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    <identifier>10.57760/sciencedb.Partic.00088</identifier>
    <datestamp>2024-10-21T10:02:22Z</datestamp>
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  <dc:date>2024-10-21</dc:date>
  <dc:title>GPU accelerated MFiX-DEM simulations of granular and multiphase flows</dc:title>
  <dc:identifier>doi:10.57760/sciencedb.partic.00088</dc:identifier>
  <dc:language>en</dc:language>
  <dc:description>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. The Fortran-based CFD solver was coupled with CUDA/C++ based DEM solver through inter-process pipes. The speedup to CPU is about 130 to 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.</dc:description>
  <dc:subject>GPU; MFIX; DEM; Drag; Fluidization</dc:subject>
  <dc:creator>Liqiang Lu</dc:creator>
  <dc:rights>PUBLIC</dc:rights>
  <dc:rights>https://creativecommons.org/licenses/by/4.0/</dc:rights>
  <dc:type>dataset</dc:type>
  <dc:relation>http://www.doi.org/https://doi.org/10.1016/j.partic.2021.08.001</dc:relation>
  <dc:publisher>Science Data Bank</dc:publisher>
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