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Computational modelling of particle degradation in dilute phase pneumatic conveyors

Computational modelling of particle degradation in dilute phase pneumatic conveyors

Chapelle, P., Christakis, N., Abou-Chakra, H., Tuzun, U., Bridle, I., Bradley, M.S.A., Patel, M.K. and Cross, M. (2003) Computational modelling of particle degradation in dilute phase pneumatic conveyors. In: Kumar, Vipin, Gavrilova, Marina L., Tan, Chih Jeng Kenneth and L’Ecuyer, Pierre, (eds.) Computational Science and Its Applications - ICCSA 2003. International Conference Montreal, Canada, May 18–21, 2003 Proceedings. Lecture Notes in Computer Science, Part I (2667). Springer, Berlin Heidelberg, pp. 493-502. ISBN 9783540401551 (doi:10.1007/3-540-44839-X_53)

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Abstract

The aim of this paper is to develop a mathematical model with the ability to predict particle degradation during dilute phase pneumatic conveying. A numerical procedure, based on a matrix representation of degradation processes, is presented to determine the particle impact degradation propensity from a small number of particle single impact tests carried out in a new designed laboratory scale degradation tester. A complete model of particle degradation during dilute phase pneumatic conveying is then described, where the calculation of degradation propensity is coupled with a flow model of the solids and gas phases in the pipeline. Numerical results are presented for degradation of granulated sugar in an industrial scale pneumatic conveyor.

Item Type: Book Section
Additional Information: [1] This book chapter was first presented as a paper at the Computational Science and Its Applications International Conference (ICCSA 2003) held from 18-21 May 2003 in Montreal, Canada. [2] ISBN: 9783540401551 (print); 9783540448396 (online). [3] Series ISSN: 0302-9743.
Uncontrolled Keywords: computational modelling, particle degradation, dilute phase, pneumatic conveyors
Subjects: Q Science > QA Mathematics > QA75 Electronic computers. Computer science
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
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Last Modified: 14 Oct 2016 09:01
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/649

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