Christakis, Nicholas, Chapelle, Pierre, Patel, Mayur, Cross, Mark, Bridle, Ian, Abou-Chakra, Hadi and Baxter, John (2002) Utilising computational fluid dynamics (CFD) for the modelling of granular material in large-scale engineering processes. In: Computational Science - ICCS 2002: International Conference Amsterdam, The Netherlands, April 21–24, 2002 Proceedings. Lecture Notes in Computer Science, Part 1 (2329). Springer Berlin Heidelberg, Berlin, Heidelberg, Germany, pp. 743-752. ISBN 9783540435914 ISSN 0302-9743 (Print), 1611-3349 (Online) (doi:10.1007/3-540-46043-8_75)

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Abstract

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.

Item Type:	Conference Proceedings
Title of Proceedings:	Computational Science - ICCS 2002: International Conference Amsterdam, The Netherlands, April 21–24, 2002 Proceedings
Additional Information:	[1] This paper was first presented at the International Conference on Computational Science - ICCS 2002 held from 21-24 April 2002 in Amsterdam, The Netherlands. [2] ISBNs: 9783540435914 (Print); 9783540460435 (Online).
Uncontrolled Keywords:	granular material, Computational Fluid Dynamics, (CFD), simulation, process engineering industry, modelling, large-scale engineering processes
Subjects:	Q Science > QA Mathematics > QA76 Computer software T Technology > TP Chemical technology
Pre-2014 Departments:	School of Computing & Mathematical Sciences School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Mechanics & Reliability Group School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Computational Science & Engineering Group School of Computing & Mathematical Sciences > Centre for Numerical Modelling & Process Analysis > Fire Safety Engineering Group School of Computing & Mathematical Sciences > Department of Mathematical Sciences
Related URLs:	Publisher Publisher Author
Last Modified:	14 Oct 2016 09:00
URI:	http://gala.gre.ac.uk/id/eprint/539

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