Abstract:We study the fundamental physics of cascades and spectra in two-dimensional (2D) Cahn-Hilliard-Navier-Stokes (CHNS) turbulence, and compare and contrast this system with 2D magnetohydrodynamic (MHD) turbulence. The important similarities include basic equations, ideal quadratic invariants, cascades, and the role of linear elastic waves. Surface tension induces elasticity, and the balance between surface tension energy and turbulent kinetic energy determines a length scale (Hinze scale) of the system. The Hinze… Show more
“…For the binary mixture plots we also overlay the iso-contour of the order parameter φ for φ = 0 to highlight the interface. size of binary-fluid domains lie within the inertial range (Aronovitz and Nelson 1984;Perlekar et al 2014;Fan et al 2016).…”
We conduct direct numerical simulation (DNS) of the Cahn-Hilliard-Navier-Stokes (CHNS) equations to investigate the statistical properties of the turbulent phaseseparating symmetric binary-fluid mixture. Turbulence causes an arrest of the phaseseparation which leads to the formation of a statistically steady emulsion. We characterize turbulent velocity fluctuations in an emulsion for different values of the Reynolds number and the Weber number. Our scale-by-scale kinetic energy budget analysis shows that the interfacial terms in the CHNS provide an alternate route for the kinetic energy transfer. By studying the probability distribution function (PDF) of the energy dissipation rate, the vorticity magnitude, and the joint-PDF of the velocity-gradient invariants we show that the statistics of the turbulent fluctuations do not change with the Weber number.
“…For the binary mixture plots we also overlay the iso-contour of the order parameter φ for φ = 0 to highlight the interface. size of binary-fluid domains lie within the inertial range (Aronovitz and Nelson 1984;Perlekar et al 2014;Fan et al 2016).…”
We conduct direct numerical simulation (DNS) of the Cahn-Hilliard-Navier-Stokes (CHNS) equations to investigate the statistical properties of the turbulent phaseseparating symmetric binary-fluid mixture. Turbulence causes an arrest of the phaseseparation which leads to the formation of a statistically steady emulsion. We characterize turbulent velocity fluctuations in an emulsion for different values of the Reynolds number and the Weber number. Our scale-by-scale kinetic energy budget analysis shows that the interfacial terms in the CHNS provide an alternate route for the kinetic energy transfer. By studying the probability distribution function (PDF) of the energy dissipation rate, the vorticity magnitude, and the joint-PDF of the velocity-gradient invariants we show that the statistics of the turbulent fluctuations do not change with the Weber number.
“…The definition of the typical blob size varies from one study to the next. Since this measure is also commonly used in the study of phase separation through spinodal decomposition (Fan et al, 2016), we chose here to use the same definition (see Methods). This allowed us to directly compare our dynamics to a purely physical situation.…”
Section: Dynamics Of Cell Sorting In Hydra Aggregatesmentioning
Summary statementHydra regenerates after dissociation into single cells. We show how physical mechanisms can explain the first step of regeneration, whereby ectodermal and endodermal cells sort out to form distinct tissue layers.
AbstractCell sorting, whereby a heterogeneous cell mixture organizes into distinct tissues, is a fundamental patterning process in development. So far, most studies of cell sorting have relied either on 2-dimensional cellular aggregates, in vitro situations that do not have a direct counterpart in vivo, or were focused on the properties of single cells. Here, we report the first multiscale experimental study on 3-dimensional regenerating Hydra aggregates, capable of reforming a full animal. By quantifying the kinematics of single cell and whole aggregate behaviors, we show that no differences in cell motility exist among cell types and that sorting dynamics follow a power law. Moreover, we measure the physical properties of separated tissues and determine their viscosities and surface tensions. Based on our experimental results and numerical simulations, we conclude that tissue interfacial tensions are sufficient to explain Hydra cell sorting. Doing so, we illustrate D'Arcy Thompson's central idea that biological organization can be understood through physical principles, an idea which is currently re-shaping the field of developmental biology.
“…In our previous study [9], we stressed the analogy between 2D CHNS and 2D MHD. The energy in MHD consists of two parts: kinetic energy and magnetic energy.…”
Section: Fig 5: the Time Evolution Of Elastic Energy (Run2)mentioning
confidence: 98%
“…The two systems have identical ideal quadratic conserved quantities, and they both exhibit dual cascades. Our previous work [9] showed that the mean square concentration spectrum for the 2D CHNS system in the elastic range is ∼ k −7/3 , and it is associated with an inverse cascade of mean square concentration. Note that the power −7/3 is the same as the power for the mean square magnetic potential spectrum in 2D MHD.…”
We study the evolution of the concentration field in a single eddy in the two-dimensional (2D) Cahn-Hilliard system to better understand scalar mixing processes in that system. This study extends investigations of the classic studies of flux expulsion in 2D magnetohydrodynamics and homogenization of potential vorticity in 2D fluids. Simulation results show that there are three stages in the evolution: (A) formation of a "jelly roll" pattern, for which the concentration field is constant along spirals; (B) a change in isoconcentration contour topology; and (C) formation of a target pattern, for which the isoconcentration contours follow concentric annuli. In the final target pattern stage, the isoconcentration bands align with stream lines. The results indicate that the target pattern is a metastable state. The band merger process continues on a time scale exponentially long relative to the eddy turnover time. The band merger process resembles step merger in drift-ZF staircases; this is characteristic of the long-time evolution of phase-separated patterns described by the Cahn-Hilliard equation.
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