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Jetting in finite-amplitude, free, capillary-gravity waves

Published online by Cambridge University Press:  17 December 2020

Saswata Basak
Affiliation:
Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India
Palas Kumar Farsoiya
Affiliation:
Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India
Ratul Dasgupta*
Affiliation:
Department of Chemical Engineering, Indian Institute of Technology Bombay, Powai, Mumbai 400 076, India
*
†Email address for correspondence: dasgupta.ratul@iitb.ac.in

Abstract

We present a theoretical and computational study of the mechanics of a jet formed from a large amplitude, axisymmetric, capillary-gravity wave on the surface of a liquid pool in a cylindrical container. Jetting can cause a pronounced overshoot of the interface at the axis of symmetry. A linear theory presented earlier in Farsoiya et al. (J. Fluid Mech., vol. 826, 2017, pp. 797–818) was shown to be incapable of describing this jet. To understand its mechanics, we present here the inviscid, weakly nonlinear solution to the initial value problem where the initial surface perturbation is a single Fourier–Bessel mode on quiescent fluid. The theory predicts that energy injected into a primary (Bessel) mode initially is transferred nonlinearly to a spectrum of modes. The extent of the theoretically predicted energy transfer is found to be very accurate for modes up to the second harmonic. We show using numerical simulations that the jet originates as a small dimple formed at the trough of the wave, analogous to similar observations in bubble cavity collapse (Duchemin et al., Phys. Fluids, vol. 14, 2002, pp. 3000–3008; Lai et al., Phys. Rev. Lett. vol. 121, 2018, 144501). The theory is able to describe the jet overshoot and the velocity and pressure fields in the liquid qualitatively, but does not capture the temporal evolution of the dimple or the thinning of the jet neck leading to pinchoff. Modal analysis shows that the latter phenomenon requires higher-order approximations, beyond the second order presented here. The nonlinear theory yields explicit analytical expressions without any fitting parameters which are systematically tested against numerical simulations of the incompressible Euler equation. The theory contains cylindrical analogues of the singularities corresponding to second harmonic resonance (Wilton, Lond. Edinb. Dubl. Phil. Mag. J. Sci., vol. 29, 1915, pp. 688–700). The connection of these to triadic resonant interactions among capillary-gravity waves in a cylindrical confined geometry is discussed.

Information

Type
JFM Papers
Copyright
© The Author(s), 2020. Published by Cambridge University Press
Figure 0

Figure 1.(a) Initial condition: the black line depicts cross-section of the perturbed interface at $\hat {t}=0$. The interface initially is $\hat {\eta }(\hat {r},0) = a_0{\textrm{J}}_0(k\hat {r})$ where ${\textrm{J}}_0$ is the zeroth-order Bessel function of the first kind, $k$ is the wavenumber, $a_0$ is the perturbation amplitude and $\hat {r}$ is the radial coordinate. The liquid (in grey) is quiescent initially. (b) The effect of changing the wave steepness parameter $\epsilon \equiv a_0k$ on the initial perturbation. Here $\epsilon$ is a non-dimensional measure of the maximum slope of the initial perturbation. A wave with $\epsilon \ll 1$ has an amplitude much smaller than its wavelength and can be described by linear theory. Jets form at the axis of symmetry for moderate to high values of $\epsilon$ (${>}0.5$ typically) and are nonlinear phenomena. We use $\epsilon$ as a small parameter in our perturbative expansion.

Figure 1

Figure 2.Results from numerical simulations: temporal evolution of the interface for (a) $\epsilon =0.5$, (b) $\epsilon =1.2$ and (c) $\epsilon =1.7$. (a) A dimple appearing at the base of the wave trough is a nonlinear event and signals impending jetting. This is seen more clearly in panels (b,c) where $\epsilon$ is chosen to be larger and produces a jet which overshoots the initial perturbation at $\hat {r}=0$ and also ejects a drop in panel (c); note the slender jet. (a) Dimple formation with time for $\epsilon =0.5$. (b) Pronounced dimple, jet formation and overshoot at $\hat {r}=0$ for $\epsilon =1.2$. (c) Pronounced dimple, slender jet, overshoot, drop ejection for $\epsilon =1.7$.

Figure 2

Table 1.The literature covering various jetting scenarios.

Figure 3

Figure 3.Three-dimensional visualisation of surface perturbation (grey). Surface perturbation imposed at $\hat {t}=0$ leads to a jet at the end of one oscillation for sufficiently large $\epsilon$. The coordinate system is centred at the axis of symmetry and $\hat {z}$ is measured from the unperturbed free surface.

Figure 4

Figure 4.Here, $\zeta _1^{(k)},\zeta _2^{(k)},\zeta _3^{(k)}$ and $\xi _1^{(k)},\xi _2^{(k)}$ for $q=5$ as a function of $k$. After $k=12$, the values are quite small permitting truncation of the infinite series in (2.36) and (2.37).

Figure 5

Figure 5.Initial condition.

Figure 6

Table 2.Boundary conditions.

Figure 7

Table 3.Simulation parameters in the centimetre–gram–second system of units. Grid (a) $1024\times 1024$; grid (b) $2048\times 2048$.

Figure 8

Figure 6.Motion of the interface at $r=0$ with time $t$: (a) $\epsilon = 0.2 \ll 1$, no jetting in linear regime; (b) at moderately large $\epsilon =0.5$ interface shows dimple formation, see insets depicting instantaneous interface shape ($\eta /\epsilon$ versus $r$) at the data point indicated by arrow. Weakly nonlinear model captures the onset of dimple at $t \approx 1.228$ but does not describe it well later at $t\approx 3.133$ when it narrows and sharpens. Pronounced dimple and a clear overshoot (above unity) is observed in panel (c) for $\epsilon =1.2$. (d) For $\epsilon =1.7$, a slender jet with large overshoot and droplet ejection at the tip. While weakly nonlinear theory captures the qualitative features, linear theory is unable to describe any of these.

Figure 9

Figure 7.(a–h) Comparison of the (non-dimensional) interface shape $\eta /\epsilon$ versus radius $r$ at various (non-dimensional) time instants for $\epsilon = 0.5$: (a) $t=0$; (b) $t=1.228$; (c) $t=1.658$; (d) $t=3.133$; (e) $t=3.378$; (\,f) $t=3.685$; (g) $t=4.177$; (h) $t=4.607$. Simulation profiles (—, black), linear theory ($\square$, red) and weakly nonlinear theory ($\bullet$, blue). Dimple formation initiates in panel (b), is suppressed as the trough reaches its lowest point and reappears with significant shortening in scale as seen in inset of panel (d). Weakly nonlinear model qualitatively and significantly improves over the linearised model in this regime. For parameters, see case $1$ in table 3, grid (a).

Figure 10

Figure 8.(a–h) Comparison of the (non-dimensional) interface shape $\eta /\epsilon$ versus radius $r$ at various (non-dimensional) time instants for $\epsilon = 1.2$: (a) $t=0$; (b) $t=1.228$ s; (c) $t=1.658$; (d) $t=3.071$; (e) $t=3.378$; (\,f) $t=3.685$; (g) $t=4.177$; (h) $t=4.607$. Simulation profiles (—, black) are compared with linear ($\square$, red) and weakly nonlinear predictions ($\bullet$, blue). Dimple initiation is well captured by the nonlinear theory in panel (c) but not later on in panel (d) where the dimple becomes sharper and more pronounced, see inset. The thinning of the neck of the jet is not captured by the nonlinear model in panel (e). Near maximum overshoot, the jet shape near $r=0$ is well described by theory, see panel (\,f,g). For parameters see case $5$ in table 3, grid (b).

Figure 11

Figure 9.Comparison of (non-dimensional) vertical component of velocity $u_z$ at the axis of symmetry ($r=0$) for $\epsilon =0.5$ at two time instants: (a) $\epsilon = 0.5$, $t=3.133$; (b) $\epsilon = 0.5$, $t=4.177$. Insets show the instantaneous interface shapes. (a) Vertical velocity profile when a pronounced dimple forms at the bottom of the trough. (b) Velocity profile around the time instant when the interface is at its maximum height. Note the qualitatively good agreement between the weakly nonlinear model and simulations in both cases, although the kinks in the profile are not captured by the nonlinear model. For parameters, see case $1$ in table 3, grid (a).

Figure 12

Figure 10.Left panels: (non-dimensional) pressure profiles $P(r,z,t)$ at the axis of symmetry $r=0$ at various time instants for $\epsilon =0.5$. Right panels: pressure contours from numerical simulations. The dashed line on the contour plots represents the depth of the unperturbed liquid at $t=0$. The insets depict the instantaneous interface shape. As the weakly nonlinear theory has been derived using a Taylor series expansion about the unperturbed state for the liquid side only, we plot data at most up to the (scaled) unperturbed depth ($z=9.6154$). For parameters, see case $1$ in table 3, grid (a). (a) Time $t=1.228$; pressure profiles (left) and contours (right) at the onset of dimple formation. (b) Time $t=3.133$; pressure profiles and contours with a sharper and narrower dimple. (c) Time $t=4.177$; pressure profiles and contours when the jet is close to its maximum height.

Figure 13

Figure 11.The interface shape when the jet is at its maximum height towards the end of one oscillation, for various values of $\epsilon$: (a) $\epsilon = 1.0, t=4.177$; (b) $\epsilon = 1.1, t=4.115$; (c) $\epsilon = 1.2, t=4.177$; (d) $\epsilon = 1.3, t=4.177$; (e) $\epsilon = 1.4, t=4.3$. Overshoot occurs when the scaled interface $\eta (r,t)/\epsilon$ exceeds unity and is always observed at $r=0$, the axis of symmetry. In the above figures, we show only the $\epsilon$ range where a sizeable overshoot (ranging from 7 %–51 %) is observed. Note that weakly nonlinear theory (blue dots) captures the interface shape and the maximum height quite well for all the cases seen here. For parameters see: (a) case $3$, (b) case $4$, (c) case $5$, (d) case $6$ and (e) case $7$ in table 3, grid (a) for all cases here. The percentage values for overshoot reported in each panel is calculated from data obtained from numerical simulations.

Figure 14

Figure 12.We define $\hat {a}_{{max}} \equiv \hat {\eta }(0,t_{{max}})$ where $t_{{max}}$ is the instant when the jet reaches it maximum height. (a) Variation of ${\hat {a}_{{max}}}/{a_0}$ with $\epsilon$ for various values of $\sigma$ (see legend), from numerical simulations. For moderate to large values of $\epsilon$, the inset shows an approximate data collapse using the empirical relation ${\hat {a}_{{max}}}/{a_0} = 1 + A(\sigma )\exp [B(\sigma )\epsilon ]$. Note that $A(\sigma ) \ll 1$ which ensures that ${\hat {a}_{{max}}}/{a_0}\approx 1$ as $\epsilon \rightarrow 0$.

Figure 15

Figure 13.(a) Comparison of the variation of overshoot given by $({\hat {a}_{{max}}}/{a_0})$ with $\epsilon$ for $\sigma =1.086$, $A(\sigma ) =1.562\times 10^{-4}$ and $B(\sigma ) =5.8864$. It is seen that the weakly nonlinear theory (blue symbols) follows the qualitative trend seen in numerical simulations (black symbols). The solid (pink) line is ${\hat {a}_{{max}}}/{a_0} = 1 + A(\sigma )\exp [B(\sigma )\epsilon ]$ where the values of $A$ and $B$ are provided in the captions. (b) Simulation data. The curve is obtained from simulations and separates points where ${>}10\,\%$ overshoot is observed from those with ${<}10\,\%$ overshoot. It is clear from this curve that a higher value of $\epsilon$ is needed for jetting as surface tension is made stronger relative to gravity.

Figure 16

Figure 14.(a) Temporal variation of the ratio of instantaneous potential energy ($\text {surface energy}+\text {gravitational energy}$) $\mathcal {E}_{{pot}}$ to the initial potential energy $\mathcal {E}_{{pot}0}$ (see text below for definition of $\mathcal {E}$) with time $t$. The potential energy of the weakly nonlinear model (panel a) shows very good agreement with numerical simulations (inset shows when pronounced dimple forms). (b) Variation of total energy ($\mathcal {E}_{{tot}}/\mathcal {E}_{{tot}0}$) with time. The linearised approximation (dashed red line) is constant. The total energy of the weakly nonlinear solution (solid blue line) fluctuates in time (up to a maximum of ${<}4\,\%$) due to truncation of $O(\epsilon ^3)$ terms. The increase in total energy at $t > 3.133$ is mainly due to overestimation of the velocity near the interface which causes an overestimation of the total kinetic energy (see figure 9).

Figure 17

Figure 15.(a) Here $\hat {H}(l_j;\hat {t}_0)$ versus $j$ ($\epsilon =0.5$) at dimple inception, $\hat {t}_0=0.02$ s, see inset for interface. At this instant, the dimple is captured by theory as significant energy transfer has occurred up to $j=10$ only. (b) Time $\hat {t}_0=0.051$ s. Dimple is sharper and narrower with significant surface energy in modes $>j=10$ also, which is not captured by the $O(\epsilon ^2)$ theory (c) Time $\hat {t}_0=0.051$ s. Interface shape obtained from (5.2) with $\hat {H}(l_j;0.051)$ obtained from simulations up to $j=10$ (pink symbols) and $j=20$ (blue symbols) while the remaining are from theory (2.36).

Figure 18

Figure 16.(a) Here $\hat {H}(l_j;\hat {t}_0)$ versus $j$ at first dimple formation ($\epsilon =1.2$), $\hat {t}_0=0.02$ s. (a) Significant energy transfer has occurred only up to modes $\leq j=10$. (b) A pronounced dimple with significant potential energy in modes $>j=10$, $\hat {t}_0=0.05$ s.

Figure 19

Figure 17.Here $\hat {H}(l_j;\hat {t}_0)$ versus $j$ when the jet is at its maximum height: (a) $\epsilon =1.2$; (b) $\epsilon =1.3$. As seen from the jet shape in the insets, the nonlinear model estimates the maximum height of the jet well but not the ‘shoulder’ of the jet, instead developing a broader base. It is concluded that in order to predict maximum height, one needs to estimate potential energy in modes up to $j=10$ only which the theory does well. However, for resolving the jet ‘shoulder’, one has to estimate the potential energy in modes $>j=10$ accurately which the $O(\epsilon ^2)$ theory cannot capture. Here $\hat {t}_0=0.067$ s.

Figure 20

Table 4.Strengths and weaknesses of the $O(\epsilon ^2)$ solution to the IVP.

Figure 21

Figure 18.Critical values $\sigma _c^{(k)}$ for various choices of the primary mode $q$. In this study we have chosen $\sigma =1.086$ (dotted red line) which is far from the two neighbouring critical values of sigma, indicated by red dots for $q=5$.

Basak et al. supplementary movie

Jet in a cylindrical pool: three dimensional visualisation of an axisymmetric simulation for large initial wave steepness (ϵ).

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Supplementary material: PDF

Basak et al. supplementary material

Supplementary Material - Jetting in finite-amplitude, free, capillary-gravity waves

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