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On the maximal spreading of impacting compound drops

Published online by Cambridge University Press:  12 September 2018

H.-R. Liu
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China
C.-Y. Zhang
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China
P. Gao
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, ChinaState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China
X.-Y. Lu
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, China
H. Ding*
Affiliation:
Department of Modern Mechanics, University of Science and Technology of China, Hefei 230027, ChinaState Key Laboratory of Fire Science, University of Science and Technology of China, Hefei 230027, China
*
†Email address for correspondence: hding@ustc.edu.cn

Abstract

We numerically study the impact of a compound drop on a hydrophobic substrate using a ternary-fluid diffuse-interface method, aiming to understand how the presence of the inner droplet affects the spreading dynamics and maximal spreading of the compound drop. First, it is interesting to see that the numerical results for an impacting pure drop agree well with the universal rescaling of maximal spreading ratio proposed by Lee et al. (J. Fluid Mech., vol. 786, 2016, R4). Second, two flow regimes have been identified for an impacting compound drop: namely jammed spreading and joint rim formation. The maximal spreading ratio of the compound drop is found to depend on the volume fraction of the inner droplet $\unicode[STIX]{x1D6FC}$, the surface tension ratio $\unicode[STIX]{x1D6FE}$, the Weber number and the flow regime. Moreover, we propose a universal rescaling of maximal spreading ratio for compound drops, by integrating the one for pure drops with a corrected Weber number that takes $\unicode[STIX]{x1D6FC}$, $\unicode[STIX]{x1D6FE}$ and the flow regime into account. The predictions of the universal rescaling are in good agreement with the numerical results for impacting compound drops.

Information

Type
JFM Rapids
Copyright
© 2018 Cambridge University Press 
Figure 0

Figure 1.A compound drop impacts onto a horizontal wall at a vertical velocity $V$. Initially, the surrounding gas is still, and the diameters of the outer phase (liquid 1) and inner phase (liquid 2) of the compound drop are $D_{0}$ and $d_{0}$, respectively.

Figure 1

Figure 2.Snapshots of an impacting compound drop at $\unicode[STIX]{x1D6FE}=1$, $We=50$ and various volume fractions: $\unicode[STIX]{x1D6FC}=0$ (a), 0.216 (b), 0.450 (c) and 0.729 (d). The columns from left to right correspond to different times: $t=0.25$, 0.75, $t_{max}$ and $t_{max}+1.0$, respectively. Here, $t_{max}$ denotes the time at the maximal spreading of the compound drop. The reference velocity vectors are provided in (a); note that the same one is used in each column.

Figure 2

Figure 3.Snapshots of impacting compound drops at the maximal spreading with $\unicode[STIX]{x1D6FC}=0.512$, $We=50$ and various $\unicode[STIX]{x1D6FE}$, with respect to visualization particles (left) and pressure contours (right). In particular, (a) $\unicode[STIX]{x1D6FE}=4$ and $t=0.86$, (b) $\unicode[STIX]{x1D6FE}=1$ and $t=0.92$, and (c) $\unicode[STIX]{x1D6FE}=0.25$ and $t=1.32$. In (a), the upper-left corner shows the initial position of the visualization particles.

Figure 3

Figure 4.Maximal spreading ratio $\unicode[STIX]{x1D6FD}_{max}$ as a function of $We$ with: (a) a fixed $\unicode[STIX]{x1D6FE}$ ($=2$) and varied $\unicode[STIX]{x1D6FC}$, and (b) a fixed $\unicode[STIX]{x1D6FC}$ ($=0.512$) and varied $\unicode[STIX]{x1D6FE}$. The filled symbols denote the cases in the regime of joint rim formation, while the open symbols denote the cases in the regime of jammed spreading. The solid curves represent the universal rescaling of drop impacting in (1.1) (Lee et al.2016).

Figure 4

Figure 5.Numerical results of maximal spreading for impacting compound drops at $We=50$ (a) and $We=500$ (b), for various $\unicode[STIX]{x1D6FE}$: 0.25 (○), 0.5 (▵), 1 (▫), 2 (▹) and 10 (♢). The variation of $t_{max}$ with $\unicode[STIX]{x1D6FC}$ is shown in the corresponding inset. The filled symbols denote the regime of joint rim formation, and the open symbols denote the regime of jammed spreading. The theoretical predictions of $\unicode[STIX]{x1D6FD}_{\unicode[STIX]{x1D6FC}\rightarrow 0}$ and $\unicode[STIX]{x1D6FD}_{\unicode[STIX]{x1D6FC}\rightarrow 1}$ are represented by the symbols $\times$ and *, respectively. The lines serve as a guide to the eyes.

Figure 5

Figure 6.Numerical results of $\unicode[STIX]{x1D6FC}_{c}$ for different $\unicode[STIX]{x1D6FE}$ and $We$. The curve represents the data fitting by (3.1).

Figure 6

Figure 7.Universal rescaling of maximal spreading ratio of an impacting compound drop as a function of $We^{\ast }$. These cases are the same as in figure 4, including pure drops (○), those with fixed $\unicode[STIX]{x1D6FE}=2$ and various $\unicode[STIX]{x1D6FC}$ ($=0.064$ (▵), 0.216 (▫), 0.343 (▹), 0.512 (♢) and 0.729 (◃)), and those with fixed $\unicode[STIX]{x1D6FC}$ ($=0.512$) and various $\unicode[STIX]{x1D6FE}$ ($=0.25$ (▴), 0.5 (▪), 1 (▸), 4 (♦) and 10 (◂)). The solid curve represents the relation (1.1) with $We^{\ast }$ as the variable.