Influence of charge size distribution on net-power draw of tumbling mill based on DEM modelling

Djordjevic, N. (2005) Influence of charge size distribution on net-power draw of tumbling mill based on DEM modelling. Minerals Engineering, 18 3: 375-378.


Author Djordjevic, N.
Title Influence of charge size distribution on net-power draw of tumbling mill based on DEM modelling
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
1872-9444
Publication date 2005-03
Sub-type Article (original research)
DOI 10.1016/j.mineng.2004.06.001
Volume 18
Issue 3
Start page 375
End page 378
Total pages 4
Editor B.A. Wills
Place of publication Kidlington, Oxford, U.K.
Publisher Pergamon
Collection year 2005
Language eng
Subject C1
290701 Mining Engineering
640200 Primary Mining and Extraction Processes
Abstract Modelling and optimization of the power draw of large SAG/AG mills is important due to the large power draw which modern mills require (5-10 MW). The cost of grinding is the single biggest cost within the entire process of mineral extraction. Traditionally, modelling of the mill power draw has been done using empirical models. Although these models are reliable, they cannot model mills and operating conditions which are not within the model database boundaries. Also, due to its static nature, the impact of the changing conditions within the mill on the power draw cannot be determined using such models. Despite advances in computing power, discrete element method (DEM) modelling of large mills with many thousands of particles could be a time consuming task. The speed of computation is determined principally by two parameters: number of particles involved and material properties. The computational time step is determined by the size of the smallest particle present in the model and material properties (stiffness). In the case of small particles, the computational time step will be short, whilst in the case of large particles; the computation time step will be larger. Hence, from the point of view of time required for modelling (which usually corresponds to time required for 3-4 mill revolutions), it will be advantageous that the smallest particles in the model are not unnecessarily too small. The objective of this work is to compare the net power draw of the mill whose charge is characterised by different size distributions, while preserving the constant mass of the charge and mill speed. (C) 2004 Elsevier Ltd. All rights reserved.
Keyword Engineering, Chemical
Mineralogy
Mining & Mineral Processing
Sag Milling
Discreet Element Modelling
Ball Mills
Q-Index Code C1
Q-Index Status Provisional Code
Institutional Status UQ

 
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