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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Published in | International journal for numerical methods in fluids Vol. 58; no. 3; pp. 319 - 353 |
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Main Authors | , , |
Format | Journal Article |
Language | English |
Published |
Chichester, UK
John Wiley & Sons, Ltd
30.09.2008
Wiley |
Subjects | |
Online Access | Get full text |
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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. |
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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 |