An empirical power model derived from 3D particle tracking experiments

Govender, I. and Powell, M. S. (2006). An empirical power model derived from 3D particle tracking experiments. In: J.J. Cilliers, Selected papers from Computational Modelling ’05, Cape Town, South Africa: DEM Solutions: Discrete Element Modeling. Computational Modelling ’05, Cape Town, South Africa, (1005-1012). 7-9 November 2005.


Author Govender, I.
Powell, M. S.
Title of paper An empirical power model derived from 3D particle tracking experiments
Conference Paper Type Fully Published Paper
Conference name Computational Modelling ’05
DOI 10.1016/j.mineng.2006.03.017
Conference location Cape Town, South Africa
Conference dates 7-9 November 2005
Proceedings title Selected papers from Computational Modelling ’05, Cape Town, South Africa: DEM Solutions: Discrete Element Modeling  (ERA 2012 Listed)    (ERA 2010 Rank A*)   Check publisher's open access policy
Journal name Minerals Engineering  (ERA 2012 Listed)    (ERA 2010 Rank A*)   Check publisher's open access policy
Editor J.J. Cilliers
Place published Kidlington, Oxford, U.K.
Publisher Pergamon Press
Publication date 2006
Volume number 19
Issue number 10
ISSN 0892-6875; 1872-9444
Start page 1005
End page 1012
Total pages 8
Language eng
Abstract/Summary The kinematic data resulting from 3D particle tracking experiments of a typical bulk charge particle is used to derive an empirical power model that forms the basis for comparison between the DEM and experiment. The model is derived from the center of circulation coordinates and given as a function of mill speed. The wide range of milling configurations coupled with experimental trajectory data accurate to within 0.15 mm in spatial resolution ensure that the comparisons are robust. The power prediction from both the DEM and experiment is done for a 142 mm diameter mill of the same length and charged with 4596 particles with a mean diameter of 6.1 mm.
Subjects 091404 Mineral Processing/Beneficiation
Keyword Comminution
Power
X-ray
Particle tracking
DEM
Q-Index Code E1
Q-Index Status Provisional Code
Institutional Status Non-UQ

 
Versions
Version Filter Type
Citation counts: TR Web of Science Citation Count  Cited 0 times in Thomson Reuters Web of Science Article
Scopus Citation Count Cited 1 times in Scopus Article | Citations
Google Scholar Search Google Scholar
Access Statistics: 137 Abstract Views  -  Detailed Statistics
Created: Wed, 28 Jan 2009, 09:28:01 EST by Maryanne Watson on behalf of Marketing, Outreach and Corporate Services