DEM prediction of particle flows in grinding processes

Particle size reduction is a critical unit process in many industries including mineral processing, cement, food processing, pigments and industrial minerals and pharmaceuticals. The aim is to take large feed material and as efficiently as possible reduce the size of the particles to a target size r...

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Bibliographic Details
Published inInternational journal for numerical methods in fluids Vol. 58; no. 3; pp. 319 - 353
Main Authors Cleary, P. W., Sinnott, M. D., Morrison, R. D.
Format Journal Article
LanguageEnglish
Published Chichester, UK John Wiley & Sons, Ltd 30.09.2008
Wiley
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Summary:Particle size reduction is a critical unit process in many industries including mineral processing, cement, food processing, pigments and industrial minerals and pharmaceuticals. The aim is to take large feed material and as efficiently as possible reduce the size of the particles to a target size range. Over time, a very large range of equipment has been developed to perform this for many materials and in many different conditions. Discrete element method (DEM) modelling is a computational tool that can allow detailed exploration of the particle flow and breakage processes within comminution equipment and can assist in developing a clearer and more comprehensive understanding of the detailed processes occurring within. In this paper, we examine the particle and energy flows in representative examples of the equipment used in many grinding processes. We study a 36′ semi‐autogenous mill used in primary grinding for mineral processing, a ball mill used for cement clinker grinding, a grinding table also used for cement grinding, a tower mill used for fine grinding both in mineral processing and for industrial minerals and finally for an Isamill, which is used for ultra‐fine grinding in mineral processing. Copyright © 2008 John Wiley & Sons, Ltd.
Bibliography:ark:/67375/WNG-TRVPKP5G-R
istex:218862E4A4842BEEBF1E2FCAD1FFFE8FA5182792
ArticleID:FLD1728
ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0271-2091
1097-0363
DOI:10.1002/fld.1728