Effective drag law for parcel-based approaches - What can we learn from CFD-DEM?

Stefan Radl, Matthew Girardi, Sankaran Sundaresan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

4 Scopus citations

Abstract

Computational fluid dynamics (CFD) simulations of dense gas-particle flows are extremely challenging due to the formation of clusters. These structures reduce the effective drag on the suspended particles and hence are key for the prediction of the flow in and the performance of fluidized beds. Our group has established models for the effective drag and particle-phase stress via Euler-Euler (EE) simulations [1]. However, EE simulations become cumbersome when treating polydisperse particle systems. Here, we focus on an Euler- Lagrange (EL) approach, with the goal to establish a sophisticated filtered drag model for coarse-grid (i.e., incompletely resolved) EL-based simulations. First, we detail the effect of the grid resolution and the particle-scale (i.e., "microscopic") drag law on our results. Based on our computational data from fully resolved EL-based simulations, we construct a filtered drag model for a later use in coarser EL-based simulations. Our results highlight the significant effect of particle clustering on the average slip velocity between particles and fluid, and indicate how this clustering can be accounted for in incompletely resolved EL-based simulations.

Original languageEnglish (US)
Title of host publicationECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers
Pages1225-1239
Number of pages15
StatePublished - Dec 1 2012
Event6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012 - Vienna, Austria
Duration: Sep 10 2012Sep 14 2012

Publication series

NameECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers

Other

Other6th European Congress on Computational Methods in Applied Sciences and Engineering, ECCOMAS 2012
CountryAustria
CityVienna
Period9/10/129/14/12

All Science Journal Classification (ASJC) codes

  • Computational Theory and Mathematics
  • Applied Mathematics

Keywords

  • Discrete element method
  • Filtering
  • Fluidized beds

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    Radl, S., Girardi, M., & Sundaresan, S. (2012). Effective drag law for parcel-based approaches - What can we learn from CFD-DEM? In ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers (pp. 1225-1239). (ECCOMAS 2012 - European Congress on Computational Methods in Applied Sciences and Engineering, e-Book Full Papers).