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Small-scale dynamics of settling, bidisperse particles in turbulence

Published online by Cambridge University Press:  02 February 2018

Rohit Dhariwal
Affiliation:
Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708, USA
Andrew D. Bragg*
Affiliation:
Department of Civil and Environmental Engineering, Duke University, Durham, NC 27708, USA
*
†Email address for correspondence: andrew.bragg@duke.edu

Abstract

Mixing and collisions of inertial particles at the small scales of turbulence can be investigated by considering how pairs of particles move relative to each other. In real problems the two particles will have different sizes, i.e. they are bidisperse, and the effect of gravity on their motion is often important. However, how turbulence and gravity compete to control the motion of bidisperse inertial particles is poorly understood. Motivated by this, we use direct numerical simulations (DNS) to investigate the dynamics of settling, bidisperse particles in isotropic turbulence. In agreement with previous studies, we find that without gravity (i.e. $Fr=\infty$ , where $Fr$ is the Froude number), bidispersity leads to an enhancement of the relative velocities, and a suppression of their spatial clustering. For $Fr<1$ , the relative velocities in the direction of gravity are enhanced by the differential settling velocities of the bidisperse particles, as expected. However, we also find that gravity can strongly enhance the relative velocities in the ‘horizontal’ directions (i.e. in the plane normal to gravity). This non-trivial behaviour occurs because fast settling particles experience rapid fluctuations in the fluid velocity field along their trajectory, leading to enhanced particle accelerations and relative velocities. Indeed, the results show that even when $Fr\ll 1$ , turbulence can still play an important role, not only on the horizontal motion, but also on the vertical motion of the particles. This is related to the fact that $Fr$ only characterizes the importance of gravity compared with some typical acceleration of the fluid, yet accelerations in turbulence are highly intermittent. As a consequence, there is a significant probability for particles to be in regions of the flow where the Froude number based on the local, instantaneous fluid acceleration is ${>}1$ , even though the typically defined Froude number is $\ll 1$ . This could imply, for example, that extreme events in the mixing of settling, bidisperse particles are only weakly affected by gravity even when $Fr\ll 1$ . We also find that gravity drastically reduces the clustering of bidisperse particles. These results are strikingly different to the monodisperse case, for which recent results have shown that when $Fr<1$ , gravity strongly suppresses the relative velocities in all directions, and can enhance clustering. Finally, we consider the implications of these results for the collision rates of settling, bidisperse particles in turbulence. We find that for $Fr=0.052$ , the collision kernel is almost perfectly predicted by the collision kernel for bidisperse particles settling in quiescent flow, such that the effect of turbulence may be ignored. However, for $Fr=0.3$ , turbulence plays an important role, and the collisions are only dominated by gravitational settling when the difference in the particle Stokes numbers is ${\geqslant}O(1)$ .

Information

Type
JFM Papers
Copyright
© 2018 Cambridge University Press 
Figure 0

Table 1.Flow parameters in DNS of isotropic turbulence (arbitrary units). $N$ is the number of grid points in each direction, $R_{\unicode[STIX]{x1D706}}\equiv u^{\prime }\unicode[STIX]{x1D706}/\unicode[STIX]{x1D708}$ is the Taylor microscale Reynolds number, $Fr\equiv \unicode[STIX]{x1D716}^{3/4}/(\unicode[STIX]{x1D708}^{1/4}\mathfrak{g})$ is the Froude number, $\mathscr{L}$ is the domain size, $\unicode[STIX]{x1D708}$ is the fluid kinematic viscosity, $\unicode[STIX]{x1D716}\equiv 2\unicode[STIX]{x1D708}\int _{0}^{\unicode[STIX]{x1D705}_{max}}\unicode[STIX]{x1D705}^{2}E(\unicode[STIX]{x1D705})\,\text{d}\unicode[STIX]{x1D705}$ is the mean turbulent kinetic energy dissipation rate, $l\equiv 3\unicode[STIX]{x03C0}/(2k)\int _{0}^{\unicode[STIX]{x1D705}_{max}}E(\unicode[STIX]{x1D705})/\unicode[STIX]{x1D705}\,\text{d}\unicode[STIX]{x1D705}$ is the integral length scale, $\unicode[STIX]{x1D702}\equiv \unicode[STIX]{x1D708}^{3/4}/\unicode[STIX]{x1D716}^{1/4}$ is the Kolmogorov length scale, $u^{\prime }\equiv \sqrt{(2k/3)}$ is the fluid r.m.s. fluctuating velocity, $k$ is the turbulent kinetic energy, $u_{\unicode[STIX]{x1D702}}$ is the Kolmogorov velocity scale, $T_{L}\equiv l/u^{\prime }$ is the large-eddy turnover time, $\unicode[STIX]{x1D70F}_{\unicode[STIX]{x1D702}}\equiv \sqrt{(\unicode[STIX]{x1D708}/\unicode[STIX]{x1D716})}$ is the Kolmogorov time scale, $\unicode[STIX]{x1D705}_{max}$ is the maximum resolved wavenumber and $N_{p}$ is the number of particles per Stokes number.

Figure 1

Figure 1.DNS results for $S_{2\Vert }/u_{\unicode[STIX]{x1D702}}^{2}$ as a function of $r/\unicode[STIX]{x1D702}$ for different $St_{1},St_{2},Fr$ combinations. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$ and solid lines correspond to the monodisperse case with $Fr=\infty$. The numbers next to the dashed lines indicate the $St_{2}$ value that they correspond to.

Figure 2

Figure 2.DNS results for $S_{2\bot }/u_{\unicode[STIX]{x1D702}}^{2}$ as a function of $r/\unicode[STIX]{x1D702}$ for different $St_{1},St_{2},Fr$ combinations. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$ and solid lines correspond to the monodisperse case with $Fr=\infty$. The numbers next to the dashed lines indicate the $St_{2}$ value that they correspond to.

Figure 3

Figure 3.DNS results for ${\mathcal{P}}(|w_{\Vert }||r)$ as a function of $|w_{\Vert }|/u_{\unicode[STIX]{x1D702}}$ for different $St_{1},St_{2},Fr$ combinations, with $r=\unicode[STIX]{x1D702}$. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, and open symbols to $Fr=0.052$.

Figure 4

Figure 4.DNS results for $\langle [w_{1,3}^{p}(t)]^{2}\rangle _{r}/u_{\unicode[STIX]{x1D702}}^{2}$ as a function of $r/\unicode[STIX]{x1D702}$ for $St_{1}=0.1$ and different $St_{2},Fr$ combinations. Circles correspond to the vertical velocities and squares correspond to the horizontal velocities. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$. The dotted and solid horizontal lines correspond to (4.1) for $Fr=0.3$ and $Fr=0.052$, respectively.

Figure 5

Figure 5.DNS results for $\langle [w_{1,3}^{p}(t)]^{2}\rangle _{r}/u_{\unicode[STIX]{x1D702}}^{2}$ as a function of $r/\unicode[STIX]{x1D702}$ for $St_{1}=1$ and different $St_{2},Fr$ combinations. Circles correspond to the vertical velocities and squares correspond to the horizontal velocities. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$. The dotted and solid horizontal lines correspond to (4.1) for $Fr=0.3$ and $Fr=0.052$, respectively.

Figure 6

Figure 6.DNS results for ${\mathcal{P}}(|w_{1}||r)$ and ${\mathcal{P}}(|w_{3}||r)$ as a function of $|w_{1,3}|/u_{\unicode[STIX]{x1D702}}$ for $St_{1}=0.1$, different $St_{2},Fr$ combinations, and with $r=\unicode[STIX]{x1D702}$. Circles correspond to the vertical velocities and squares correspond to the horizontal velocities. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$. The vertical lines correspond to $u_{\unicode[STIX]{x1D702}}|\unicode[STIX]{x0394}St|Fr^{-1}$ for $Fr=0.3$ and $Fr=0.052$.

Figure 7

Figure 7.DNS results for ${\mathcal{P}}(|w_{1}||r)$ and ${\mathcal{P}}(|w_{3}||r)$ as a function of $|w_{1,3}|/u_{\unicode[STIX]{x1D702}}$ for $St_{1}=1$, different $St_{2},Fr$ combinations, and with $r\in [0,2]\unicode[STIX]{x1D702}$. Circles correspond to the vertical velocities and squares correspond to the horizontal velocities. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$. The vertical lines correspond to $u_{\unicode[STIX]{x1D702}}|\unicode[STIX]{x0394}St|Fr^{-1}$ for $Fr=0.3$ and $Fr=0.052$.

Figure 8

Figure 8.DNS results for $g(r)$ as a function of $r/\unicode[STIX]{x1D702}$ for different $St_{1},St_{2},Fr$ combinations. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$ and solid lines correspond to the monodisperse case with $Fr=\infty$. The numbers next to the dashed lines indicate the $St_{2}$ value that they correspond to.

Figure 9

Figure 9.DNS results for $g(r)$ as a function of $St_{2}$, at specific values of $r/\unicode[STIX]{x1D702}$ and for different $St_{1},Fr$ combinations. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$.

Figure 10

Figure 10.DNS results for $\widehat{K}(d)$ as a function of $St_{2}$, for $d=0.125\unicode[STIX]{x1D702}$ and for different $St_{1},Fr$ combinations. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$. The dashed-dot and solid lines correspond to the predictions of (4.5) for $Fr=0.3$ and $Fr=0.052$, respectively.

Figure 11

Figure 11.DNS results for $\widehat{K}$ (circles) and $\widehat{K}_{\mathfrak{g}}^{\prime }$ (squares) as a function of $St_{2}$, for $d=0.125\unicode[STIX]{x1D702}$ and for different $St_{1},Fr$ combinations. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$.

Figure 12

Figure 12.DNS results for $S_{-\Vert }(r)$ as a function of $r/\unicode[STIX]{x1D702}$, for different $St_{1},St_{2},Fr$ combinations. Dashed lines correspond to $Fr=\infty$, filled symbols to $Fr=0.3$, open symbols to $Fr=0.052$. The numbers next to the dashed lines indicate the $St_{2}$ value that they correspond to. The dotted lines correspond to the predictions of (4.6) for $Fr=0.052$, and the solid lines correspond to the predictions of (4.6) for $Fr=0.3$, where the $St_{1},St_{2}$ combinations that the lines correspond to are shown in square brackets for clarity.