Journal
POWDER TECHNOLOGY
Volume 373, Issue -, Pages 647-659Publisher
ELSEVIER
DOI: 10.1016/j.powtec.2020.06.080
Keywords
CFD-DEM; DNS; Turbulent; Suspension coarse-particle
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Funding
- Monash International Postgraduate Research Scholarship, Monash University, Australia
- Monash Graduate Scholarship, Monash University, Australia
- CSIRO Minerals
- Australian Government [D77]
- ARC Research Hub for Computational Particle Technology [IH1401001035]
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Solid-liquid suspension flows are widely encountered in industrial applications. In many of these flows, the carrier fluid exhibits shear-thinning behaviour and the solids have a broad size distribution. Shear-thinning suspensions can occur in laminar or weakly turbulent regimes due to their high viscosity. This paper presents a DNS-DEM model for weakly turbulent coarse-particle suspension flows. Although our interest is in shear-thinning suspensions, we aim firstly to develop a liquid-solid model in a Newtonian fluid to remove the uncertainty in particle-fluid interaction in non-Newtonian suspensions. Matching experiments were conducted for validation. The predicted mixture velocity and concentration profiles are in good agreement with experiments, and discrepancies are mostly less than 10%. The mean velocity profiles are significantly damped by coarse particles and particle phase generally exhibits a higher fluctuation. This DNS-DEM modelling approach is viable for simulating these flows and will form the basis of future work on shear-thinning suspension flow. (C) 2020 Elsevier B.V. All rights reserved.
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