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A computational study of segregation in granular material during heaping

A computational study of segregation in granular material during heaping

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Christakis, N., Chapelle, P. and Patel, M.K. (2006) A computational study of segregation in granular material during heaping. In: 2006 Spring Meeting & 2nd Global Congress on Process Safety. American Institute of Chemical Engineers, New York, USA. ISBN 9780816910755

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Abstract

A continuum model of the flow of granular material during silo filling using a viscoplastic constitutive relation is presented in this paper. The constitutive model is based on the Drucker-Prager plasticity yield function. The simulation results give a realistic representation of complex features of granular flows during filling processes, such as heap formation and non-zero inclination angle of the material-air interface. The model is also coupled within the same framework with novel micro-mechanical parametrisations and the process of segregation during filling of granular mixtures can also be modelled.

Item Type: Conference Proceedings
Title of Proceedings: 2006 Spring Meeting & 2nd Global Congress on Process Safety
Additional Information: [1] This paper was first presented at the Fifth World Congress on Particle Technology 2006 (WCPT5) held from 23-27 April in Orlando, Florida, USA. It was given on 24 April 2006 within the Process Modeling of Bulk Solid Systems in Industrial Applications session. [2] The Proceedings of the Fifth World Congress on Particle Technology 2006 (WCPT5) were published within the 2006 AIChE Spring Meeting Conference Proceedings on CD-ROM, ISBN 0-8169-1005-7. [2] Conference Paper No: 14f
Uncontrolled Keywords: computational study, segregation, granular flows, heaping
Subjects: Q Science > QA Mathematics > QA76 Computer software
T Technology > TN Mining engineering. Metallurgy
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:
Last Modified: 14 Oct 2016 09:02
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/1024

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