Lagrangian statistics of dense emulsions
Ivan Girotto, Andrea Scagliarini, Roberto Benzi, Federico Toschi

TL;DR
This paper uses 3D numerical simulations to analyze droplet microdynamics and macroscopic flow interactions in dense stabilized emulsions, revealing non-Gaussian statistics and superdiffusive behaviors linked to jamming and cooperative effects.
Contribution
It provides the first measurements of droplet separation and acceleration PDFs in concentrated emulsions, connecting microdynamics with rheological properties.
Findings
Droplet acceleration PDF becomes strongly non-Gaussian above jamming.
Superdiffusive behavior observed in droplet displacement and pair separation.
Non-Gaussian pair separation PDF analyzed with theoretical models.
Abstract
The dynamics of dense stabilized emulsions presents a rich phenomenology including chaotic emulsification, non-Newtonian rheology and ageing dynamics at rest. Macroscopic rheology results from the complex droplet microdynamics and, in turn, droplet dynamics is influenced by macroscopic flows via the competing action of hydrodynamic and interfacial stresses, giving rise to a complex tangle of elastoplastic effects, diffusion, breakups and coalescence events. This tight multiscale coupling, together with the daunting challenge of experimentally investigating droplets under flow, hindered the understanding of dense emulsions dynamics. We present results from 3D numerical simulations of dense stabilised emulsions, resolving the shape and dynamics of individual droplets, along with the macroscopic flows. We investigate droplet dispersion statistics, measuring probability density functions…
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Taxonomy
TopicsPickering emulsions and particle stabilization · Proteins in Food Systems · Fluid Dynamics and Heat Transfer
