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Instability of sliding viscoplastic films

Published online by Cambridge University Press:  11 February 2021

Thomasina V. Ball*
Affiliation:
Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada
Neil J. Balmforth
Affiliation:
Department of Mathematics, University of British Columbia, Vancouver, BC V6T 1Z2, Canada
*
†Email address for correspondence: tvball@math.ubc.ca

Abstract

The stability of sliding spreading films of Herschel–Bulkley fluid is investigated theoretically, motivated by a dramatic fingering pattern observed experimentally and proposed theoretically to originate from an extensional flow instability of shear-thinning fluids. Considering the thin-film limit, we construct axisymmetric base states and then test their stability towards non-axisymmetric perturbations by numerically solving the initial-value problem. We complement the numerics with analytical solutions for early and late times. The stability analysis demonstrates that spreading thinning films are unstable. At late times, where the spreading of the base state becomes self-similar, non-axisymmetric patterns can develop strongly if the fluid has a yield stress or is sufficiently shear thinning.

Information

Type
JFM Papers
Copyright
© The Author(s), 2021. Published by Cambridge University Press
Figure 0

Figure 1.An experiment in which an aqueous suspension of Carbopol (with a density that is almost matched with water) is extruded from a vent onto a launch stage and then into a shallow bath of dyed water, as sketched in (a). The pump rate is $Q \simeq 10$ ml min$^{-1}$, the launch stage has diameter 5 cm and the water depth is approximately 3 mm; a Herschel–Bulkley fit to the Carbopol rheology provided by a rheometer is $(n,\tau _Y,K)=(0.41,8.0\ \mathrm {Pa},5.9\ \mathrm {Pa}\ \textrm {s}^n)$. Panels (b–e) show photographs (from above) at the times indicated (the spatial scale is indicated by the diameter of the launch stage). Note, the black circle in the images indicates the vent and the larger circle indicates the edge of the launch stage. In (f) we show snapshots of the outline of the Carbopol, equally spaced, ${\rm \Delta} t=6.7$ s, and coloured by time; the dashed circle identifies the launch stage and the inset shows the initial condition from which pumping commenced. In (g) we plot the light intensity transmitted through the dyed water along the cross-sections through each of the six fingers shown in (e). The light intensity corresponding to the water bath is shown by the grey bar. The variation of this intensity along the finger indicates the local depth of water below the finger, with a measurement close to $0.5$ suggesting very little water underneath the central parts of the fingers, and the lower values near the stage and flow front implying deeper underlying water.

Figure 1

Figure 2.Sample Newtonian solutions ($n=1$, $\textrm {Bi}=0$), showing snapshots of (a) $H(r,t)$ and (b) $U(r,t)$, and time series of (c) ${\bar {R}}(t)$ and (d) $H_{min}(t)=H({\bar {R}},t)$ for $H_0=0.5$, 1 and 2, with colour representing time (from green, grey or red to blue, respectively). The times of the snapshots are indicated in (c,d). The insets in (a,b) show the corresponding, true, steady solutions with a fixed outer radius given by that of the final solutions to the initial-value problem. The dots in the insets show (3.6a,b). Also included in (c,d) are the results for the solutions for power-law fluid shown in figure 3. The dots in (c) show the predictions in (3.7a,b) and (3.10); in (d), the dots show $4t^{-1}$ and $0.8t^{-0.4}$.

Figure 2

Figure 3.Solutions for power-law fluid ($n=0.4$, $\textrm {Bi}=0$), showing snapshots of (a) $H(r,t)$ and (b) $U(r,t)$, for $H_0=1$, $1.5$ and 2, with colour representing time (from green, grey or red to blue, respectively). The time series of ${\bar {R}}(t)$ for these solutions is included in figure 2(c), as well as the times of the snapshots. The insets show the corresponding, true, steady solutions with a fixed outer radius given by that of the final solutions to the initial-value problem. The dots show (3.8a,b) and (3.10).

Figure 3

Figure 4.A comparison of numerical solutions of the initial-value problem (solid lines) with self-similar solutions (dots) for (a) Newtonian ($n=1,\ \textrm {Bi}=0$) with $H_0=0.5, 1$ and 2, and (b) power-law fluid ($n=0.4,\ \textrm {Bi}=0$) with $H_0=1,\ 1.5$ and 2. Plotted are the scaled variables $t^{({1}/{2})(1-n)} (r/{\bar {R}})^{-(1-n)/(n+1)} U\equiv \zeta ^{-(1-n)/(n+1)}{\mathcal {U}}(\zeta )$ and $t^n (r/{\bar {R}})^{2n/(n+1)} H \equiv \zeta ^{2n/(n+1)}F(\zeta )$ against $\zeta \equiv r/{\bar {R}}(t)$ every 100 time units. The two panels present the initial-value problem solutions shown in figures 2 and 3, with colour again representing time (from green, grey or red to blue, as indicated by the arrows), and omitting the earliest snapshot in each computation.

Figure 4

Figure 5.Sample solution for $n=0.4$ and $\textrm {Bi}=H_0=1$, showing snapshots of (a) $H(r,t)$ and (b) $U(r,t)$, and time series of (c) ${\bar {R}}(t)-1$ and (d) $H_{max}(t)$ (solid) and $H_{min}(t)$ (dashed). The stars in (c,d) indicate the times of the snapshots in (a,b). Slopes of unity and ${{\frac {1}{2}}}$ are indicated in (c).

Figure 5

Figure 6.Sample snapshots of $H(r,t)$ for $n=0.4$ and $\textrm {Bi}=1$ for varying $H_0$. The inset shows the time series of ${\bar {R}}(t)$.

Figure 6

Figure 7.Numerical solution for $n=\textrm {Bi}=H_0=1$, showing snapshots of (a) $H(r,t)/\textrm {Bi}$ and (b) $U(r,t)\sqrt {t\textrm {Bi}}/\varLambda$ every 100 time units, plotted against $r/{\bar {R}}(t)$, with $\varLambda \approx {{\frac {1}{2}}}$. The dots and darker (blue) line show the self-similar solution of § 3.4 with ${\varepsilon }\ll 1$. In (c,d), we plot times series of ${\bar {R}}(t)$, $H_{max}(t)$ (solid) and $H_{min}(t)$ (dashed). The dashed line in (c) shows ${\bar {R}}=\varLambda \sqrt {t/\textrm {Bi}}$, and the initial linear scaling is indicated. In (e,f), solutions with $H_0=1$, 2, 4, 6, 8 and 12 are plotted at the times indicated and again compared with the similarity solution; time series of the edge ${\bar {R}}(t)$ for the solutions with $H_0>1$ are included in (c) as the lighter grey lines, and (d) includes $H_{max}(t)$ and $H_{min}(t)$ for $H_0=2$ and 4.

Figure 7

Figure 8.Similarity solutions solved (a,b) by shooting for five values of $A$ over the range $[1.0112,1.0465]$, and (c,d) as boundary-value problems for varying ${\varepsilon }$ at fixed $F_0=8.57$ (darker blue) and varying $F_0$ for fixed ${\varepsilon }=0.00625$ (lighter grey). The blue dots in (c,d) show the shooting solution used to initiate the boundary-value computations. The red dashed and dotted lines indicate the approximations shown by the legends (with $A=1$), as given in (3.25) and (3.26a,b). In (e,f), solutions are continued to still smaller ${\varepsilon }$ (as indicated by the stars) using the alternative inner boundary condition $F({\varepsilon })=-\sqrt 3\log {\varepsilon }$. The dashed line in (f) shows the limiting solution expected for $\zeta \ll 1$ (appendix B.1) with a pre-factor chosen to be $c=0.4$.

Figure 8

Figure 9.Instantaneous growth rates $G(t)$ as functions of $\textrm {Bi}$ and $MX=m({\bar {R}}-1)$ for (a) $H_0=\frac {2}{3}$ and (b) $H_0=\frac {4}{3}$, with $n=1$. The blue curves highlight the contour $G=0$. In (c,d), we plot the limiting growth rates $G_0=U_{1x}$ and $G_\infty =\lim _{M\to \infty }(G)$ against $\textrm {Bi}$ for $n=0.25$, $0.4$, $0.6$, $0.8$ and 1, with the values of $H_0$ indicated.

Figure 9

Figure 10.Solutions of the initial-value problem for linear perturbations to Newtonian spreading flow ($n=1,\ \textrm {Bi}=0$), showing (a) time series of the perturbed radius scaled by the base state radius for the values of $H_0$ and $m$ indicated, and (b) the perturbed radial velocity $\hat {u}$ for $H_0=1$ at the times indicated (successively offset and with the colour coding representing $m$ as in (a)). The inset to (a) shows the early-time behaviour of $\hat {R}(t)$ along with the asymptotic predictions of § 4.1 (dashed); the dotted lines show the power laws $t^{-0.8}$ (top), $t^{-0.81}$ and $t^{-0.76}$ (bottom) predicted by the analysis in appendix A.2. In (c–e), with $m=2$ and $H_0=1$, the solutions for $\hat {u}(r,t)$, $\hat {v}(r,t)$ and $\hat {h}(r,t)$ are scaled and plotted against $r/{\bar {R}}(t)$ every 50 time units up to the extended time of $t=10^3$; the dashed lines show the self-similar solutions from appendix A.2, taking ${\varepsilon }=0.006$.

Figure 10

Figure 11.Solutions of the initial-value problem for linear perturbations to Bingham spreading flow ($n=1,\ \textrm {Bi}>0$) with $H_0=1$. (a) Time series of the perturbed radius scaled by the base state radius, $\hat {R}/{\bar {R}}$, for the values of $m$ indicated; the solid lines show results for $\textrm {Bi}=1$, the dotted lines for $\textrm {Bi}=0.1$ and the dot-dashed lines for $\textrm {Bi}=10$ (computations are terminated when $|\hat {R}|/\bar {R}=10^6$). The black dashed lines show the growth expected from appendix B.2, based on the final value of ${\varepsilon }={\bar {R}}^{-1}$. The inset shows the early-time behaviour of $\hat {R}(t)$ along with the approximation $\textrm {e}^{U_{1x}t}$ (dashed). (b) Snapshots of $(\hat {u},\hat {v},(2{\rm \pi} )^{-1}\hat {h})/Max(\hat {u})$ at $t=100$ for $\textrm {Bi}=1$ (solid, dashed and dotted, respectively, with the colour coding representing $m$ as in (a)). (c) The final snapshots of $\hat {v}$ for $\textrm {Bi}=10$. The dots show the corresponding self-similar solutions of appendix B.2; for the complex modes with $m=8$ and 16, a constant phase is chosen arbitrarily.

Figure 11

Figure 12.Solutions of the initial-value problem for linear perturbations for power-law fluid ($\textrm {Bi}=0$) for the values of $n$ indicated and $H_0=2$. In the main panels, perturbed radius scaled by the base state radius is plotted for (a) $m=4$ and (b) $m=1$. The dotted lines indicate the power laws $t^{\lambda _r}$ predicted for the self-similar solutions in appendix B.2. The insets show the final snapshots of $\hat {v}$.

Figure 12

Figure 13.Eigenmodes of the linear stability problem for self-similar solutions with $\textrm {Bi}=0$, showing (a) $\lambda _r$ against $m$ for $n=[0.1, 0.15, 0.2, 0.4,\ldots ,1]$ and $\lambda _i$ against $m$ for $n=[0.1, 0.15, 0.2]$, and (b) $\lambda _r$ against $n$ for $m=1$. In both panels, data for ${\varepsilon }=10^{-3}$ (solid), $0.01$, $0.05$ and $0.1$ (all dashed) are shown.

Figure 13

Figure 14.Eigenfunctions ${{\Psi }}$ for (a) $n=1$, (b) $n=0.4$ and (c) $n=0.1$, with ${\varepsilon }=0.1$ (dashed) and $0.01$ (solid). Modes with $m=1$, 4 and 10 are plotted (as indicated by colour). The dash-dot lines show more $m=1$ solutions for ${\varepsilon }=10^{-3}$. In (c), the real parts of the complex modes with $m>1$ are plotted. The dots show numerical solutions of the initial-value problem at $t\approx 300$ for a selection of the cases ($m=10$ in (a); $m=1$ and 4 in (b); $m=4$ in (c)).

Figure 14

Figure 15.Eigenvalues $\lambda =\lambda _r+\textrm {i}\lambda _i$ against $m$ for a base state with $A=1.03$ ($F_0=5.86$) and ${\varepsilon }=0.05$. The eigenvalues are computed treating $m$ as a real number; the solution with integer $m$ are shown as circles, coloured according to whether they are real (blue and red, with the former having a $\lambda$ greater than that of the latter) or complex (green). The insets show the mode shapes for ${\check {\mathcal {U}}}(\zeta )$.

Figure 15

Figure 16.Eigenvalues $\lambda =\lambda _r+\textrm {i}\lambda _i$ against $m$ for the values of ${\varepsilon }$ indicated (with $A=1.029112$ for ${\varepsilon }=0.015$, $A=1.03$ for ${\varepsilon }=0.05$, and $A=1$ for the cases with larger ${\varepsilon }$). The dashed lines show the linear and quadratic curves of figure 15.