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Maximum drop radius and critical Weber number for splashing in the dynamical Leidenfrost regime

Published online by Cambridge University Press:  30 August 2016

Guillaume Riboux*
Affiliation:
Área de Mecánica de Fluidos, Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos, Universidad de Sevilla, Avenida de los Descubrimientos s/n 41092, Sevilla, Spain
José Manuel Gordillo
Affiliation:
Área de Mecánica de Fluidos, Departamento de Ingeniería Aeroespacial y Mecánica de Fluidos, Universidad de Sevilla, Avenida de los Descubrimientos s/n 41092, Sevilla, Spain
*
†Email address for correspondence: griboux@us.es

Abstract

At room temperature, when a drop impacts against a smooth solid surface at a velocity above the so-called critical velocity for splashing, the drop loses its integrity and fragments into tiny droplets violently ejected radially outwards. Below this critical velocity, the drop simply spreads over the substrate. Splashing is also reported to occur for solid substrate temperatures above the Leidenfrost temperature, $T_{L}$ , for which a vapour layer prevents the drop from touching the solid. In this case, the splashing morphology differs from the one reported at room temperature because, thanks to the presence of the gas layer, the shear stresses acting on the liquid can be neglected. Our purpose here is to predict, for wall temperatures above $T_{L}$ , the critical Weber number for splashing as well as the maximum spreading radius. First, making use of boundary integral simulations, we calculate both the time evolution of the liquid velocity as well as the height of the sheet which is ejected tangentially to the substrate. These results are then used as boundary conditions for the one-dimensional mass and momentum equations describing the dynamics of the rim limiting the expanding liquid sheet. Our predictions for both the maximum spreading radius and for the critical Weber number for splashing are in good agreement with experimental observations.

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Papers
Copyright
© 2016 Cambridge University Press 
Figure 0

Figure 1.(a) The sequence of images illustrate an ethanol drop of initial radius $R=1.03$  mm impacting against a dry smooth solid surface at room temperature with a velocity $V=1.69~\text{m}~\text{s}^{-1}$ – $\mathit{We}=\unicode[STIX]{x1D70C}V^{2}R/\unicode[STIX]{x1D70E}=100$ and $Re=\unicode[STIX]{x1D70C}VR/\unicode[STIX]{x1D707}=1360$ – at times $t\simeq 0$, $t=0.10$, $t=0.19$, $t=0.29$, $t=0.38$, $t=0.48$, $t=0.57$, $t=0.76$, $t=0.95$ with $t=TV/R$. The bright line represents the result of the boundary integral simulation, which is carried out using a number of nodes $N$ that increases dynamically in time ($N(T=0)=501$). Nodes are clustered in the regions with the highest curvature. The radius of the wetted area $A(T)/R=a(t)=\sqrt{3t}$ (Riboux & Gordillo 2014) is indicated. (b) The right column is a zoom in of the region where the lamella is ejected for different instants of time, namely, $t=0.016$, $0.049$, $0.082$, $0.164$, $0.246$, $0.328$ and $0.491$. For reference, the left column illustrates the numerical results for the same values of $t$. The absence of viscous shear stresses causes the rim to flow faster in the numerical simulations than in the experiments.

Figure 1

Figure 2.The potential flow numerical results start imposing the initial wetted radius, $a=\sin \unicode[STIX]{x1D703}_{0}\approx \unicode[STIX]{x03C0}/36$ with $\unicode[STIX]{x1D703}_{0}=5^{\circ }$. The inset (a) shows the re-gridding procedure used to stabilize the numerical simulation, consisting of placing nodes in between the nodes of the previous time step. The inset (b) is a zoom in of the region from which the lamella is ejected at three different instants of time: $t_{e}$, $t=0.15$ and $t=0.35$. The figure also illustrates the wetted radius $a(t)$ as well as the radial position of the rim, $r_{t}(t)$, and its velocity, $v_{t}(t)$. The inset also shows the definition of height of the lamella, $h(r,t)$, not to be confused with the width of the rim, $h_{t}(t)$.

Figure 2

Figure 3.(a) The figure shows the numerical results for both $a(t)$ and the radial position of the edge lamella $r_{t}(t)$ in the case of $\mathit{We}=100$. The vertical line indicates the ejection time predicted by (2.2) and the dashed line represents the predicted position of the rim, ejected from $r=\sqrt{3t_{e}}$ with an initial velocity $v_{t}(t_{e})=1/2\sqrt{3/t_{e}}$, with $t_{e}$ given in (2.2). (b) The ejection times predicted by the BIMs are such that $t_{e}\propto \mathit{We}^{-2/3}$, in agreement with (2.2).

Figure 3

Figure 4.(a) Comparison between the theoretical expression $v_{a}=2{\dot{a}}=\sqrt{3/t}$ deduced in RG14 and the numerical result. The good agreement between theory and experiments depicted in this figure is independent of the Weber number whenever $\mathit{We}\geqslant 100$. Two of the simulations shown are carried out using $N(T=0)=501$ whereas in the case marked with an asterisk [$^{\ast }$], $N(T=0)=1001$. (b) Comparison of the height of the lamella at $r=\sqrt{3t}$ predicted by the models in Eggers et al. (2010) [1] and Roisman (2009) [2] with the numerical result. (c) Comparison between the theoretical expression $h_{a}=h(a(t),t)=(\sqrt{12}/3\unicode[STIX]{x03C0})\,t^{3/2}$ deduced in RG14, valid for $t\ll 1$ and the numerical result. The vertical line indicates the instant at which we have set the transition between the result predicted by the potential flow theory and the fitting polynomial $P(t)$ in (2.4).

Figure 4

Figure 5.Comparison, for $\mathit{We}=100$, between the height of the lamella predicted by the model – ballistic equations (3.1a,b) subjected to the boundary conditions given in (2.3) – and the numerical result. The vertical line illustrates the radial position $r=a(t)=\sqrt{3t}$ for several instants of time as well as the height of the lamella at $r=\sqrt{3t}$, $h_{a}(t)=h(r=\sqrt{3t},t)$; $v_{a}$ is the liquid velocity at $r=a(t)=\sqrt{3t}$, namely $v_{a}=u(r=\sqrt{3t},t)$. (a) $t=0.19$, (b) $0.25$, (c) $0.32$, (d) $0.45$, (e) $0.55$, (f) $0.70$, (g) $0.90$ and (h) $t=1.10$.

Figure 5

Figure 6.(a) Radial position $r_{t}$, velocity $v_{t}$ and height $h_{t}$ of the edge of the lamella as function of the dimensionless time $t$ for $\mathit{We}=150$. The maximum spreading radius is reached when $r_{t\,max}=R_{max}/R\;\Longleftrightarrow \;v_{t}\approx 0$. (b) The predicted maximum spreading radius is of the form $R_{max}/R\propto \mathit{We}^{1/2}$ for $\mathit{We}\gtrsim 20$. The experiments in Tran et al. (2012) are plotted for comparison. Two different regimes are observed: for Weber numbers $\mathit{We}\lesssim 10$, capillary waves develop, distorting the initial shape of the drop, whereas for $\mathit{We}>10$, the impact is dominated by inertia. The black line represents the maximum spreading radius resulting from the self-consistent theory presented here.

Figure 6

Figure 7.(a) Ratio $t_{c}/t_{h}$ as function of $t$ for several values of the Weber number. The theory in RG15 predicts the disintegration of the toroidal rim when $0.075\leqslant t_{c}/t_{h}\leqslant 0.095$ (area coloured in blue). Therefore, the predicted critical Weber number is $\mathit{We}^{\ast }\simeq 50$. (b) For $\mathit{We}>\mathit{We}^{\ast }$, the rim breaks at $t_{b}\propto \mathit{We}^{-4/3}$. (c) The diameters and velocities of the droplets ejected for $\mathit{We}>\mathit{We}^{\ast }$ calculated numerically are approximated here as $d_{d}=h_{t}(t_{b})\propto \mathit{We}^{-4/3}$ and $v_{d}=v_{t}(t_{b})\propto \mathit{We}^{2/3}$ respectively.