A reduced model for droplet dynamics in shear flows at finite capillary numbers
Diego Taglienti, Fabio Guglietta, Mauro Sbragaglia

TL;DR
This paper extends the Maffettone-Minale model to predict droplet dynamics in shear flows at finite capillary numbers by calibrating parameters through numerical simulations, improving accuracy beyond small deformation assumptions.
Contribution
The paper introduces an extended MM model that determines parameters at finite capillary numbers without perturbation theory, using IB-LB simulations for better realism.
Findings
Model accurately predicts droplet deformation at finite Ca
Addresses droplet breakup within the new model
Provides a more realistic droplet dynamics framework
Abstract
We propose an extension of the Maffettone-Minale (MM) model to predict the dynamics of an ellipsoidal droplet in a shear flow. The parameters of the MM model are traditionally retrieved in the framework of the perturbation theory for small deformations, i.e., small capillary numbers () applied to Stokes equations. In this work, we take a novel route, in that we determine the model parameters at finite capillary numbers () without relying on perturbation theory results, while retaining a realistic representation in creeping time and steady deformation attained by the droplet for different realizations of the viscosity ratio between the inner and the outer fluids. This extended MM (EMM) model hinges on an independent characterization of the process of droplet deformation via numerical simulations of Stokes equations employing the…
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Taxonomy
TopicsLattice Boltzmann Simulation Studies · Aerosol Filtration and Electrostatic Precipitation · Microfluidic and Bio-sensing Technologies
