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Core mechanisms of drag enhancement on bodies settling in a stratified fluid

Published online by Cambridge University Press:  22 July 2019

Jie Zhang
Affiliation:
State Key Laboratory for Strength and Vibration of Mechanical Structures, School of Aerospace, Xi’an Jiaotong University, Shaanxi 710049, ChinaInstitut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
Matthieu J. Mercier
Affiliation:
Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
Jacques Magnaudet*
Affiliation:
Institut de Mécanique des Fluides de Toulouse (IMFT), Université de Toulouse, CNRS, Toulouse, France
*
†Email address for correspondence: magnau@imft.fr

Abstract

Stratification due to salt or heat gradients greatly affects the distribution of inert particles and living organisms in the ocean and the lower atmosphere. Laboratory studies considering the settling of a sphere in a linearly stratified fluid confirmed that stratification may dramatically enhance the drag on the body, but failed to identify the generic physical mechanism responsible for this increase. We present a rigorous splitting scheme of the various contributions to the drag on a settling body, which allows them to be properly disentangled whatever the relative magnitude of inertial, viscous, diffusive and buoyancy effects. We apply this splitting procedure to data obtained via direct numerical simulation of the flow past a settling sphere over a range of parameters covering a variety of situations of laboratory and geophysical interest. Contrary to widespread belief, we show that, in the parameter range covered by the simulations, the drag enhancement is generally not primarily due to the extra buoyancy force resulting from the dragging of light fluid by the body, but rather to the specific structure of the vorticity field set in by buoyancy effects. Simulations also reveal how the different buoyancy-induced contributions to the drag vary with the flow parameters. To unravel the origin of these variations, we analyse the different possible leading-order balances in the governing equations. Thanks to this procedure, we identify several distinct regimes which differ by the relative magnitude of length scales associated with stratification, viscosity and diffusivity. We derive the scaling laws of the buoyancy-induced drag contributions in each of these regimes. Considering tangible examples, we show how these scaling laws combined with numerical results may be used to obtain reliable predictions beyond the range of parameters covered by the simulations.

Information

Type
JFM Papers
Copyright
© 2019 Cambridge University Press 
Figure 0

Figure 1.Sketch of the considered flow configuration.

Figure 1

Figure 2.Influence of $Re,\,Fr$ and $Pr$ on the flow structure. Colours: iso-levels of the vertical velocity, $\boldsymbol{u}\boldsymbol{\cdot }\boldsymbol{e}_{z}-1$, in the laboratory frame; solid lines: isopycnals, $\unicode[STIX]{x1D70C}-z=\text{const}.$ (left half), and streamlines (right half).

Figure 2

Figure 3.Contributions, as given in (2.16), to the vertical force on the sphere versus the Froude number for $Re=0.05$ (left) and $Re=100$ (right) with, from top to bottom, $Pr=0.7,\,7$ and $700$. All contributions are normalized by the ‘homogeneous’ drag force, $F_{w}=\boldsymbol{F}_{w}\boldsymbol{\cdot }\boldsymbol{e}_{z}$ at the same $Re$, so that $\boldsymbol{F}\boldsymbol{\cdot }\boldsymbol{e}_{z}/F_{w}=1+(\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D70C}}+\boldsymbol{F}_{\unicode[STIX]{x1D70C}u}+\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D714}})\boldsymbol{\cdot }\boldsymbol{e}_{z}/F_{w}$.

Figure 3

Figure 4.Sketch of the three possible stratification regimes about a unit radius sphere settling at low Reynolds number ($\ell _{\unicode[STIX]{x1D708}}\gg 1$). In (a) the Prandtl number has been selected such that $Pr\gtrsim 1$ (since $\ell _{\unicode[STIX]{x1D705}}\lesssim \ell _{\unicode[STIX]{x1D708}}$), while in (b) $Pr\gg 1$ (since $\ell _{\unicode[STIX]{x1D705}}\ll \ell _{\unicode[STIX]{x1D708}}$). The high-$Re$ case is similar, except that $\ell _{\unicode[STIX]{x1D708}}$ is much smaller than the characteristic body size.

Figure 4

Figure 5.Variations of normalized force components $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D70C}}\boldsymbol{\cdot }\boldsymbol{e}_{z}/F_{w}$ (triangles, red online) and $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D714}}\boldsymbol{\cdot }\boldsymbol{e}_{z}/F_{w}$ (circles, blue online) in the low-$Re$ regime ($Re=0.05$); dash-dotted line: $Pr=0.7$, solid line: $Pr=700$.

Figure 5

Figure 6.Variations of normalized force components $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D70C}}\boldsymbol{\cdot }\boldsymbol{e}_{z}/F_{w}$ (triangles, red online) and $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D714}}\boldsymbol{\cdot }\boldsymbol{e}_{z}/F_{w}$ (circles, blue online) in the high-$Re$ regime ($Re=100$); dash-dotted line: $Pr=0.7$, solid line: $Pr=700$.

Figure 6

Table 1.Domains of existence of the various stratification regimes. Numbers in each row refer to the equation providing the corresponding scaling law for $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D714}}$ and $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D70C}}$, respectively. The bounds of some regimes have been simplified by considering only $Pr$ in the range $[1,\,\infty ]$.

Figure 7

Figure 7.Variations of the normalized force components from $Re=50$ (pale lines, yellow online) to $Re=100$ (dark lines, blue online). (a) $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D714}}/F_{w}$; (b) $\boldsymbol{F}_{\unicode[STIX]{x1D70C}\unicode[STIX]{x1D70C}}/F_{w}$. Dash-dotted lines: $Pr=0.7$, solid lines: $Pr=700$.

Figure 8

Figure 8.Evolution of the drag coefficient, $C_{D}$, and vertical fluid velocity, $\boldsymbol{u}\boldsymbol{\cdot }\boldsymbol{e}_{z}-1$, for $Re=100,\,Pr=700$ and $Fr=0.3$. (a) Centred scheme; (b) van Leer TVD scheme.

Figure 9

Table 2.Nusselt number for the heat/mass transfer at the surface of a spherical bubble immersed in a high-Reynolds-number uniform flow. The theoretical prediction corresponds to the limit $Re\rightarrow \infty$, while the numerical predictions were obtained with $Re=2500$.

Figure 10

Figure 9.A typical computational domain ($N_{r}\times N_{\unicode[STIX]{x1D703}}=160\times 200$ with $\unicode[STIX]{x1D6FF}_{\unicode[STIX]{x1D703}}=\unicode[STIX]{x1D6FF}_{r}=1.0\times 10^{-3}$). (a) General view, with the refined region 1 aimed at capturing the small-scale wake structure downstream of the sphere; for clarity, only one out of five (respectively two) cells is displayed in each direction in region 1 (respectively region 2). (b) Zoom around the upper half of the sphere.

Figure 11

Figure 10.(a) Evolution of the drag coefficient, and (b) variations of the vertical velocity $w-1$ along the wake centreline in the laboratory frame (with $w=\boldsymbol{u}\boldsymbol{\cdot }\boldsymbol{e}_{z}$), both for $Re=100,\,Pr=700$ and $Fr=0.1$. Solid line: grid I, dotted line: grid II, dash-dotted line: grid III.

Figure 12

Figure 11.Comparison of present predictions (solid line, blue online) with available low-$Re$ computational or theoretical results (dotted line, red online). (a) $Pr=700$, present results obtained with $Re=0.05$ and variable $Fr$ are compared with the fit of DNS data reported by Yick et al. (2009); (b) present results obtained with $Re=0.05$ and $Pr=0.7$ (i.e. $Pe=0.035$) and variable $Fr$ are compared with the asymptotic prediction of Candelier et al. (2014).

Figure 13

Figure 12.Comparison of the drag coefficient predicted for $Re=100$ and $Pr=700$ with results of Hanazaki et al. (2015).

Figure 14

Figure 13.Iso-contours of the vertical velocity in the laboratory frame, $w-1$, at steady state ($w=\boldsymbol{u}\boldsymbol{\cdot }\boldsymbol{e}_{z}$). (a) Figure 9(a) reprinted from Hanazaki et al. (2015) with permission from Cambridge University Press; (b) present results. Solid (dashed) lines correspond to $w-1\geqslant 0$ ($w-1<0$) with intervals of $w_{max}/10$ ($\mid w_{min}-1\mid /10$). Values mentioned within the sphere are the maximum and minimum velocities in the wake.

Figure 15

Figure 14.Relationship between vertical velocity and buoyancy for an Argo float, showing distinctly the linear drag law (inset) corresponding to the stratification-dominated low-velocity regime, and the usual quadratic regime. In the quadratic regime, the drag coefficient differs according to the sign of the vertical velocity, because the ‘drogue’ is open (closed) when the float goes up (down). From D’Asaro (2003). ©American Meteorological Society, used with permission.

Figure 16

Figure 15.Parameter range covered by laboratory experiments performed in a linear stratified fluid with polystyrene spheres with $a=196\,\unicode[STIX]{x03BC}\text{m}$ (experiments 1, 2, 3, 5, 6, 9 and 10) and $a=390\,\unicode[STIX]{x03BC}\text{m}$ (experiments 4, 7, 8 and 11). Values of $N$ range from $N\approx 1.7~\text{s}^{-1}$ (e.g. in runs 1 and 2), to $N\approx 3~\text{s}^{-1}$ (e.g. in runs 3 and 6). From Yick et al. (2009), with permission from Cambridge University Press.

Figure 17

Figure 16.A 10 mm diameter Teflon sphere settling through a silicone oil/water–glycerin set-up, with $\unicode[STIX]{x0394}\unicode[STIX]{x1D70C}/\unicode[STIX]{x1D70C}_{1}=1.25,\,Re\approx 30,\,Fr\approx 3$. From Pierson & Magnaudet (2018), with permission from Cambridge University Press.