Utilising computational fluid dynamics (CFD) for the modelling of granular material in large-scale engineering processes

被引:0
作者
Christakis, N
Chapelle, P
Patel, MK
Cross, M
Bridle, I
Abou-Chakra, H
Baxter, J
机构
[1] Univ Greenwich, Ctr Numer Modelling & Proc Anal, Old Royal Naval Coll, Greenwich SE10 9LS, England
[2] Univ Greenwich, Wolfson Ctr, London SE18 5PF, England
[3] Univ Surrey, Dept Chem & Proc Engn, Guildford 6GU2 5XH, Surrey, England
来源
COMPUTATIONAL SCIENCE-ICCS 2002, PT I, PROCEEDINGS | 2002年 / 2329卷
关键词
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
In this paper, the framework is described for the modelling of granular material by employing Computational Fluid Dynamics (CFD). This is achieved through the use and implementation in the continuum theory of constitutive relations, which are derived in a granular dynamics framework and parametrise particle interactions that occur at the micro-scale level. The simulation of a process often met in bulk solids handling industrial plants involving granular matter, (i.e. filling of a flat-bottomed bin with a binary material mixture through pneumatic conveying-emptying of the bin in core flow mode-pneumatic conveying of the material coming out of a the bin) is presented. The results of the presented simulation demonstrate the capability of the numerical model to represent successfully key granular processes (i.e. segregation/degradation), the prediction of which is of great importance in the process engineering industry.
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页码:743 / 752
页数:10
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