English

Two-dimensional Turbulence in Symmetric Binary-Fluid Mixtures: Coarsening Arrest by the Inverse Cascade

Fluid Dynamics 2017-04-06 v1 Soft Condensed Matter

Abstract

We study two-dimensional (2D) binary-fluid turbulence by carrying out an extensive direct numerical simulation (DNS) of the forced, statistically steady turbulence in the coupled Cahn-Hilliard and Navier-Stokes equations. In the absence of any coupling, we choose parameters that lead (a) to spinodal decomposition and domain growth, which is characterized by the spatiotemporal evolution of the Cahn-Hilliard order parameter ϕ\phi, and (b) the formation of an inverse-energy-cascade regime in the energy spectrum E(k)E(k), in which energy cascades towards wave numbers kk that are smaller than the energy-injection scale kinjk_{inj} in the turbulent fluid. We show that the Cahn-Hilliard-Navier-Stokes coupling leads to an arrest of phase separation at a length scale LcL_c, which we evaluate from S(k)S(k), the spectrum of the fluctuations of ϕ\phi. We demonstrate that (a) LcLHL_c \sim L_H, the Hinze scale that follows from balancing inertial and interfacial-tension forces, and (b) LcL_c is independent, within error bars, of the diffusivity DD. We elucidate how this coupling modifies E(k)E(k) by blocking the inverse energy cascade at a wavenumber kck_c, which we show is 2π/Lc\simeq 2\pi/L_c. We compare our work with earlier studies of this problem.

Keywords

Cite

@article{arxiv.1506.08524,
  title  = {Two-dimensional Turbulence in Symmetric Binary-Fluid Mixtures: Coarsening Arrest by the Inverse Cascade},
  author = {Prasad Perlekar and Nairita Pal and Rahul Pandit},
  journal= {arXiv preprint arXiv:1506.08524},
  year   = {2017}
}