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Lagrangian transport in a class of three-dimensional buoyancy-driven flows

Published online by Cambridge University Press:  26 October 2017

P. S. Contreras
Affiliation:
Energy Technology Laboratory, Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands Fluid Dynamics Laboratory, Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands
M. F. M. Speetjens*
Affiliation:
Energy Technology Laboratory, Department of Mechanical Engineering, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands
H. J. H. Clercx
Affiliation:
Fluid Dynamics Laboratory, Department of Applied Physics, Eindhoven University of Technology, P.O. Box 513, 5600 MB Eindhoven, The Netherlands
*
†Email address for correspondence: m.f.m.speetjens@tue.nl

Abstract

The present study concerns the Lagrangian dynamics of three-dimensional (3D) buoyancy-driven cavity flows under steady and laminar conditions due to a global temperature gradient imposed via an opposite hot and cold sidewall. This serves as the archetypal configuration for natural-convection flows in which (contrary to the well-known Rayleigh–Bénard flow) gravity is perpendicular (instead of parallel) to the global temperature gradient. Limited insight into the Lagrangian properties of this class of flows, despite its relevance to observed flow phenomena as well as scalar transport, motivates this study. The 3D Lagrangian dynamics are investigated in terms of the generic structure and associated transport properties of the global streamline pattern (‘Lagrangian flow topology’) by both theoretical and computational analyses. The Grashof number $Gr$ is the principal control parameter for the flow topology: limit $Gr=0$ yields a trivial state of closed streamlines; $Gr>0$ induces symmetry breaking by fluid inertia and buoyancy and thus causes formation of toroidal coherent structures (‘primary tori’) embedded in chaotic streamlines governed by Hamiltonian mechanisms. Fluid inertia prevails for ‘smaller’ $Gr$ and gives behaviour that is dynamically entirely analogous to 3D lid-driven cavity flows. Buoyancy-induced bifurcation of the flow topology occurs for ‘larger’ $Gr$ and underlies the emergence of ‘secondary rolls’ observed in the literature and to date unreported secondary tori for ‘larger’ Prandtl numbers $Pr$ . Key to these dynamics are stagnation points and corresponding heteroclinic manifold interactions.

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Papers
Copyright
© 2017 Cambridge University Press 
Figure 0

Figure 1. Buoyancy-driven flow inside a cubical cavity due to differential heating via cold (blue; temperature $T_{0}) and hot (red; $T_{1}>T_{bulk}$) vertical walls (perspective view into 3D cavity along $y$-axis). Other walls are thermally insulated. This sets up circulatory flow (black arrow) due to rising (red arrow) and descending (blue arrow) fluid at hot and cold walls, respectively.

Figure 1

Figure 2. Temperature field (a,d) and typical streamlines (b,e, c,f) in limit $Gr=0$ (a–c) versus general case $Gr>0$ (d–f; $Gr=3.2\times 10^{3}$) demonstrated for $Pr=0.71$. Blue/red in (a,d) indicates minimum/maximum temperatures; (c,f) gives streamlines in midplane $y=1/2$. The dot in panel (b) indicates the origin of the shown reference frame.

Figure 2

Figure 3. Formation of toroidal structures by non-closed streamlines in the generic case $Gr>0$ demonstrated for $Gr=7.9\times 10^{2}$ and $Pr=0.71$. Shown are cross-sections with the plane $x=1/2$; these are always symmetric about lines $y=1/2$ and $z=1/2$ (dashed).

Figure 3

Figure 4. Hamiltonian breakdown of toroidal structures with increasing departure from the limit $Gr=0$ demonstrated for $Pr=0.71$: (a) $Gr=3.2\times 10^{3}$; (b) $Gr=2.4\times 10^{4}$;(c) $Gr=7.2\times 10^{4}$. Visualisation by intersections with the plane $x=1/2$ (‘Poincaré section’); only upper-left quadrant $(y,z)\in [0,1/2]\times [1/2,1]$ is shown owing to symmetry within plane $x=1/2$.

Figure 4

Figure 5. Flow topology near stagnation point $\boldsymbol{x}_{c}$ (black marker) in canonical space spanned by eigenvectors $(\boldsymbol{v}_{1},\boldsymbol{v}_{2},\boldsymbol{v}_{3})$ including typical streamline (red): (a) focus with $W_{1D}$ (heavy line) and $W_{2D}$ (shaded); (b–d) NSS with here $W_{2D}$ and $W_{1D}$ corresponding with $(\boldsymbol{v}_{1},\boldsymbol{v}_{3})$-plane (shaded) and $\boldsymbol{v}_{2}$-axis, respectively; (b) shows node-type streamline portrait in $W_{2D}$; (c,d) show saddle-type streamline portraits in transverse $(\boldsymbol{v}_{2},\boldsymbol{v}_{3})/(\boldsymbol{v}_{1},\boldsymbol{v}_{2})$-planes.

Figure 5

Figure 6. Thermal and flow phenomena underlying fundamental Lagrangian dynamics: (a) thermally induced counter-clockwise circulation about stagnation point $\boldsymbol{x}_{c}=(x,z)=(1/2,1/2)$ due to descent ($u_{z}<0$) and ascent ($u_{z}>0$) of fluid at the cold ($x=0$) and warm ($x=1$) walls, respectively; (b) flow-induced penetration of warm and cold temperature fronts in ‘cold’ ($x<1/2$) and ‘warm’ regions ($x>1/2$), respectively. The latter is illustrated with isotherm $T=1/2$ for ‘weaker’ ($Pe_{1}$) and ‘stronger’ ($Pe_{2}>Pe_{1}$) convective heat transfer (parameterised by Péclet number $Pe=GrPr$). For ‘sufficient’ $Pe$ (here $Pe=Pe_{2}$) this creates local heating (I) and cooling (II) zones adjacent to $\boldsymbol{x}_{c}$.

Figure 6

Figure 7. Generic 3D flow topology in subregion $0\leqslant y\leqslant 1/2$ separated by ${\mathcal{P}}$ (dashed/shaded) in the inertia-dominated regime demonstrated for $Pr=0.71$ and $Gr=2.4\times 10^{4}$: (a) 3D perspective view; (b) Poincaré section ($x=1/2$). Key entities: focus $\boldsymbol{x}_{c}=(1/2,1/2,1/2)$ (black marker) with ${\mathcal{P}}$ and ${\mathcal{L}}$ (magenta) as associated 2D manifold and 1D manifold, respectively; KAM torus (blue); torus corresponding with island chains (cyan); 3D chaotic streamline (black).

Figure 7

Figure 8. Typical streamline portraits in ${\mathcal{P}}$ before (a,c) and after (b,d) bifurcation of the central stagnation point (black marker) from focus to saddle (NSS in 3D) with accompanying pair of foci (cyan markers) demonstrated for $Pr=0.71$ (a,b) and $Pr=7$ (c,d): (a) pre-bifurcation ($Gr=2.4\times 10^{4}$); (b) post-bifurcation ($Gr=7.2\times 10^{4}$); (c) pre-bifurcation ($Gr=1.3\times 10^{3}$); (d) post-bifurcation ($Gr=1.0\times 10^{4}$). Blue streamline: stable manifold of saddle forming heteroclinic orbits with foci; red streamline: unstable manifold of saddle separating 2D manifolds of foci within the symmetry plane; black/grey curves: typical streamlines within each 2D manifold.

Figure 8

Figure 9. Emergence of secondary family of KAM tori around ${\mathcal{L}}$ (dashed) at cavity wall $y=0$ and its expansion with growing $Gr$ demonstrated for $Pr=7$: (a) $Gr=1.0\times 10^{4}$;(b) $Gr=1.7\times 10^{4}$; (c) $Gr=2.5\times 10^{4}$. Visualisation by the left half ($0\leqslant y\leqslant 1/2$) of Poincaré sections ($x=1/2$).

Figure 9

Figure 10. Bifurcation diagram for the pitchfork bifurcation: threshold $Gr^{\ast }$ versus $Pr$. Symbols indicate data points from numerical simulations; the dashed curve indicates the approximate bifurcation threshold $Gr\approx aPr^{b}$, with coefficients $(a,\!b)=(2.53\times 10^{4},-0.97)$.

Figure 10

Figure 11. Typical configuration of stagnation points in symmetry plane/line (${\mathcal{P}}/{\mathcal{L}}$) and associated manifolds in bifurcated 3D flow topology demonstrated for $Pr=7$ and $Gr=2.5\times 10^{4}$: (a) stagnation points $(\boldsymbol{f}_{{\mathcal{P}},1,2},\boldsymbol{n}_{{\mathcal{P}}},\boldsymbol{f}_{{\mathcal{L}}},\boldsymbol{n}_{{\mathcal{L}}})$ (black stars) and local orientation of associated 1D (lines) and 2D (planes/disks) manifolds (blue/red: stable/unstable); (b) 3D manifold configuration encompassing $W_{1D}^{u}(\boldsymbol{f}_{{\mathcal{P}},1,2})$ (blue/cyan), $W_{2D}^{u}(\boldsymbol{n}_{{\mathcal{P}}})$ (grey/black), $W_{1D}^{u}(\boldsymbol{n}_{{\mathcal{L}}})$ (red), $W_{2D}^{s}(\boldsymbol{n}_{{\mathcal{L}}})$ (green) and heteroclinic orbit ${\mathcal{L}}=(W_{2D}^{u}(\boldsymbol{n}_{{\mathcal{P}}})\cap W_{2D}^{s}(\boldsymbol{n}_{{\mathcal{L}}}))\cup W_{1D}^{s}(\boldsymbol{f}_{{\mathcal{L}}})$ (magenta); (c) global foliation of manifolds ($W_{2D}$ represented by single constituent streamline); (d) Poincaré section $x=1/2$ (shows larger portions of streamlines than in panel c). Note that $W_{2D}^{u}$ of $\boldsymbol{f}_{{\mathcal{L}}}$ (grey marker in panels b–d) is not included due to its localised nature.

Figure 11

Figure 12. Typical bifurcated 3D flow topology in subregion $0\leqslant y\leqslant 1/2$ separated by ${\mathcal{P}}$ (dashed/shaded) demonstrated for $Pr=7$ and $Gr=2.5\times 10^{4}$:(a) formation of ‘skeleton’ by $W_{1D}^{u}(\boldsymbol{f}_{{\mathcal{P}},1,2})$ (blue/cyan) centred on ${\mathcal{L}}$ (magenta) partitioning shown subregion into interior and exterior zones; (b) interior (green) and exterior (red) families of KAM tori separated by ‘skeleton’; (c) interior (light grey) and exterior (dark grey/black) chaotic streamlines; (d) Poincaré section $x=1/2$ (shows larger portion of chaotic streamlines than in panel c.)

Figure 12

Figure 13. Bifurcated 3D flow topology in subregion $0\leqslant y\leqslant 1/2$ separated by ${\mathcal{P}}$ (dashed/shaded) for $Pr=0.71$ and $Gr=7.2\times 10^{4}$: (a) formation of ‘skeleton’ by $W_{1D}^{s}(\boldsymbol{f}_{{\mathcal{P}},1,2})$ (blue/cyan) centred on ${\mathcal{L}}$ (magenta) and encircled by a single streamline within $W_{2D}^{s}(\boldsymbol{n}_{{\mathcal{P}}})$ (black); (b) Poincaré section $x=1/2$ (shows larger portion of streamlines than in panel a.)

Figure 13

Figure 14. Spectral representation of the COMSOL field in terms of the planar field $(u_{x},u_{z})$ in the symmetry plane ${\mathcal{P}}$ for $M=N=P=24$: (a) $u_{x}$ for $Gr=0$;(b) $u_{z}$ for $Gr=0$; (c) $u_{x}$ for $(Pr,Gr)=(7,2.5\times 10^{4})$; (d) $u_{z}$ for $(Pr,Gr)=(7,2.5\times 10^{4})$. Left and right maps in each panel correspond to the spectral representation and the deviation from the original COMSOL field, respectively.

Figure 14

Figure 15. Performance of spectral Lagrangian tracking scheme for resolution of closed streamlines in limit $Gr=0$: (a) typical streamline identified via COMSOL field (black) versus spectral representation ($M=16$: blue; $M=24$: magenta; $M=36$: red); (b) streamlines in symmetry plane ${\mathcal{P}}$ (filled circles: initial tracer positions) determined with spectral approach ($M=24$); (c) drift $\unicode[STIX]{x0394}r_{n}$ of intersection of streamlines with the horizontal axis (dashed in panel b) versus number of revolutions $n$ about the stagnation point (black star in panel b).

Figure 15

Figure 16. Performance of spectral Lagrangian tracking scheme for resolution of KAM tori for ‘small’ $Gr$ demonstrated by case $Pr=0.71$ and $Gr=3.2\times 10^{3}$: (a) typical streamline delineating a KAM torus identified via COMSOL field (black) versus spectral representation ($M=16$: blue; $M=24$: magenta; $M=36$: red); (b) corresponding Poincaré sections.

Figure 16

Figure 17. Performance of spectral Lagrangian tracking scheme for resolution of typical island chain at ‘large’ $Gr$ demonstrated by case $Pr=0.71$ and $Gr=7.2\times 10^{4}$: (a) COMSOL; (b–d) spectral approach for $M=16$ (b), $M=24$ (c) and $M=36$ (d).

Figure 17

Figure 18. Performance of spectral Lagrangian tracking scheme for resolution of typical island chains within chaotic sea at ‘large’ $Gr$ demonstrated by case $Pr=0.71$ and $Gr=7.2\times 10^{4}$: (a) $M=16$; (b) $M=24$; (c) $M=36$.