2022
DOI: 10.1016/j.ces.2022.117874
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Numerical simulation of droplet formation in a microfluidic T-junction using a dynamic contact angle model

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Cited by 17 publications
(3 citation statements)
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“…Two-dimensional volume of fluid (VOF) simulations were performed to aid the atomization prediction. For this, the standard OpenFOAM solver interFoam was modified to include a smoothing method to suppress spurious currents (see [45] for solver details). The geometry consisted of a rectangular 2D tank with a driven vibrating bottom (oscillating at 500 kHz for different oscillation amplitudes, which were: 0.4 μm, 0.5 μm, 1.0 μm, 1.5 μm, 2.0 μm, and 2.5 μm) and periodic boundary conditions at the sides.…”
Section: Methodology For Atomization Predictionmentioning
confidence: 99%
“…Two-dimensional volume of fluid (VOF) simulations were performed to aid the atomization prediction. For this, the standard OpenFOAM solver interFoam was modified to include a smoothing method to suppress spurious currents (see [45] for solver details). The geometry consisted of a rectangular 2D tank with a driven vibrating bottom (oscillating at 500 kHz for different oscillation amplitudes, which were: 0.4 μm, 0.5 μm, 1.0 μm, 1.5 μm, 2.0 μm, and 2.5 μm) and periodic boundary conditions at the sides.…”
Section: Methodology For Atomization Predictionmentioning
confidence: 99%
“…In our previous study on atomising liquid slugs in segmented flow, we showed that this threshold can be predicted by VOF simulations (Cailly et al 2023). A standard two-dimensional OpenFOAM solver interFoam modified according to Yin & Kuhn (2022) was used, and the detailed methodology is provided in Cailly et al (2023). The method is consistent with the Kumar & Tuckerman (1994) theory for predicting the Faraday instability threshold at the selected frequency.…”
Section: Dynamic Acoustic Resonance With Deformed Liquid Surfacesmentioning
confidence: 96%
“…2023). A standard two-dimensional OpenFOAM solver interFoam modified according to Yin & Kuhn (2022) was used, and the detailed methodology is provided in Cailly et al. (2023).…”
Section: Figure 12mentioning
confidence: 99%