Direct numerical simulations of bubble-particle interactions

ORAL

Abstract

The interaction between a freely rising deformable bubble and a settling particle in a Newtonian background fluid is studied. The density and viscosity ratios between the bubble and the background fluid are kept constant at 103 and 102, respectively. The study considers the effect of varying the bubble Bond number (Bo) and Galileo number (Ga) on the interaction. The simulations are implemented using three-dimensional particle-resolved DNS using Level Contour Reconstruction Method (LCRM); this is a hybrid level-set front-tracking method to accurately capture the motion and interaction of the bubble and particle. The transient numerical simulations show that the deformation of the bubble varies depending on whether the interaction is dominated by surface tension or gravitational forces. When the bubble approaches the particle, a thin film of liquid is trapped between the rising bubble and the settling particle and begins to drain. After drainage, the thin liquid film undergoes rupture forming a three-phase contact line. We present results of the spatio-temporal evolution of the bubble-particle interaction and the associated velocity, vorticity, and pressure fields of all three phases.

*This work is supported by the EPSRC MEMPHIS (EP/K003976/1) and PREMIERE (EP/T000414/1) Programme Grants. The author also acknowledges the Kuwait Foundation for the Advancement of Sciences (KFAS) for their support.

Presenters

  • Abdullah M Abdal

    • Imperial College London

Authors

  • Abdullah M Abdal

    • Imperial College London
  • Lyes Kahouadji

    • Imperial College London
  • Seungwon Shin

    • Department of Mechanical and System Design Engineering, Hongik University, Seoul 04066, Republic of Korea
    • Hongik University
  • Jalel Chergui

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

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