2016
DOI: 10.1039/c6sm01980c
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A Langevin model for fluctuating contact angle behaviour parametrised using molecular dynamics

Abstract: Molecular dynamics simulations are employed to develop a theoretical model to predict the fluidsolid contact angle as a function of wall-sliding speed incorporating thermal fluctuations. A liquid bridge between counter-sliding walls is studied, with liquid-vapour interface-tracking, to explore the impact of wall-sliding speed on contact angle. The behaviour of the macroscopic contact angle varies linearly over a range of capillary numbers beyond which the liquid bridge pinches off, a behaviour supported by exp… Show more

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Cited by 21 publications
(40 citation statements)
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“…Clearly, the formation of bilayer at the CL does not allow for a strict interpretation of our measurements and a more accurate way of measuring the contact angle at the CL, based on the droplet curvature [14], is clearly not applicable in this case. Moreover, we do not attempt here to describe the fluctuating contact angle behaviour, which has been considered in a previous study in detail [84].…”
Section: Resultsmentioning
confidence: 99%
“…Clearly, the formation of bilayer at the CL does not allow for a strict interpretation of our measurements and a more accurate way of measuring the contact angle at the CL, based on the droplet curvature [14], is clearly not applicable in this case. Moreover, we do not attempt here to describe the fluctuating contact angle behaviour, which has been considered in a previous study in detail [84].…”
Section: Resultsmentioning
confidence: 99%
“…Clearly, other simple periodic geometries [102] might be used instead of the one proposed here with similar success. In any case, the proposed model can then be exploited for systematic sensitivity analysis, employed for further upscaling [103] or to provide for an in silico platform for testing advanced theories of wetting [64,104]. More importantly, it can be employed as a test system to understand outstanding inconsistencies between theories and simulations (and even resolving contradictions amongst simulations results), as pointed out by Svoboda et al [105].…”
Section: Discussionmentioning
confidence: 99%
“…6 (b). As each electrowetting case has a different equilibrium angle θ e , we consider the relative change in angle θ − θ e and, for the four different electrowetting numbers Fig 6 (b), we can collapse these onto a single curve by multiplying velocity with an arbitrary function of wall interaction wall , here off mechanism seen in the molecular system also bears a striking qualitative resemblance to the one observed experimentally 16,132 . This limitation on the range of stability of a sheared liquid bridge places a constraint on the range of contact line dynamics that can be explored.…”
Section: Dynamic Contact Anglesmentioning
confidence: 99%
“…(7) with the Langevin Eq. (20), wetting is incorporated into a solver for the continuum thin-film equations 5 as shown in Fig 7 (b) (see Karapetsas et al6 for implementation details of the thin-film solver and Smith et al31 for the (a) Wall sliding speeds for four wetting numbers collapsed onto a single line by scaling using5/2 wall . (b) CFD solver using the thin-film form of the equations (5) for four values of electrowetting number wall = {0.38, 0.46, 0.52, 0.69} (red, blue, yellow, and green lines, respectively) showing the evolution of angle θ and the contact angle velocity dX c /dt (insert) as a function of time t. tuning of the contact line model).…”
mentioning
confidence: 99%