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Centrifugally forced Rayleigh–Taylor instability

Published online by Cambridge University Press:  08 August 2018

M. M. Scase*
Affiliation:
School of Mathematical Sciences, University of Nottingham, Nottingham NG7 2RD, UK
R. J. A. Hill
Affiliation:
School of Physics and Astronomy, University of Nottingham, Nottingham NG7 2RD, UK
*
†Email address for correspondence: matthew.scase@nottingham.ac.uk

Abstract

We consider the effect of high rotation rates on two liquid layers that initially form concentric cylinders, centred on the axis of rotation. The configuration may be thought of as a fluid–fluid centrifuge. There are two types of perturbation to the interface that may be considered, an azimuthal perturbation around the circumference of the interface and a varicose perturbation in the axial direction along the length of the interface. It is the first of these types of perturbation that we consider here, and so the flow may be considered essentially two-dimensional, taking place in a circular domain. A linear stability analysis is carried out on a perturbation to the hydrostatic background state and a fourth-order Orr–Sommerfeld-like equation that governs the system is derived. We consider the dynamics of systems of stable and unstable configurations, inviscid and viscous fluids, immiscible fluid layers with surface tension and miscible fluid layers that may have some initial diffusion of density. In the most simple case of two layers of inviscid fluid separated by a sharp interface with no surface tension acting, we show that the effects of the curvature of the interface and the confinement of the system may be characterised by a modified Atwood number. The classical Atwood number is recovered in the limit of high azimuthal wavenumber, or the outer fluid layer being unconfined. Theoretical predictions are compared with numerical experiments and the agreement is shown to be good. We do not restrict our analysis to equal volume fluid layers and so our results also have applications in coating and lubrication problems in rapidly rotating systems and machinery.

Information

Type
JFM Papers
Copyright
© 2018 Cambridge University Press 
Figure 0

Figure 1.Schematic of the two-dimensional circular flow domain. The system is rotating with angular frequency $\unicode[STIX]{x1D6FA}$ and has radius $a$. The fluid density and dynamic viscosity in the inner and outer layers are $\unicode[STIX]{x1D70C}_{1}$, $\unicode[STIX]{x1D707}_{1}$ and $\unicode[STIX]{x1D70C}_{2}$, $\unicode[STIX]{x1D707}_{2}$ respectively. The initial radius of the inner layer is $r_{0}\in (0,a)$. The interface is denoted by $\mathscr{S}$.

Figure 1

Figure 2.A comparison of the approximations to the diffuse layer for $\mathscr{A}=1/2$, $t/Pe=10^{-3}$, $r_{0}=2^{-1/2}$. The exact solution (3.23) is shown as solid bold. The similarity solution (3.27) is plotted but cannot be distinguished by eye at this scale from the exact solution. The piecewise power-law approximation (3.29) is shown as a solid line. The piecewise linear approximation is shown dashed for comparison. Dotted lines indicate the width of the diffuse layer $\unicode[STIX]{x1D6FF}$, given in (3.28).

Figure 2

Figure 3.Comparison of the effect of the various models of the diffuse interface on $\unicode[STIX]{x1D719}$. The no-diffusion case is the solid piecewise line comprising two solid thin line segments that are joined at the black circle. The piecewise diffuse case is the thick black line, the solution is in three segments that coincide at the white circles. $\unicode[STIX]{x1D719}_{1}$ continues dot-dashed after the first white circle, $\unicode[STIX]{x1D719}_{2}$ outside the diffuse region is shown dashed and $\unicode[STIX]{x1D719}_{3}$ is shown dotted to the left of the second white circle. The numerical solutions corresponding to the exact solution of the diffusion equation and the similarity solution of the diffusion equation are shown as a thin solid line and a dashed line, but the difference cannot be seen by eye at this scale. The parameters chosen were: $\mathscr{A}=-1/2$, $t=10^{-3}Pe$, $m=5$, $r_{0}=2^{-1/2}$. The corresponding values of $\unicode[STIX]{x1D714}$ were: for the non-diffuse case $\unicode[STIX]{x1D714}=0.49-1.49\text{i}$; for the piecewise diffusion solution $\unicode[STIX]{x1D714}=0.40-1.35\text{i}$; for the exact and similarity solution diffusion solutions $\unicode[STIX]{x1D714}=0.37-1.31\text{i}$.

Figure 3

Figure 4.The parameters for the simulations shown are $\mathscr{A}=5/6$, $m=20$, $r_{0}=2^{-1/2}$ and where viscous $Re=2\unicode[STIX]{x03C0}\times 10^{6}$. (a) The predicted normalised amplitude of a perturbation to the interface against time shown for the viscous analytical prediction (bold solid), the inviscid theoretical prediction (thin solid) and the numerical simulation (white data points). The amplitude comprises the superposition of two waves, one travelling in the positive $\unicode[STIX]{x1D703}$ direction and the other in the negative $\unicode[STIX]{x1D703}$ direction. (b) The plot shows how the eigenvalues of the two modes of solution are modified as the viscosity of the two fluid layers is increased. The inviscid solution ($\unicode[STIX]{x1D714}_{\infty }^{\pm }$, white data points) is given by (3.7). As the Reynolds number decreases the positive solution approaches zero, whereas the negative solution asymptotes to a finite real value (dashed vertical line) and infinite imaginary value. The real value of the asymptote is given by (A 4). (c) The behaviour of the negative solution as the Reynolds number is varied. In the small Reynolds number limit the solution behaves as $\unicode[STIX]{x1D714}\sim \unicode[STIX]{x1D706}+\text{i}\unicode[STIX]{x1D705}Re^{-1}$. The real part of the solution is shown in bold and the imaginary part is shown as a thin line. The power-law behaviour of the solutions is indicated by the dashed lines. (d) The behaviour of the positive solution as the Reynolds number is varied. In the small Reynolds number limit the solution behaves as $\unicode[STIX]{x1D714}\sim \text{i}\unicode[STIX]{x1D705}Re$ (see (3.50)).

Figure 4

Figure 5.The plots show the behaviour of the eigenvalue $\unicode[STIX]{x1D714}$ with changes in the system Reynolds number, $Re$, for $\mathscr{A}=-5/6$, $m=20$, $r_{0}=2^{-1/2}$. The variation with the viscosity contrast is also shown: the bold solid lines are $\unicode[STIX]{x1D702}=0$, no contrast, matched viscosities; the thin solid lines are $\unicode[STIX]{x1D702}=5/6$, the outer layer is 11 times more viscous than the inner layer; the dashed lines are $\unicode[STIX]{x1D702}=-5/6$, the inner layer is 11 times more viscous than the outer layer. The stable root, left, has the same asymptotic behaviour as the negative root in figure 4(b), diverging to a positive infinite imaginary part as $Re^{-1}$ in the limit $Re\rightarrow 0$. In the limit of large Reynolds number the solution tends toward the inviscid solution shown by the white circle. The unstable solution tends to zero as $Re\rightarrow 0$ and tends to the inviscid solution as $Re\rightarrow \infty$, shown by the white circle. The asymptotic expression (3.50) agrees well with the numerical solution for near the $Re\rightarrow 0$ limit. While the stable branch is sensitive to the viscosity contrast, $\unicode[STIX]{x1D702}$, the unstable branch is insensitive for all $Re$; the differences between the three lines cannot be observed easily at the scale shown.

Figure 5

Figure 6.Simulation of a centrifugally forced Rayleigh–Taylor instability. The parameters were $Re=2\unicode[STIX]{x03C0}\times 10^{2}$, $\mathscr{A}=-1/2$, $r_{0}=2^{-1/2}$ (shown dashed), $\unicode[STIX]{x1D702}=0$ and the initial perturbation was $m=45$, $\unicode[STIX]{x1D716}=4\times 10^{-3}$. The times shown are: (a) $t=0.57$, (b) $t=2.45$, (c) $t=4.34$ and (d) $t=6.22$.

Figure 6

Figure 7.A comparison of the growth rates observed in numerical simulations compared to the theoretical predictions. The parameters for all simulations were $\mathscr{A}=-1/2$, $m=45$, $r_{0}=2^{-1/2}$. The individual simulation runs had: (▫) low viscosity $Re=2\unicode[STIX]{x03C0}\times 10^{6}$, no surface tension, no diffusion; () low viscosity $Re=2\unicode[STIX]{x03C0}\times 10^{6}$, no surface tension, an initial diffuse interface with width $\unicode[STIX]{x1D6FF}=0.067$; (○) high viscosity $Re=2\unicode[STIX]{x03C0}\times 10^{2}$, no surface tension, no diffusion; (▵) low viscosity $Re=2\unicode[STIX]{x03C0}\times 10^{6}$, surface tension $We=5\times 10^{3}$, no diffusion. The straight thin lines are the theoretically predicted growth rates.

Figure 7

Figure 8.The growth of modes of disturbance at an interface without surface tension (a,c) and with surface tension (b,d). Snap shots from the flows are shown in images (a) and (b) at $t=2.51$. The surface tension in (b) and (d) corresponds to a cutoff azimuthal wavenumber $m^{\ast }=45$ for growth as given by (3.18), indicated by the bold vertical line. In (c) and (d) it can be seen that each individual mode evolves in time, indicated by circular data points, filled white at $t=0$ and getting darker with each time step $\unicode[STIX]{x0394}t=0.063$. The predicted magnitude of each mode based on either (3.7) (c) or (3.17) (d), at the final time (black circle) is indicated by a white square. The final times are $t=0.44$ in (c) and $t=0.82$ in (d). It can be seen in (d) that modes that are above the cutoff wavenumber $m^{\ast }=45$ are suppressed at these early times, to a good approximation. The parameters for the flow were $\mathscr{A}=-0.5$, and $We=5.8\times 10^{3}$ in (b) and (d).

Figure 8

Figure 9.(a) The solution, $\unicode[STIX]{x1D719}$, (bold solid line) to (2.8) for $m=12$, $\mathscr{A}=-1/2$, $r_{0}=2^{-1/2}$, $Re=400$, $\unicode[STIX]{x1D707}_{1}=1$, $\unicode[STIX]{x1D707}_{2}=1$ and $\unicode[STIX]{x1D6FF}=2\sqrt{\unicode[STIX]{x03C0}t/Pe}\approx 0.11$, where $t=10^{-3}Pe$. The shown solution is the real part, and corresponds to the solution of the dispersion relation at $\unicode[STIX]{x1D714}=0.22-1.41\text{i}$. The solution constitutes the matching of three analytic solutions; $\unicode[STIX]{x1D719}_{1}$ for $r\in [0,r_{0-}]$ which continues dot-dashed after the solution is matched to $\unicode[STIX]{x1D719}_{2}$ for $r\in [r_{0-},r_{0+}]$. Outside this region $\unicode[STIX]{x1D719}_{2}$ is shown dashed. Finally in $r\in [r_{0+},1]$, $\unicode[STIX]{x1D719}_{3}$ is used, but is shown dashed outside this range. The diffusion width $\unicode[STIX]{x1D6FF}$ is indicated, and the matching between solutions occurs at the white dots. The exact solution is shown as a thin solid line. The kinematic condition is enforced at the black circle. (b) Comparison with the zero-diffusion case (higher amplitude curve); again the transition between the two solutions is shown with a white dot, the solution corresponds to the solution of the dispersion relation at $\unicode[STIX]{x1D714}=0.29-1.62\text{i}$.

Figure 9

Figure 10.Modified pressure contours in perturbed droplets rotating in porous media or Hele-Shaw cells. The initial droplet size is a perturbed circle of initially unit radius, and the cross is for scale (length 0.4 in each direction). The times shown are $t=15$, 25, 30 and 35. There is no external fluid layer.