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Computational modelling of Leidenfrost drops

Published online by Cambridge University Press:  07 February 2022

Indrajit Chakraborty*
Affiliation:
Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK
Mykyta V. Chubynsky*
Affiliation:
Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK
James E. Sprittles*
Affiliation:
Mathematics Institute, University of Warwick, Coventry CV4 7AL, UK

Abstract

The Leidenfrost effect, where a drop levitates on a vapour film above a hot solid, is simulated using an efficient computational model that captures the internal flow within the droplet, models the vapour flow in a lubrication framework and is capable of resolving the dynamics of the process. The initial focus is on quasi-static droplets and the associated geometry of the vapour film formed beneath the drop, where we are able to compare with experimental analyses and assess the range of validity of the theoretical model developed in Sobac et al. (Phys. Rev. E, vol. 103, 2021, 039901). The computational model also allows us to explore parameter space, varying both the drop size and viscosity of the liquid, with computational results in excellent agreement with the theoretical model for high-viscosity liquids. Interestingly, for large water drops, discrepancies between the computational model and experiments occur, and possible reasons for this observation are provided. Our predictions reveal features including a regime with a dimpleless bottom surface of the drop and a minimum in the vapour layer thickness as a function of the drop size. Finally, the capability to simulate dynamics is revealed by computations that predict and track the vapour ‘chimney’ instability for large drops.

Information

Type
JFM Papers
Creative Commons
Creative Common License - CCCreative Common License - BY
This is an Open Access article, distributed under the terms of the Creative Commons Attribution licence (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted re-use, distribution, and reproduction in any medium, provided the original work is properly cited.
Copyright
© The Author(s), 2022. Published by Cambridge University Press
Figure 0

Figure 1. Schematic of an axisymmetric Leidenfrost drop above an isothermal hot rigid flat surface at temperature $T_{w}$. (a) An initially spherical drop of radius $R_0$ placed on a vapour cushion at an initial height $h_{0}$ above a heated flat surface with cylindrical coordinates ($r,z,\theta$) shown, (b) shows an experimental image of a quasi-static Leidenfrost drop floating on a thin vapour film above a flat surface, taken from Quéré (2013) and (c) a sketch of a quasi-static Leidenfrost drop levitating on a vapour layer of thickness $h(r)$. Numerical solutions of the theoretical model by Sobac et al. (2014) (see § 2) are obtained by patching the solution for the upper surface of the drop to that for the lower surface bordering the lubrication vapour layer, at $r=R_{p}$. The image shows the maximum droplet radius $R_{max}$, the radius of the neck $R_{neck}$ and the height of the neck measured from the solid surface (minimum vapour film thickness) $h_{neck}$. The evaporation mass flux across the liquid–vapour interface is denoted by $j$.

Figure 1

Figure 2. Comparison of the computational (black line) and theoretical (yellow dashed line) equilibrium shapes of Leidenfrost drops at $T_{b}=100\,^{\circ }\mathrm {C}$ above a hot rigid surface at $T_{w}=300\,^{\circ }\mathrm {C}$ for (a) $\tilde {R}_{max}=0.26$, (b) $\tilde {R}_{max}=0.41$, (c) $\tilde {R}_{max}=2.69$ and (d) $\tilde {R}_{max}=3.72$. At $T_{m}=200\,^{\circ }\mathrm {C}$, the input parameters (Biance et al.2003) are $\rho _{v}=0.5\,\mathrm {kg}\,\mathrm {m}^{-3}$, $\mu _{v}=1.63\times 10^{-5}\,\mathrm {Pa}\,\mathrm {s}$, $k_{v}=0.032\,\mathrm {W}\,\mathrm {m}^{-1}\,\mathrm {K}^{-1}$ and the latent heat of evaporation $L=2.26\times 10^{6}\,\mathrm {J}\,\mathrm {kg}^{-1}$ at $T_{b}=100\,^{\circ }\mathrm {C}$ and thus the calculated value of evaporation number $E=6.259\times 10^{-7}$. Here, simulations are carried out for a higher-than-water dynamic liquid viscosity of $\mu _{l}=0.3\,\mathrm {Pa}\,\mathrm {s}$.

Figure 2

Figure 3. Comparison of the computational model with experiments for the geometry of the vapour layer underneath a Leidenfrost drop. (a) The vapour film thickness at the neck $h_{neck}$ vs the drop size $R_{max}$, (b) the difference in the vapour film thickness $\Delta h=h_{centre}-h_{neck}$ as a function of $R_{max}$ and (c) the neck radius $R_{neck}$ vs $R_{max}$, see figures 1 and 2. The solid line represents the results of our computational model for $T_{w}=300\,^{\circ }\mathrm {C}\ \mathrm {and} 370\,^{\circ }\mathrm {C}$ and $\mu _{l}=0.3\,\mathrm {Pa}\,\mathrm {s}$, compared with the symbols corresponding to the experimental data reported by Burton et al. (2012) for $T_{w}=245\,^{\circ }\mathrm {C}, 320\,^{\circ }\mathrm {C}\ \mathrm {and}\ 370^{\circ }\mathrm {C}$ (for water drops), the dashed-dot lines are the solutions of the theoretical model; the vertical dotted line denotes the computed critical value of $R_{max,DL-D}$ below which ‘dimpleless’ (DL) regime with a nearly spherical drop shape can be seen, with the ‘dimpled’ (D) regime for higher $R_{max}$. In addition, the experimental data of Biance et al. (2003) for $h_{neck}$ (filled circle symbols) at $T_{w}=300\,^{\circ }\mathrm {C}$ (for water) are plotted in (a).

Figure 3

Figure 4. The vapour film thickness at the centre $\tilde {h}_{centre}$ and at the neck $\tilde {h}_{neck}$ vs the drop size $\tilde {R}_{max}$ for $E=1.01\times 10^{-6}$ ($T_{w}=370\,^{\circ }\mathrm {C}$). The red and blue solid/dashed lines correspond to the results of the computational model for $\mu _{l,water}=0.00034\, \mathrm {Pa}\,\mathrm {s}$ (water) and $\mu _{l,high}=0.3\, \mathrm {Pa}\,\mathrm {s}$ (high viscosity), respectively, compared with the theoretical solution. Regimes marked on the plot correspond to (i) dimpleless quasi-spherical drops, (ii) dimpled quasi-spherical drops, (iii) dimpled puddles and (iv) chimney instabilities. The experimental data for $\tilde {h}_{centre}$ are obtained from the data for $\tilde {h}_{centre}-\tilde {h}_{neck}$ and $\tilde {h}_{neck}$ given by Burton et al. (2012).

Figure 4

Figure 5. (a) The film height at the centre of the vapour pocket $\tilde {h}_{centre}$, (b) the neck height of the vapour film $\tilde {h}_{neck}$ and (c) the neck radius $\tilde {R}_{neck}$ as a function of the drop size $\tilde {R}_{max}$ obtained from COMSOL simulations for $E=1.01\times 10^{-6}$ at the wall temperature $T_{w}=370\,^{\circ }{\rm C}$ and different liquid viscosities. The square symbols for $\tilde {h}_{neck}$ and $\tilde {R}_{neck}$ represent the experimental data (Burton et al.2012).

Figure 5

Figure 6. The steady equilibrium shape of a drop with initial radius $R_{0}=3.75\,\mathrm {mm}$ and the velocity field inside the drop including the velocity vectors of flow for (a) $\mu _{l}=0.3\,\mathrm {Pa}\,\mathrm {s}$, (b) $\mu _{l}=0.001\,\mathrm {Pa}\,\mathrm {s}$ and (c) $\mu _{l}=0.00034\,\mathrm {Pa}\,\mathrm {s}$ (water at $T_{b}=100\,^{\circ }\mathrm {C}$) and the fixed evaporation number $E=1.01\times 10^{-6}$ placed on a very hot surface at $T_{w}=370\,^{\circ }\mathrm {C}$. The colour denotes the corresponding velocity magnitude inside the drop. (d) The air film profiles for the cases presented in (ac).

Figure 6

Figure 7. Variation of $\tilde {h}_{centre}$ with the drop radius $\tilde {R}_{max}$ for $E=1.01\times 10^{-6}$ ($T_{w}=370\,^{\circ }\mathrm {C}$ for water) for small- and medium-sized drops. Different approaches are used: the theoretical (blue) and computational (red) approaches used in the rest of the paper, a similar theoretical approach assuming that the drop is a rigid sphere (Sobac et al.2021) (orange), the same approach with a different patching point (magenta) and, finally, an approach going beyond lubrication, as described in the text (turquoise). The short dashed lines denote a scaling exponent $-1/2$ obtained (in both limits) from the scaling laws derived in Celestini et al. (2012); the prefactor for large $R_{max}$ is known (Sobac et al.2021), while for small $R_{max}$ it is estimated based on the computational data.

Figure 7

Figure 8. Simulation of the chimney instability for a drop with an initial drop radius $R_0=6.45$ mm ($\tilde {R}_0=2.58$), which is above the threshold for the chimney instability (calculated using the theoretical model to be at $\approx \tilde {R}_0=2.56$). Here, $E=1.01\times 10^{-6}$ ($T_w=370\,^{\circ }\mathrm {C}$ for water) and viscosity $\mu =0.3\,\mathrm {mPa}\,\mathrm {s}$. (a) The evolution of the shape of the drop from an initially spherical drop, through to a puddle and then into a chimney instability and (b) the flow field with the colormap showing the velocity magnitude and the arrows indicating the direction of flow.