Emulsion droplet interactions: a front-tracking treatment
ORAL
Abstract
Emulsion coalescence influences a multitude of industrial applications including solvent extraction, oil recovery and the manufacture of fast-moving consumer goods. Droplet interaction models are vital for the design and scale-up of processing systems, however predictive modelling at the droplet-scale remains a research challenge. This study simulates industrially relevant moderate-inertia collisions for which a high degree of droplet deformation occurs. A hybrid front-tracking/level-set approach is used to automatically account for interface merging without the need for `bookkeeping' of interface connectivity. The model is implemented in Code BLUE using a parallel multi-grid solver, allowing both film and droplet-scale dynamics to be resolved efficiently. Droplet interaction simulations are validated using experimental sequences from the literature in the presence and absence of background turbulence. The framework is readily extensible for modelling the influence of surfactants and non-Newtonian fluids on droplet interaction processes.
–
Authors
-
Lachlan Mason
Imperial College London
-
Damir Juric
LIMSI, CNRS
-
Jalel Chergui
LIMSI, CNRS
-
Seungwon Shin
Hongik University, Korea, Hongik University
-
Richard V. Craster
Imperial College London
-
Omar K. Matar
Imperial College London