Estimating energy in grinding using DEM modelling

Weerasekara, N. S., Liu, L. X. and Powell, M. S. (2015) Estimating energy in grinding using DEM modelling. Minerals Engineering, 85 23-33. doi:10.1016/j.mineng.2015.10.013

Author Weerasekara, N. S.
Liu, L. X.
Powell, M. S.
Title Estimating energy in grinding using DEM modelling
Journal name Minerals Engineering   Check publisher's open access policy
ISSN 0892-6875
Publication date 2015-10-27
Sub-type Article (original research)
DOI 10.1016/j.mineng.2015.10.013
Open Access Status Not Open Access
Volume 85
Start page 23
End page 33
Total pages 11
Place of publication Kidlington, Oxford, United Kingdom
Publisher Pergamon Press
Collection year 2016
Language eng
Abstract The latest state of the art on Discrete Element Method (DEM) and the increased computational power are capable of incorporating and resolving complex physics in comminution devices such as tumbling mills. A full 3D simulation providing a comprehensive prediction of bulk particle dynamics in a grinding mill is now possible using the latest DEM software tools. This paper explores the breakage environment in mills using DEM techniques, and how these techniques may be expanded to provide more useful data for mill and comminution device modelling. A campaign of DEM simulations were performed by varying the mill size and charge particle size distribution to explore and understand the breakage environment in mills using DEM techniques. Analysis of each mill was conducted through consideration of the total energy dissipation and the nature of the collision environment that leads to comminution. The DEM simulations show that the mill charge particle size distribution has a strong influence on the mill input power and on the way the energy is distributed across the charge. The smaller particles experience higher energies while the larger experience less, but this variation is strongly dependent on the mill size. The results also showed that the average particle collision energy increases with increasing mill size, whereas its distribution over particle size is strongly influenced by the mill content particle size distribution. The simulations also captured the energy distribution within different regions of the tumbling charge, with the toe impact region having higher impact energies and the bulk shear region having higher tangential energies. Regardless of the mill size most of the energy is consumed by the particles in the mid-size range, which has the highest percentage mass of the total charge distribution.
Keyword DEM
Tumbling mills
Q-Index Code C1
Q-Index Status Confirmed Code
Institutional Status UQ

Document type: Journal Article
Sub-type: Article (original research)
Collections: Official 2016 Collection
Sustainable Minerals Institute Publications
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Citation counts: TR Web of Science Citation Count  Cited 1 times in Thomson Reuters Web of Science Article | Citations
Scopus Citation Count Cited 1 times in Scopus Article | Citations
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Created: Wed, 28 Oct 2015, 09:13:01 EST by Dr Nirmal Weerasekara on behalf of Julius Kruttschnitt Mineral Research Centre