GPU accelerated MFiX-DEM simulations of granular and multiphase flows (Open Access)--颗粒学报PARTICUOLOGY

Lu, L. (2022). GPU accelerated MFiX-DEM simulations of granular and multiphase flows. Particuology, 62, 14-24. https://doi.org/10.1016/j.partic.2021.08.001

GPU accelerated MFiX-DEM simulations of granular and multiphase flows (Open Access)

Liqiang Lu ^{a b *}

a National Energy Technology Laboratory, Morgantown, WV 26507, United States
b Leidos Research Support Team, Morgantown, WV 26506, United States

10.1016/j.partic.2021.08.001

Volume 62, March 2022, Pages 14-24

Received 24 July 2021, Accepted 13 August 2021, Available online 21 August 2021, Version of Record 11 September 2021.

E-mail: Liqiang.Lu@netl.doe.gov

Highlights

• Open-source software MFiX-DEM is accelerated with GPU computation.

• Speedup is 170 folds in double-precision simulation and 243 folds in single-precision simulation.

• GPU accelerated DEM part accounts for 17% of total computation time in CFD-DEM simulation.

• Influence of fluid and particle coarse-graining was investigated.

Abstract

In this research, a Graphical Processing Unit (GPU) accelerated Discrete Element Method (DEM) code was developed and coupled with the Computational Fluid Dynamic (CFD) software MFiX to simulate granular and multiphase flows with heat transfers and chemical reactions. The Fortran-based CFD solver was coupled with the CUDA/C++ based DEM solver through inter-process pipes. The speedup to the CPU version of MFiX-DEM is about 130–243 folds in the simulation of particle packings. In fluidized bed simulations, the DEM computation time is reduced from 91% to 17% with a speedup of 78 folds. The simulation of Geldart A particle fluidization revealed a similar level of importance of both fluid and particle coarse-graining. The filtered drag derived from the two-fluid model is suitable for Euler-Lagrangian simulations with both fluid and particle coarse-graining. It overcorrects the influence of sub-grid structures if used for simulations with only fluid coarse-graining.

Graphical abstract

Keywords

GPU; MFIX; DEM; Drag; Fluidization

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