Transport of a dilute particle suspension through a sharp density interface

ORAL

Abstract

This study explores the dynamics of particle transport in density-stratified fluids, a phenomenon frequently observed in oceans. An immersed-boundary technique is employed for particle-resolved numerical simulations within a 3D Cartesian domain. The simulations are conductedin a quiescent, sharply-stratified fluid environment within a computational domain of size 12 Dp x 12 Dp ×36 Dp,where Dp=250 μm signifies the diameter of the spherical particles. These particles are modelled using a fictitious domain method, with a no-slip condition at their surfaces. The settling dynamics are governed by the Galilei, Froude, and Prandtl numbers. The stratification strength is characterized by Γ=(ρ2−ρ1)/(ρp−ρ1) where ρ1and ρ2 representing the undisturbed fluid densities above and below the stratification interface, respectively. Initially, the particles are evenly distributed and fully immersed in the top fluid, with some distance away from the domain boundaries and the density interface. Numerical results that the influence of Γ on the suspension's settling patterns through the density interfaceare reported. The effect of varying the Prandtl numbers on the settling for temperatureand salinity-stratified fluids, and the influence of the Galileinumberare also examined. Finally, this study also examines the impact of varying individual particle sizes within a particle suspension, and the height of the density transition layeron the collective transport of the suspension.

*This work is supported by the EPSRC MEMPHIS (EP/K003976/1) and PREMIERE (EP/T000414/1) Programme Grants.

Presenters

  • Abdullah M Abdal

    • Imperial College London

Authors

  • Abdullah M Abdal

    • Imperial College London
  • Lyes Kahouadji

    • Imperial College London
  • Seungwon Shin

    • Hongik University
  • Jalel Chergui

    • CNRS
  • Damir Juric

    • Université Paris Saclay, Centre National de la Recherche Scientifique (CNRS), Laboratoire Interdisciplinaire des Sciences du Numérique (LISN), 91400 Orsay, France
  • Colm-Cille P Caulfield

    • Department of Applied Mathematics and Theoretical Physics, University of Cambridge, Cambridge CB3 0WA, United Kingdom
  • Omar K. Matar

    • Imperial College London