A drag model for filtered Euler-Lagrange simulations of clustered gas-particle suspensions

Stefan Radl, Sankaran Sundaresan

Research output: Contribution to journalArticle

88 Scopus citations

Abstract

Fluidized gas-particle systems are inherently unstable and they manifest structures on a wide range of length and time scales. In this article we present for the first time in the literature a coarse-grained drag force model for Euler-Lagrange (EL) based simulations of fluidized gas-particle suspensions. Two types of coarse graining enter into consideration: coarse fluid grids as well as particle coarsening in the form of parcel-based simulations where only a subset of particles is simulated. We use data from well-resolved EL simulations to assemble a model for the filtered drag force that examines fluid and particle coarsening separately. We demonstrate that inclusion of correction to gas-particle drag to account for fluid coarsening leads to superior predictions in a test problem. We then present an ad hoc modification to account for particle coarsening, which improves accuracy of simulations involving both fluid and particle coarsening. We also identify an approximate characteristic length scale that can be used to collapse the results for different gas-particle systems.

Original languageEnglish (US)
Pages (from-to)416-425
Number of pages10
JournalChemical Engineering Science
Volume117
DOIs
StatePublished - Sep 27 2014

All Science Journal Classification (ASJC) codes

  • Chemistry(all)
  • Chemical Engineering(all)
  • Industrial and Manufacturing Engineering

Keywords

  • Fluid mechanics
  • Fluidization
  • Multiphase flow
  • Numerical simulation

Fingerprint Dive into the research topics of 'A drag model for filtered Euler-Lagrange simulations of clustered gas-particle suspensions'. Together they form a unique fingerprint.

  • Cite this