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Article . 2020 . Peer-reviewed
License: Elsevier TDM
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Modelling mineral slurries using coupled discrete element method and smoothed particle hydrodynamics

Authors: Dongling Wu; Wei Chen; Damian Glowinski; Craig Wheeler;

Modelling mineral slurries using coupled discrete element method and smoothed particle hydrodynamics

Abstract

Abstract Slurry in wet grinding mills is critical for transporting fine progenies out of the system to downstream floatation process. It is commonly modelled as Newtonian fluids when simulating grinding mills with numerical tools. However, rheology of the slurry exhibits shear thinning non-Newtonian behaviours. This study aims to investigate the non-Newtonian characteristics of mineral slurries both experimentally and numerically. Non-Newtonian smoothed particle hydrodynamics (SPH) and its coupling to discrete element modelling (DEM) framework was initially described. Non-Newtonian rheology of a copper slurry with various solids concentrations was determined experimentally by a rotary viscometer. SPH-DEM modelling of the viscometry test was conducted with both Newtonian and Power-law non-Newtonian settings in fluid phase, and comparisons were performed. Results suggested that the non-Newtonian SPH based method better reflects actual rheological behaviours of the slurry. In addition, DEM parameters exhibited limited impacts on rheology of the solids-liquid mixture, particularly at low solids concertation and high shear rate states. The findings suggested that the non-Newtonian based SPH-DEM method should be used to more accurately model the slurry flows within grinding mills.

Country
Australia
Related Organizations
Keywords

SPH, non-Newtonian fluid, slurry, SPH-DEM coupling

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
11
Top 10%
Average
Top 10%
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