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Particle-resolved numerical simulations of the gas–solid heat transfer in arrays of random motionless particles

  • Elhadji I. Thiam
  • Enrica MasiEmail author
  • Eric Climent
  • Olivier Simonin
  • Stéphane Vincent
Original Paper
  • 18 Downloads

Abstract

Particle-resolved direct numerical simulations of non-isothermal gas–solid flows have been performed and analyzed from microscopic to macroscopic scales. The numerical configuration consists in an assembly of random motionless spherical particles exchanging heat with the surrounding moving fluid throughout the solid surface. Numerical simulations have been carried out using a Lagrangian VOF approach based on fictitious domain framework and penalty methods. The entire numerical approach (numerical solution and post-processing) has first been validated on a single particle through academic test cases of heat transfer by pure diffusion and by forced convection for which analytical solution or empirical correlations are available from the literature. Then, it has been used for simulating gas–solid heat exchanges in dense regimes, fully resolving fluid velocity and temperature evolving within random arrays of fixed particles. Three Reynolds numbers and four solid volume fractions, for unity Prandtl number, have been investigated. Two Nusselt numbers based, respectively, on the fluid temperature and on the bulk (cup-mixing) temperature have been computed and analyzed. Numerical results revealed differences between the two Nusselt numbers for a selected operating point. This outcome shows the inadequacy of the Nusselt number based on the bulk temperature to accurately reproduce the heat transfer rate when an Eulerian–Eulerian approach is used. Finally, a connection between the ratio of the two Nusselt numbers and the fluctuating fluid velocity–temperature correlation in the mean flow direction is pointed out. Based on such a Nusselt number ratio, a model is proposed for it.

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Notes

Acknowledgements

This work was granted access to the HPC resources of CALMIP supercomputing center under the allocation P1529 and of CINES supercomputing center under the allocation A0022B10120. CALMIP and CINES are gratefully acknowledged. The authors wish to thank Ing. Pierre Elyakime for his support with the numerical code.

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Copyright information

© Springer-Verlag GmbH Austria, part of Springer Nature 2019

Authors and Affiliations

  • Elhadji I. Thiam
    • 1
  • Enrica Masi
    • 1
    Email author
  • Eric Climent
    • 1
  • Olivier Simonin
    • 1
  • Stéphane Vincent
    • 2
  1. 1.Institut de Mécanique des Fluides de Toulouse (IMFT)Université de Toulouse, CNRSToulouseFrance
  2. 2.Université Paris-Est Marne la Vallée, Laboratoire de Modélisation et Simulation Multi Echelle (MSME)Champs-Sur-MarneFrance

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