Abstract

We perform direct numerical simulations (DNS) of emulsions in homogeneous isotropic turbulence using a pseudopotential lattice-Boltzmann (PP-LB) method. Improving on previous literature by minimizing droplet dissolution and spurious currents, we show that the PP-LB technique is capable of long stable simulations in certain parameter regions. Varying the dispersed-phase volume fraction$\unicode[STIX]{x1D719}$, we demonstrate that droplet breakup extracts kinetic energy from the larger scales while injecting energy into the smaller scales, increasingly with higher$\unicode[STIX]{x1D719}$, with approximately the Hinze scale (Hinze,AIChE J., vol. 1 (3), 1955, pp. 289–295) separating the two effects. A generalization of the Hinze scale is proposed, which applies both to dense and dilute suspensions, including cases where there is a deviation from the$k^{-5/3}$inertial range scaling and where coalescence becomes dominant. This is done using the Weber number spectrum$We(k)$, constructed from the multiphase kinetic energy spectrum$E(k)$, which indicates the critical droplet scale at which$We\approx 1$. This scale roughly separates coalescence and breakup dynamics as it closely corresponds to the transition of the droplet size ($d$) distribution into a$d^{-10/3}$scaling (Garrettet al.,J. Phys. Oceanogr., vol. 30 (9), 2000, pp. 2163–2171; Deane & Stokes,Nature, vol. 418 (6900), 2002, p. 839). We show the need to maintain a separation of the turbulence forcing scale and domain size to prevent the formation of large connected regions of the dispersed phase. For the first time, we show that turbulent emulsions evolve into a quasi-equilibrium cycle of alternating coalescence and breakup dominated processes. Studying the system in its state-space comprising kinetic energy$E_{k}$, enstrophy$\unicode[STIX]{x1D714}^{2}$and the droplet number density$N_{d}$, we find that their dynamics resemble limit cycles with a time delay. Extreme values in the evolution of$E_{k}$are manifested in the evolution of$\unicode[STIX]{x1D714}^{2}$and$N_{d}$with a delay of${\sim}0.3{\mathcal{T}}$and${\sim}0.9{\mathcal{T}}$respectively (with${\mathcal{T}}$the large eddy timescale). Lastly, we also show that flow topology of turbulence in an emulsion is significantly more different from single-phase turbulence than previously thought. In particular, vortex compression and axial straining mechanisms increase in the droplet phase.

Highlights

  • An emulsion consists of a dense suspension of droplets of one fluid suspended in another fluid, and is often formed due to turbulent mixing of these two immiscible fluids

  • Weber number (We) perform direct numerical simulations of emulsions under homogeneous isotropic turbulence conditions performed by using the pseudopotential lattice-Boltzmann method

  • The process of dispersion formation is investigated for varying volume fractions of the dispersed phase and varying turbulence intensities for an emulsion with a density and viscosity ratio of 1

Read more

Summary

Introduction

An emulsion consists of a dense suspension of droplets of one fluid (the dispersed phase) suspended in another fluid (the continuous phase), and is often formed due to turbulent mixing of these two immiscible fluids. Turbulent emulsions can be said to form a particular class of droplet-laden turbulent flows where there is close interplay between turbulence and the dynamics of the dispersed phase Describing these systems involves an account of the dynamics of deforming interfaces, while allowing for coalescence and breakup of droplets, resolution of a range of length and time scales of turbulent flow and the possible presence of surface active agents (surfactants) that can alter the interfacial dynamics. The dispersed phase influences turbulence by drawing turbulent kinetic energy (TKE) from the flow, which partially goes into the difference between the surface energy of parent and daughter droplets, while the rest is stored in the deformation of interfaces This reduces the effective TKE, which has consequences for the turbulence cascade and spectrum, noticeably at scales comparable to droplet sizes. Coalescing droplets in turn set finer flow structures into motion, where interfacial tension releases the energy stored in droplet deformations back as TKE into the flow at scales smaller than the droplet sizes (Dodd & Ferrante 2016)

Literature review
Our study
Lengthscales
Numerical method
Turbulence forcing
Turbulence quantities
Single-phase turbulence
Simulation set-up
Effect of volume fraction
Phase fraction evolution
Droplet number density evolution
Multiphase kinetic energy spectra
Generalized Hinze scale and Weber number spectra
Effect of turbulence intensity
Decreasing the Cahn number to control droplet dissolution
4.10. Droplet number density evolution
4.11. Dispersion morphology
4.12. Effect of domain size
4.13. Effect of forcing wavenumber
Turbulent emulsion dynamics
Vorticity and interface alignment
Effect of droplets on flow topology
Findings
Conclusions
Full Text
Paper version not known

Talk to us

Join us for a 30 min session where you can share your feedback and ask us any queries you have

Schedule a call

Disclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.