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Boundary-layer turbulence in experiments on quasi-Keplerian flows

Published online by Cambridge University Press:  15 March 2017

Jose M. Lopez*
Affiliation:
Institute of Fluid Mechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany Departament de Física Aplicada, Univ. Politècnica de Catalunya, Barcelona 08034, Spain Institute of Science and Technology, 3400 Klosterneuburg, Austria
Marc Avila
Affiliation:
Institute of Fluid Mechanics, Friedrich-Alexander-Universität Erlangen-Nürnberg, 91058 Erlangen, Germany Center of Applied Space Technology and Microgravity, University of Bremen, 28359 Bremen, Germany
*
†Email address for correspondence: jlopez@ist.ac.at

Abstract

Most flows in nature and engineering are turbulent because of their large velocities and spatial scales. Laboratory experiments on rotating quasi-Keplerian flows, for which the angular velocity decreases radially but the angular momentum increases, are however laminar at Reynolds numbers exceeding one million. This is in apparent contradiction to direct numerical simulations showing that in these experiments turbulence transition is triggered by the axial boundaries. We here show numerically that as the Reynolds number increases, turbulence becomes progressively confined to the boundary layers and the flow in the bulk fully relaminarizes. Our findings support that turbulence is unlikely to occur in isothermal constant-density quasi-Keplerian flows.

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Papers
Copyright
© 2017 Cambridge University Press 
Figure 0

Figure 1. (a) Rotation speed of the end plates ($\unicode[STIX]{x1D6FA}_{e}$) normalized by the rotation speed of the inner cylinder ($\unicode[STIX]{x1D6FA}_{i}$) in the WR, HTX and MRI configurations. (b) Torque ($G$) on the cylinders and end plates in the WR configuration as a function of $\unicode[STIX]{x1D6FA}_{e}$. $G$ is normalized by the torque of the Couette profile (1.1) ($G_{Couette}$). The optimal rotation range is enclosed in a rectangular box. (c) Same as in (b) for the HTX configuration. In both (b,c) torques were computed at $R_{s}=644$.

Figure 1

Figure 2. Convergence of the spectral coefficients of the radial velocity $u$ in the three spatial directions using the infinity norm. It corresponds to a simulation of the HTX configuration at $R_{s}=25\,747$. This solution has been computed with $L=360$ Chebyshev radial points, $M=320$ Fourier modes and $N=221$ Chebyshev axial points.

Figure 2

Table 1. Maximum spatial resolution and $R_{s}$ for each configuration. $L$, $N$ and $M$ indicate the number of spectral modes in the radial, azimuthal and axial directions, respectively.

Figure 3

Figure 3. Meridional sections $(r,z)$ showing colour maps of the radial (left-hand panel) and axial (right-hand panel) velocities in the WR (a) and HTX (b) configurations. The solutions depicted correspond in both cases to laminar flow computed at $Re_{s}=644$. In all figures shown in this paper, dark (light) regions indicate zones of positive (negative) velocities. There are $20$ contours equally distributed in $u\in [-0.08,0.06]$, $w\in [-0.11,0.11]$ and $u\in [-0.02,0.08]$, $w\in [-0.07,0.07]$ for the WR and HTX configurations, respectively.

Figure 4

Figure 4. (a,b) show isosurfaces of the radial velocity of the leading eigenmodes near the onset of instability. The axisymmetric component has been subtracted to facilitate visualization of the spatial structure of the unstable mode. (a) Equatorial rotating wave with $m=2$ computed at $R_{s}=772$ in the WR configuration. (b) Rotating wave with $m=5$ localized near the end plates for $R_{s}=901$ in the HTX configuration. (c,d) show isosurfaces of the radial velocity for turbulent states computed at $R_{s}=3862$ in the WR (c) and HTX (d) configurations. There are six isosurfaces equally distributed across $u\in [-0.13,0.12]$ and $u\in [-0.09,0.14]$ in the WR and HTX configurations, respectively.

Figure 5

Figure 5. Meridional sections $(r,z)$ showing colour maps of the mean radial (left-hand panel) and axial (right-hand panel) velocities in the WR (a) and HTX (b) configurations. The solutions depicted were computed at $R_{s}=19\,310$ in (a) and $R_{s}=22\,529$ in (b). There are $20$ contours equally distributed in $u\in [-0.16,0.08]$, $w\in [-0.17,0.17]$ and $u\in [-0.07,0.10]$, $w\in [-0.06,0.06]$ for the WR and HTX configurations, respectively.

Figure 6

Figure 6. Evolution of the isosurfaces of the radial velocity $u$ with $R_{s}$ in both configurations. There are two isosurfaces corresponding to $u=\pm 0.04$ in both cases. Note that plots corresponding to the WR configuration are slightly tilted to better illustrate the gradual displacement of the turbulence towards the cylinders.

Figure 7

Figure 7. (a,c) show colour maps and contours illustrating the mean azimuthal velocity $v$ in the WR and HTX configurations, respectively, whereas radial profiles of $v$ computed at three different axial locations are shown in (b) WR and (d) HTX. In both cases the solution depicted corresponds to the maximum $R_{s}$ achieved in our simulations, $R_{s}=47\,630$ in (a,b), and $R_{s}=32\,180$ in (c,d). There are $40$ contours equally distributed across the full range of $v$. The solid (black) line shows the quasi-Keplerian velocity profile (1.1) that would be achieved. The horizontal lines superimposed upon (a) indicate the axial locations at which the azimuthal velocity profiles have been computed.

Figure 8

Figure 8. (a–c) show meridional sections $(r,z)$ illustrating the mean radial, axial and azimuthal velocities in the MRI configuration for a solution computed at $R_{s}=12\,874$. $20$ contours equally distributed across $u\in [-0.15,0.03]$, $w\in [-0.17,0.17]$ and $v\in [0.06,0.78]$ have been added. (d) Radial profiles of $v$ computed at the same axial locations as in figure 7.