Journal
CHEMICAL ENGINEERING SCIENCE
Volume 223, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2020.115712
Keywords
CFD; DEM; CFD-DEM coupling; GPU; Particle-fluid flow; ANSYS Fluent
Categories
Funding
- European Commission [SPIRE-08-2015680565]
- EPSRC-UK MAPP Future Manufacturing Hub [EP/P006566/1]
- EPSRC [EP/P006566/1] Funding Source: UKRI
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High computational cost presents a significant barrier to the general application of coupled computational fluid dynamics and discrete element method (CFD-DEM) simulations, especially so for industrial systems with a large number of particles and complex geometries. In this study, a new cross-platform coupling approach is developed by integrating a CFD solver with a standalone GPU-based DEM solver via network communication. Consequently, the two modelling techniques benefit from the most appropriate hardware architecture. The developed coupling approach shows predictions comparable to experiments on a small-scale fluidized bed. Its computational performance is evaluated on a larger fluidized bed and shows superior performance over the CPU-based parallelization methods, making DEM calculation no longer the computational bottleneck. Its general applicability to handle complex geometrical domains is further demonstrated by simulations of a gas-solid cyclone separator. This work demonstrates the benefits of a novel coupling approach which enables efficient and robust solutions for industrial applications. (C) 2020 Elsevier Ltd. All rights reserved.
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