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Falling jet of dry granular material in water

Published online by Cambridge University Press:  14 April 2021

G. Saingier
Affiliation:
Surface du Verre et Interfaces, UMR 125, CNRS/Saint-Gobain, 39, quai Lucien Lefranc, F-93303 Aubervilliers, France
A. Sauret
Affiliation:
Department of Mechanical Engineering, University of California, Santa Barbara, CA 93106, USA
P. Jop*
Affiliation:
Surface du Verre et Interfaces, UMR 125, CNRS/Saint-Gobain, 39, quai Lucien Lefranc, F-93303 Aubervilliers, France
*
†Email address for correspondence: Pierre.Jop@saint-gobain.com

Abstract

Modelling the flow of dry granular materials entering water is crucial for optimizing blending processes in industry and for natural hazard assessment when describing tsunami waves induced by landslides. In this study, we experimentally investigate the case of a jet of grains entering from the air into a water bath. After an initial transient state, a stationary impregnation front appears between the dry and the wet grains. The wet grains are then dispersed in the liquid. To describe this dry-to-wet transition, we focus on the first step of the process, when the liquid invades the dense granular medium. In this regime, the granular jet is modelled as a translating porous material, and we systematically characterize the impregnation process using a combination of experiments, analytical modelling, and numerical tools. We then compare this process to the situation of a confined granular jet entering a water bath. Our approach is a first step toward describing the interplay between dry grains and a liquid and the resulting dispersion of particles.

Information

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1.Time series of a free semi-2D granular jet penetrating into a water bath. Particles are spherical glass beads of diameter $d_g=1050\pm 250\ \mathrm {\mu }\textrm {m}$. The jet of width 5 cm is confined between two polymethyl methacrylate (PMMA) plates (at the front and the rear). Each picture is separated from the next by 0.25 s. Scale bar is 2 mm.

Figure 1

Figure 2.(a) Photo of the porous medium made of grains (system W3). The front and rear are made of PMMA, and the sides and bottom of the cell consist of a metal wire mesh with openings of 250 $\mathrm {\mu }$m. (b) Schematic of the experimental set-up. A vertical linear motor imposes the speed of translation $V_0$. (c) Picture of the stationary impregnation front during the translation of the porous medium into the water bath. The system is illuminated by an LED panel placed behind the cell. The light part is fully saturated with water whereas the dark part is dry.

Figure 2

Table 1.Physical properties of the grains composing the model porous media.

Figure 3

Figure 3.Time series during the transient phase of a porous medium of width $W=10$ cm composed of the system W2 plunging into water at a speed $V_0 = 30$ mm s$^{-1}$.

Figure 4

Figure 4.(a) Evolution of the impregnation front during the transient regime. The data are extracted from the experiment shown in figure 3. The air–water interface is located at $z=0$. (b) Evolution of the maximum length of air $\ell _{dry}(t)$ entrained under the liquid surface. The red circles correspond to the position of the bottom of the porous medium, which is translated at a constant velocity V0 under the surface.

Figure 5

Figure 5.Rescaled length of air entrained under the free surface, $\ell _{dry}/h_{dry}$, as a function of the dimensionless time $t/\tau$. The figure summarizes the results of 30 sets of parameters varying the size of the grains, the width of the cell $W$ and the plunging speeds $V_0$. Experiments with beads of systems W1, W2 and W3 are plotted in blue, red and green, respectively. The red dashed line is the empirical fit given by (3.1).

Figure 6

Figure 6.Schematic of the impregnation of a 1D porous medium plunging in water at a constant velocity $V_0$ along the $z$-axis. The total length of the porous medium immersed in water is denoted by $\ell _0$, while $\ell _{dry}$ and $\ell _{wet}$ respectively correspond to the dry and wet length under the surface.

Figure 7

Figure 7.(a) Evolution of $L_{wet}$ as a function of $T$ given by the numerical resolution of (3.7) for different values of $V_0/V^\star$. The slope gives the value of $V_{wet}/V^\star$. (b) Evolution of the constant impregnation velocity $V_{wet}/V^\star$ as a function of the dimensionless plunging speed $V_0/V^\star$ fitted from the curves in (a). The dashed line corresponds to the solution (3.10).

Figure 8

Figure 8.Front velocity $V_f/V^\star$ as a function of the plunging speed $V_0/V^\star$ for different experimental systems and cell widths. The dashed line is obtained from (3.10).

Figure 9

Figure 9.(a) Picture of a stationary impregnation front obtained with the system W2, a cell of width $W = 10$ cm and a plunging speed $V_0 = 60$ mm s$^{-1}$. (b) Impregnation profile $z(x)$ extracted from the experiment shown in (a). The red dashed line corresponds to the parabola fitting the centre of the profile. (c) Close-up view of the bottom of the impregnation profile. The radius of curvature $R_c$ is evaluated by fitting the profile with a parabola.

Figure 10

Figure 10.Evolution of (a) the slope $\tan \theta$ and (b) the dimensionless radius of curvature $R_c/W$ of the stationary impregnation profile as a function of the dimensionless plunging speed $V_0/V^\star$ for several systems of wetting porous materials with different widths $W$. The dotted line in each figure shows the best-fitting power law.

Figure 11

Figure 11.Evolution of the slope $\tan \theta$ of the stationary profile of impregnation as a function of the dimensionless plunging speed $V_0/V^\star$ for two systems of non-wetting porous media (systems N1 and N2 of contact angle $\theta _c \simeq 75^\circ$) and a cell of width $W=5$ cm. (b) Evolution of the lateral entrance depth $h_0-h_0^{\star }$ as a function of the plunging speed $V_0$ for the systems N1 and N2. The dotted lines show the best-fitting power laws.

Figure 12

Figure 12.Profiles of the impregnation front for different experimental configurations: (a) system W1 and $W = 5 \ \mbox {cm}$, (b) system W2 and $W = 10 \ \mbox {cm}$, (c) system W3 and $W = 20 \ \mbox {cm}$. The red dashed lines show the theoretical predictions given by (5.7).

Figure 13

Figure 13.(a) Schematics of the numerical model of the stationary regime and the associated notation. (b) Examples of streamlines (left side) and velocity field (right side) observed in the stationary regime of impregnation for a non-wetting porous material ($p_c = 0$) and $V_0/V^\star =9.7$.

Figure 14

Figure 14.(a) Evolution of $\tan \theta$ of the stationary profile of impregnation obtained numerically as a function of the dimensionless plunging speed $V_0/V^\star$ for $p_c = 0$. (b) Evolution of the rescaled radius of curvature $R_c/W$ measured at the centre of the profile as a function of the dimensionless plunging speed $V_0/V^\star$. In both panels, the numerical results are reported in black ($\blacksquare$) and the best fit is plotted in dashed lines. Numerical simulations are carried out with a mesh of width $N_x = 100$ and length varying between $N_z = 600$ and $N_z = 1300$ depending on the aspect ratio $H/W$ of the impregnation front. In each case, preliminary tests are performed to ensure that the domain is large enough not to influence the front velocity.

Figure 15

Figure 15.Streamlines (left) and amplitude of the velocity field (right) for two stationary impregnation fronts determined numerically for a non-wetting porous material ($p_c = 0$) and a dimensionless plunging velocity (a) $V_0/V^\star = 0.65$ and (b) $V_0/V^\star = 49.6$.

Figure 16

Figure 16.(a) Streamlines and velocity field obtained numerically for the stationary impregnation front for a wetting porous material, $\tilde {p}_c = 1$ and $V_0/V^\star = 44.4$. (b) Evolution of the slope $\tan \theta$ measured on the numerical stationary profiles as a function of the imposed dimensionless velocity $V_0/V^\star$ for $\tilde {p}_c = 1$. The dotted line is the best fit of the numerical data ($\bullet$) by a power law of exponent 0.66.

Figure 17

Figure 17.(a) Schematic illustration of the physical origin of the impregnation depth $h_0$. The length $h_0^\star$ represents the hydrostatic forcing depth required to get the non-wetting grains wet ($\theta > \theta ^\star = 55^\circ$). The arrangement of grains on the metal grid is modelled by a thin layer of thickness $\delta$ with a lower permeability $k_g$. (b) Evolution of the impregnation depth $h_0-h_0^\star$ as a function of the plunging speed $V_0$ for grains of diameters 280–420 $\mathrm {\mu }$m (system N2) and different grid openings. (c) Evolution of the rescaled impregnation depth $d_{eff}(h_0-h_0^\star )/{d_g}^2$ for different grain sizes (systems N1 and N2) and different grid openings. The dashed line shows the prediction given by (7.6).

Figure 18

Figure 18.(a) Schematic of a granular jet entering water, confined by a lateral wire mesh of aperture 250 $\mathrm {\mu }$m. (b) Steady state of the confined granular jet of beads of diameter 400–460 $\mathrm {\mu }$m. Scale bar is 2 cm. (c) 1D model of the confined jet, assuming that the motion of the grains and of the liquid is only vertical, and three different zones form on top of each other: dense dry grains, dense wet grains and grains dispersed in water.

Figure 19

Figure 19.(a) Evolution of the mean slope $\tan \theta$ of the stationary front as a function of the dimensionless velocity $V_0/V^\star$ (red symbols). The experiments performed with the model porous media are also reported. (b) Evolution of the mean radius of curvature at the tip of the steady profile $R_c/W$ as function of the normalized flow velocity $V_0/V^\star$ (red symbols). The open symbols are the same as in figure 10.

Figure 20

Figure 20.Steady morphologies of the confined jets for wetting grains of increasing diameter: (a) system W1, (b) system W2 and (c) system W3. Scale bar is 2 cm. A typical experiment (system W1) can be viewed in the supplementary movie available at https://doi.org/10.1017/jfm.2021.131.

Figure 21

Figure 21.(a) Example of distribution of the glass bead diameters obtained with the system W1. A Gaussian fit is plotted by the red line. Here the size of the grains is $d_g=340 \pm 40 \ \mathrm {\mu } \textrm {m}$. (b) Evolution of the porosity $\varepsilon$ of the granular packing during compaction (system W3). The porosity after compaction is $\varepsilon =0.38$ (horizontal dashed line).

Figure 22

Figure 22.Picture of a glass bead from the system N1 trapped at the surface of a pending drop of water, and zoom on the water–air–bead interface. The measured contact angle is $\theta _c=72^\circ$.

Figure 23

Figure 23.(a) Picture of the $U$-shaped tube filled with glass beads over a length $L$. (b) Exponential decrease of the difference of altitude ${\rm \Delta} z$ as function of time for different systems of glass beads.

Figure 24

Figure 24.Evolution of the pressure gradient as a function of the Darcy velocity for several size distributions and large Reynolds numbers.

Figure 25

Figure 25.(a) Picture of the experimental set-up used to characterized the horizontal 1D impregnation in a porous medium. The grains are packed into an L-shaped tube closed by a metal wire mesh of opening size $250 \ \mathrm {\mu }\mbox {m}$. The experimental system is vertically plunged into the water bath at a constant speed $V_0$, and the impregnation front is visualized by the contrast of light transmission between the wet part (light) and the dry part (darker). (b) Time series of the front propagation in the granular packing (system W3) translated at a velocity $V_0 = 60 \ \mbox {mm} \ \mbox {s}^{-1}$. Scale bars are 1 cm.

Figure 26

Figure 26.(a) Impregnation profiles for the experiments in the 1D geometry shown in figure 25 and the system W3. The profiles are plotted by superimposing the successive positions of the front at each time as illustrated in figure 25(b). The theoretical prediction given by (5.6) is plotted with black dashed lines, whereas the prediction of (C3) is plotted with red dashed lines. (b) Evolution of the dimensionless horizontal speed of impregnation in the linear regime as a function of the dimensionless plunging speed $V_0/V^\star$. The dashed line is the best-fitting power law.

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