A reduced model for droplet dynamics with interfacial viscosity
Fabio Guglietta, Diego Taglienti, Mauro Sbragaglia
TL;DR
The paper addresses how interfacial viscosity alters droplet deformation in shear flows and asks whether a reduced tensorial model can capture the dynamics. It extends the Maffettone–Minale framework to include interfacial shear and dilatational viscosities via $Bq_{\mathrm{s}}$ and $Bq_{\mathrm{d}}$, deriving $f_1^{(\mathrm{EMM})}$ and $f_2^{(\mathrm{EMM})}$ that govern the stationary deformation $D_{\mathrm{s}}$ and validating the model against fully resolved simulations across $Ca$, $Bq_{\mathrm{s}}$, and $Bq_{\mathrm{d}}$. Key contributions include explicit expressions for the EMM coefficients, quantitative maps of the model’s validity, and insights into how interfacial viscosity slows transient deformation and shifts breakup thresholds. The work provides a fast, accurate tool for predicting droplet behavior with viscous interfaces in engineering contexts and outlines avenues for extending the framework to larger deformations and surfactant-laden interfaces.
Abstract
We propose an extension of the phenomenological Maffettone-Minale (MM) model (P.L. Maffettone and M. Minale, J. Non-Newton. Fluid Mech. 78, 227-241 (1998)) to describe the time-dependent deformation of a droplet with interfacial viscosity in a shear flow. The droplet, characterised by surface tension $σ$, is spherical at rest with radius $R$ and deforms into an ellipsoidal shape under a shear flow of rate $G$, described by a symmetric second-order morphological tensor $\boldsymbol{S}$. In addition to surface tension, the extended MM (EMM) model incorporates interfacial shear and dilatational viscosities, $μ_s$ and $μ_d$, through the corresponding Boussinesq numbers $\mbox{Bq}_s=μ_s/μR$ and $\mbox{Bq}_d=μ_d/μR$, where $μ$ is the bulk viscosity. A central goal of this work is to quantify the parameter range over which the EMM model provides a realistic description of droplet deformation, as a function of the capillary number Ca$=μR G/σ$ and the Boussinesq numbers. To this end, model predictions are systematically compared with fully resolved numerical simulations.
