
Main Authors Jiang, Ruihua, Wang, Guoqiang, Li, Jingxi, Sun, Kang Kang, Hou, Yajuan
Format Journal Article
LanguageEnglish
Published Moscow Pleiades Publishing 2021
Springer
Springer Nature B.V
Subjects
Autogenous grinding
Autogenous mills
Design
Design optimization
Design parameters
Earth and Environmental Science
Earth Sciences
Energy consumption
Geophysics/Geodesy
Geotechnical Engineering & Applied Earth Sciences
Grinding mills
Mineral Resources
Optimization
Parameters
Rock Failure
Statistical methods
genetic algorithm
Kriging model
Semi-autogenous (SAG) mill
optimization
liner
Discrete Element Method
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Summary: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.
ISSN:1062-7391
1573-8736
DOI:10.1134/S1062739121010051