Euler–Lagrange simulations of near-surface gas transport in vibrated bubbly flows

ORAL

Abstract

The downward rectified motion of gas in vibrated liquids, caused by compressibility–vibration coupling between bubbles and the surrounding fluid, is a phenomenon observed in experiments. The coalescence of injected gas can lead to the formation of gas-rich regions, which significantly alter the hydrodynamic damping properties of fluid–structure systems. Downward motion occurs when the primary Bjerknes force exceeds the buoyancy force, a condition only met when a bubble descends past a critical "neutral depth." However, experimental observations of bubbles crossing this depth are limited, and the mechanisms enabling this transport remain poorly understood. To address this gap, we present a numerical study using diffuse-interface and Euler–Lagrange models that incorporate radial bubble dynamics and two-way coupling with the liquid phase. The numerical results are validated against analytical predictions for isolated bubbles and then used to quantify bubble trajectories and forces during downward transport. Our findings suggest that vibration-induced liquid surface waves generate bulk fluid motion that drives bubbles past the neutral depth, revealing a mechanism for gas migration in vibrated multiphase systems.

*SHB acknowledges support of DOE grant no. DE-NA0003525 subcontracted from Sandia National Labs. This work used the resources of the Oak Ridge Leadership Computing Facility at the Oak Ridge National Laboratory, which is supported by the Office of Science of the U.S. Department of Energy under Contract No. DE-AC05-00OR22725 (PI Bryngelson, allocation CFD154). This work also used Bridges2 at the Pittsburgh Supercomputing Center through allocation TG-PHY210084 (PI Spencer Bryngelson) from the Advanced Cyberinfrastructure Coordination Ecosystem: Services & Support (ACCESS) program, which is supported by National Science Foundation grants #2138259, #2138286, #2138307, #2137603, and #2138296. SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525.

Presenters

  • Benjamin Wilfong

    • Georgia Institute of Technology

Authors

  • Benjamin Wilfong

    • Georgia Institute of Technology
  • Tianyi Chu

    • Georgia Institute of Technology
  • Ryan M McMullen

    • Sandia National Laboratories
  • Timothy Koehler

    • Sandia National Laboratories
  • Spencer H. Bryngelson

    • Georgia Institute of Technology