(691b) Numerical Simulations of Fluidized Beds in Fine-Grid Geometries Using Source Smoothing with Cell Clustering Method for DEM-CFD Coupling
AIChE Annual Meeting
2016
2016 AIChE Annual Meeting
Particle Technology Forum
Industrial Application of Computational and Numerical Approaches to Particle Flow I
Thursday, November 17, 2016 - 12:49pm to 1:08pm
In this work we introduce the source smoothing approach for 2-way DEM-CFD coupling which allows to run efficient, accurate and stable 2-way coupled simulation without requirement of cell size being larger than particle size. Within this approach the second coarser grid is generated from original fine grid by clustering neighboring cells. The fluid solution is solved on the original fine grid. The particle volume fraction is calculated on the coarser grid of clustered cells and mapped onto the fine grid to be used by fluid solver. Compared to the two-grid formulation for fluid-particle systems proposed by Deb and Tafti [3] our approach has an advantage of being applicable for complex geometries that resolve fine details. This is because of adopting the novel algorithm for clustering cells which minimizes the difference in volume and shape between cells of resulting coarse grid. In addition, our approach is implemented within commercial software STAR-CCM+ version 11.06 by CD-adapco and allows running DEM coupled CFD models in parallel on many cores, as well as running coarse grain particle model [1] at the same time.
In this work we first validate the source smoothing method for 2-way coupling by reproducing the fluidized bed results obtained in [1]. We then show that modifying geometry to include new small scale details (by including the tube bundle or other internals into the model) does not render the model unstable or inaccurate even though the coarse grain particles are larger than cells throughout the volume of geometry.
[1]Â O. Baran, A. Newale, D. Greening, DEM simulations of industrial size fluidized bed using coarse grain model with particle size distribution, AIChE 2014
[2]Â R. H. Aglave, O. Baran, M. Tandon, A. Karnik and . Lo, Numerical Simulation of Dense Gas-Solid Fluidized Beds: Comparison between Eulerian Multiphase and Discrete Element Methods, AIChE 2015
[3] S. Deb, D. Tafti, A novel two-grid formulation for fluidâ??particle systems using the discrete element method, Powder Technology 246 (2013) 601â??616