2020
DOI: 10.1016/j.jcp.2019.109184
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A variational level set methodology without reinitialization for the prediction of equilibrium interfaces over arbitrary solid surfaces

Abstract: A B S T R A C TA robust numerical methodology to predict equilibrium interfaces over arbitrary solid surfaces is developed. The kernel of the proposed method is the distance regularized level set equations (DRLSE) with techniques to incorporate the no-penetration and mass-conservation constraints. In this framework, we avoid reinitialization typically used in traditional level set methods. This allows for a more efficient algorithm since only one advection equation is solved, and avoids numerical error associa… Show more

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Cited by 7 publications
(18 citation statements)
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“…In contrast, the average slip length on the superhydrophobic random texture is appreciably diminished (from b ≈ 25 to 18 μm) in the butanol solution. This may either be a consequence of adverse Marangoni stresses, arising from surfactant gradients that form adjacent to flow-obstructing texture asperities, or may also be due to the lowering and further impalement of the air-water interface into the random texture, caused by the reduction in the surface tension of the liquid phase [42].…”
Section: B Interfacial Effectsmentioning
confidence: 99%
“…In contrast, the average slip length on the superhydrophobic random texture is appreciably diminished (from b ≈ 25 to 18 μm) in the butanol solution. This may either be a consequence of adverse Marangoni stresses, arising from surfactant gradients that form adjacent to flow-obstructing texture asperities, or may also be due to the lowering and further impalement of the air-water interface into the random texture, caused by the reduction in the surface tension of the liquid phase [42].…”
Section: B Interfacial Effectsmentioning
confidence: 99%
“…The simulation is stopped after 6000 iterations (t f inal = 300.0) and snapshots of the interface evolution are shown in Fig 13 for t = 0.0, 37.5, 75.0, 112.5, 150.0, 187.5, 225.0, 262.5, and 300.0. Problem parameters describing spiral geometry were chosen to match [13] for comparison. The spiral unwinds under curvature-driven motion, and its size decreases in the process until it eventually acquires a bean shape that later collapses rapidly.…”
Section: Wound Spiralmentioning
confidence: 99%
“…This is more commonly known as the distance regularized level set evolution (DRLSE) where the regularization term penalizes the deviation of the level-set from an SDF, therefore, bypassing the need for an explicit reinitialization step. More recently, Alamé et al [13] devised a robust numerical methodology to predict equilibrium interfaces by utilizing a DRLSE approach. Their variational LS formulation comes in the context of Gibbs free energy minimization where they demonstrate comparisons between analytical solutions of liquid-air interface equilibria and the proposed variational LS method.…”
Section: Introductionmentioning
confidence: 99%
“…using the finite-difference method with necessary reinitialization to preserve the sign distance property of the level-set function ϕ. The spiral parameters are chosen to be np = 400, D = 2.5, a = 3, m = 2 [57]. Time integration is performed using a second-order Runge-Kutta scheme with a step size of dt = 0.001.…”
Section: Data Availability Statementmentioning
confidence: 99%