Multiscale modelling of heat transfer from arrays of spherical particles

Arpit Singhal, Schalk Cloete, Stefan Radl, Shahriar Amini

Research output: Contribution to conferencePaperpeer-review


This work presents a modelling study of gas-particle heat transfer on two distinct scales. Firstly direct numerical simulations (DNS) are conducted in a geometry of spherical particles generated via the discrete element method (DEM). Simulations are completed on random particle arrays ranging from a void fraction of 0.9 to maximum packing over a range of Reynolds numbers. The geometry is meshed with a fine Cartesian cut-cell mesh both inside and outside the particles. These DNS results are then used to provide improved heat transfer closures to an unresolved Lagrangian modelling approach which can be used to simulate much larger particle beds. This model is derived for two different averaging approaches and then verified against DNS data. Minor differences in results are discussed and heat transfer models derived from DNS with a constant heat source inside the particles are compared to models derived from simulations with a constant particle surface temperature.
Original languageEnglish
Publication statusPublished - 27 May 2016
Event9th International Conference on Multiphase Flow: ICMF 2016 - Florence, Italy
Duration: 22 May 201627 May 2016


Conference9th International Conference on Multiphase Flow


  • packed bed
  • Heat transfer
  • fluid mechanics

ASJC Scopus subject areas

  • Fluid Flow and Transfer Processes

Fields of Expertise

  • Information, Communication & Computing

Treatment code (Nähere Zuordnung)

  • Basic - Fundamental (Grundlagenforschung)


Dive into the research topics of 'Multiscale modelling of heat transfer from arrays of spherical particles'. Together they form a unique fingerprint.

Cite this