2017
DOI: 10.1103/physrevfluids.2.054001
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Electric field stabilization of viscous liquid layers coating the underside of a surface

Abstract: We investigate the electrostatic stabilization of a viscous thin film wetting the underside of a horizontal surface in the presence of an electric field applied parallel to the surface. The model includes the effect of bounding solid dielectric regions above and below the liquid-air system that are typically found in experiments. The competition between gravitational forces, surface tension, and the nonlocal effect of the applied electric field is captured analytically in the form of a nonlinear evolution equa… Show more

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Cited by 10 publications
(28 citation statements)
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“…We believe that the nonlocality of the problem is an important factor here. We emphasize that, unlike the electric field stabilization of the classical Rayleigh-Taylor instability [42,43], the mean flow gives rise to nontrivial bounded solutions (wave trains that do not drip) below the threshold of stabilization of the flat interface solution. For this reason, we do not investigate active control strategies.…”
Section: Introductionmentioning
confidence: 90%
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“…We believe that the nonlocality of the problem is an important factor here. We emphasize that, unlike the electric field stabilization of the classical Rayleigh-Taylor instability [42,43], the mean flow gives rise to nontrivial bounded solutions (wave trains that do not drip) below the threshold of stabilization of the flat interface solution. For this reason, we do not investigate active control strategies.…”
Section: Introductionmentioning
confidence: 90%
“…Numerical solutions of the model accurately capture the primary collar and secondary lobe structures present in the early stages of finger formation (as validated with DNS). In both [42] and [43], the authors demonstrate numerically the possibility of active control of the underlying Rayleigh-Taylor instability and production of sustained nonlinear interfacial oscillations for arbitrarily long times. Such oscillations can enhance mixing, for example, as in [44].…”
Section: Introductionmentioning
confidence: 98%
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