AFiD-MF: an efficient solver for three-dimensional multiphase flows

ORAL

Abstract

We propose an extension of our code AFiD (www.afid.eu) to simulate efficiently three-dimensional multiphase flows. In this approach, we implement the phase field model into AFiD in order to retain the massive solver for the incompressible Navier-Stokes equations. The performance of AFiD has been confirmed in many previous studies. To simulate the dynamics of multiphase flows, we rely on the phase field model to capture the fluid-fluid interface and deal with large density/viscosity ratios of the phases. The coupling of the phase field model with the AFiD solver is obtained by the volume fraction distribution of each phase and the surface tension force on the fluid-fluid interface. Our new approach, AFiD-MF, is validated by comparisons with data in the literature and verified through several numerical experiments, such as an oscillating droplet, the deformation of a drop in shear flow, the breakup of a rising bubble and the Rayleigh-Bénard flow with two immiscible phases.

Authors

  • Haoran Liu

    • Univ of Twente
  • Qi Wang

    • Univ of Twente
  • Kai Leong Chong

    • Univ of Twente
    • University of Twente
  • Roberto Verzicco

    • Physics of Fluids Group and Max Planck Center Twente, MESA+ Institute and J. M. Burgers Centre for Fluid Dynamics, University of Twente, P.O. Box 217,
    • Univ of Rome
    • Uniroma2, UTwente, GSSI
    • University of Rome ‘Tor Vergata’
    • University of Roma
    • Univ of Rome Tor Vergata, Univ of Twente
    • uniroma2
  • Detlef Lohse

    • Physics of Fluids Group and Max Planck Center Twente, MESA+ Institute and J. M. Burgers Centre for Fluid Dynamics, University of Twente, P.O. Box 217,
    • Physics of Fluids group, University of Twente
    • Physics of Fluids Group, University of Twente
    • Univ of Twente
    • PoF - University of Twente, The Netherlands
    • Twente University
    • Physics of Fluids Group, University of Twente; Max Planck Institute for Dynamics and Self-Organization
    • University of Twente