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Velocity field and cavity dynamics in drop impact experiments

Published online by Cambridge University Press:  28 April 2023

V. Lherm*
Affiliation:
Department of Earth and Environmental Sciences, University of Rochester, 227 Hutchison Hall, Rochester, NY 14627, USAUniv. Lyon, ENSL, UCBL, UJM, CNRS, LGL-TPE, F-69007 Lyon, France
R. Deguen
Affiliation:
Univ. Grenoble Alpes, Univ. Savoie Mont Blanc, CNRS, IRD, Univ. Gustave Eiffel, ISTerre, 38000 Grenoble, France
*
†Email address for correspondence: vlherm@ur.rochester.edu

Abstract

Drop impact experiments allow the modelling of a wide variety of natural processes, from raindrop impacts to planetary impact craters. In particular, interpreting the consequences of planetary impacts requires an accurate description of the flow associated with the cratering process. In our experiments, we release a liquid drop above a deep liquid pool to investigate simultaneously the dynamics of the cavity and the velocity field produced around the air–liquid interface. Using particle image velocimetry, we analyse quantitatively the velocity field using a shifted Legendre polynomial decomposition. We show that the velocity field is more complex than considered in previous models, in relation to the non-hemispherical shape of the crater. In particular, the velocity field is dominated by degrees 0 and 1, with contributions from degree 2, and is independent of the Froude and the Weber numbers when these numbers are large enough. We then derive a semi-analytical model based on the Legendre polynomial expansion of an unsteady Bernoulli equation coupled with a kinematic boundary condition at the crater boundary. This model explains the experimental observations and can predict the time evolution of both the velocity field and the shape of the crater, including the initiation of the central jet.

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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), 2023. Published by Cambridge University Press
Figure 0

Figure 1.Schematic view of the drop impact experimental set-up.

Figure 1

Table 1.Dimensionless numbers used in the experiments (see (2.1a–c) for details).

Figure 2

Figure 2.Velocity field resulting from the PIV procedure, superposed on a corresponding experimental raw image. The solid lines correspond to the shape of the crater obtained from the shifted Legendre polynomial decomposition (2.2), for degrees $k=0$ (blue), $k=1$ (orange) and $k=2$ (green). The definitions of the Cartesian $(x,y,z)$ (black) and of the spherical $(r,\theta,\varphi )$ (red) coordinate systems are also represented.

Figure 3

Figure 3.Coefficients $R_0(t)/R_i$ (a), $R_1(t)/R_0$ (b) and $R_2(t)/R_0$ (c) as a function of time $\tilde {t}$. The circles and the solid lines correspond to the crater shape obtained respectively from the PIV procedure (case B, $Fr=444$) and a similar backlight experiment ($Fr=442$).

Figure 4

Figure 4.Coefficients $R_0(t)/R_i$ (a), $R_1(t)/R_0(t)$ (b) and $R_2(t)/R_0(t)$ (c) as a function of time normalised by the opening time scale of the crater $\tilde {t}/\tilde {t}_{max}$, in the four cases. Inset: maximum mean crater radius $R_{0_{max}}/R_i$ as a function of the Froude number $Fr$. For each case, the different types of markers correspond to different experiments.

Figure 5

Figure 5.Time evolution of the velocity $|\boldsymbol {u}|=(u_x^2+u_z^2)^{1/2}$ for case B. The vector field corresponds to the experimental velocity field, normalised by its maximum value in each snapshot. The solid green line corresponds to the crater boundary determined using the Legendre polynomial decomposition (2.2).

Figure 6

Figure 6.Time evolution of the vorticity $\omega _y=\partial u_x/\partial z-\partial u_z/\partial x$ for case B. The vector field corresponds to the experimental velocity field, normalised by its maximum value in each snapshot. The solid green line corresponds to the crater boundary determined using the Legendre polynomial decomposition (2.2).

Figure 7

Figure 7.Coefficients $u_{r,l}(r,t)$ and $u_{\theta,l}(r,t)$ normalised by the mean crater velocity $\dot {R}_0(t)$, as a function of the radial coordinate $r$, normalised by the mean crater radius $R_0(t)$, up to degree $l=5$. Dashed lines correspond to regions where the coefficients sample velocity artefacts located in the crater. The coefficients are calculated at $\tilde {t}=15.4$ ($\tilde {t}/\tilde {t}_{max}=0.43$) for case B.

Figure 8

Figure 8.Time evolution of the coefficient $u_{r,l}(r,t)$ ($l\in \{0,1,2\}$) normalised by the impact velocity $U_i$, as a function of the radial coordinate $r$ normalised by the drop radius $R_i$, for case B. Time is normalised by the opening time scale of the crater $\tilde {t}_{max}$.

Figure 9

Figure 9.Time evolution of the coefficient $u_{\theta,l}(r,t)$ ($l\in \{0,1,2\}$) normalised by the impact velocity $U_i$, as a function of the radial coordinate $r$ normalised by the drop radius $R_i$, for case B. Time is normalised by the opening time scale of the crater $\tilde {t}_{max}$.

Figure 10

Figure 10.Coefficients $u_{r,0}(r,t)$ (a), $u_{r,1}(r,t)$ (b), $u_{\theta,0}(r,t)$ (c) and $u_{\theta,1}(r,t)$ (d) normalised by the mean crater velocity $\dot {R}_0(t)$, as a function of the radial coordinate $r$, normalised by the mean crater radius $R_0(t)$. The circles correspond to case B at $\tilde {t}/\tilde {t}_{max}=0.24$. The dash-dotted lines correspond to the models of Engel (1967), Maxwell (1977), Leng (2001) and Bisighini et al. (2010). The solid line corresponds to the solution of the predictive model, using the simplified equation system (5.13) with the reference set of initial conditions (5.14).

Figure 11

Figure 11.Coefficients $\phi ^*_0$ (a), $\phi ^*_1$ (b), $\phi ^*_2$ (c), $R^*_0$ (d) and $R^*_1$ (e) as a function of time normalised by the opening time scale of the crater $\tilde {t}/\tilde {t}_{max}$, in the four cases. For each case, the different types of markers correspond to different experiments. The coloured solid lines give the solution of the general model, where the initial conditions are fitted on a single experiment of the corresponding case. The black solid lines give a solution to the simplified model, where the initial conditions are fitted simultaneously on all the experiments. The black dashed lines give a solution to the simplified model, where the initial conditions are modified by $\pm 25\,\%$ with respect to their reference value.

Figure 12

Figure 12.Radial (a,b) and polar (c,d) components of the velocity field from experimental data (a,c) and from the simplified model (b,d), in case B. The snapshots correspond to times when the crater is opening (i), when the crater is almost at its maximum size (ii) and when the crater is closing (iii). The solid green lines correspond to the experimental crater boundary.

Figure 13

Figure 13.Time evolution of the crater shape obtained in a backlight experiment similar to case B ($Fr=442$). The solid green lines correspond to the crater boundary obtained from the simplified model. The black arrows correspond to the experimental velocity field, normalised by its maximum value in each snapshot. The grey arrows correspond to the velocity field obtained from the simplified model, normalised by its maximum value in each snapshot.

Figure 14

Figure 14.Initial conditions (at $\tilde {t}=1$) of the Legendre polynomial models, for the coefficients $\phi ^*_0$ (a), $\phi ^*_1$ (b), $\phi ^*_2$ (c), $R^*_0$ (d) and $R^*_1$ (e), obtained using a joint least-squares inversion of the experimental coefficients over the entire time series. The coloured markers correspond to the general model, where initial conditions are obtained by fitting experiments individually. The black circles correspond to the simplified model, where initial conditions are obtained by fitting all the experiments simultaneously. Uncertainties correspond to $1-\sigma$ standard deviations on the parameters in the least-squares inversion.

Figure 15

Figure 15.Sensitivity of the simplified model to individual changes in the initial conditions. (a–e) Each row corresponds to the relative change $\delta X(1)=[X(1)-X_{ref}(1)]/X_{ref}(1)$ (in $\%$) of a single initial condition $X(1)=\{\phi ^*_0(1), \phi ^*_1(1), \phi ^*_2(1), R^*_0(1), R^*_1(1)\}$ with respect to the reference value $X_{ref}(1)$, defined in (5.14). Each column corresponds to the relative change $\delta X=(X-X_{ref})/\mathrm {r.m.s.}(X_{ref})$ (in $\%$) of the coefficient $X$ over the entire time series, for a given initial condition modification. The relative change $\delta X$ is defined as the absolute change in $X$, $X-X_{ref}$, scaled by the root mean square of the simplified model $\mathrm {r.m.s.}(X_{ref})$.