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Review of models for predicting the discharge rates of bulk particulates from silos and bins

Review of models for predicting the discharge rates of bulk particulates from silos and bins

Ariza-Zafra, K., Berry, Robert and Bradley, Michael S. A. (2008) Review of models for predicting the discharge rates of bulk particulates from silos and bins. Proceedings of the International Symposium Reliable Flow of Particulate Solids IV (RELPOWFLO IV) (Tromso, Norway 10-12 June, 2008). Telemark University College, Telemark, pp. 484-492. ISBN 9788272062896

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Abstract

Various models for predicting discharge rates have been developed over the last four decades by many research workers (notably Beverloo [1], Johanson [2], Brown [3], Carleton [4], Crewdson [5], Nedderman [6], Gu [7].). In many cases these models offer comparable approaches to the prediction of discharge rates of bulk particulates from storage equipment when solely gravity is acting to initiate flow (since they invariably consider the use of mass-flow design equipment). The models that have been developed consider a wide range of bulk particulates (coarse, incompressible, fine, cohesive) and most contemporary works have incorporated validation against test programmes. Research currently underway at The Wolfson Centre for Bulk Solids Handling Technology, University of Greenwich, has considered the relative performance of these models with respect to a range of bulk properties and with particular focus upon the flexibility of the models to cater for different geometrical factors for vessels.

Item Type: Book Section
Additional Information: This paper was given at the International Symposium Reliable Flow of Particulate Solids IV (RELPOWFLO IV) 10th – 12th June 2008 held in Tromsø, Norway
Uncontrolled Keywords: bulk particulates, discharge rates,
Subjects: T Technology > T Technology (General)
T Technology > TS Manufactures
Faculty / Department / Research Group: Faculty of Engineering & Science > Wolfson Centre for Bulk Solids Handling Technology
Related URLs:
Last Modified: 17 Oct 2016 10:03
Selected for GREAT 2016: None
Selected for GREAT 2017: None
Selected for GREAT 2018: None
URI: http://gala.gre.ac.uk/id/eprint/2622

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