Proceedings ILASS–Europe 2017. 28th Conference on Liquid Atomization and Spray Systems 2017
DOI: 10.4995/ilass2017.2017.4755
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Simulation of droplet spreading on micro-CT reconstructed 3D real porous media using the volume-of-fluid method

Abstract: Droplet impact on porous media has a broad range of applications such as material processing, drug delivery and ink injection etc. The simulation studies of such processes are rather limited. To represent the spreading and absorption process of the droplet on porous materials, robust numerical schemes capable of accurately representing wettability as well as capillary effects need to be established. The current work, presents one of the first studies of droplet impact on a real porous media geometry model extr… Show more

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Cited by 4 publications
(2 citation statements)
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“…Future work will take advantage of those common features in order to move towards a more unified approach for the high-fidelity simulation of two-phase flows. Further testing will involve other well-known test cases such as the spiral in a deformation field or the Zalesak slotted disk, as tested already using the RCLS method in Pringuey and Cant [42] or droplet spreading on surfaces, as tested in Aboukhedr et al [29] and Aboukhedr et al [62]. Over time, the aim is to develop the capability to simulate two-phase flow problems regardless of the test case conditions and without the need to adjust solver parameters.…”
Section: Self-similarity Solutionmentioning
confidence: 99%
“…Future work will take advantage of those common features in order to move towards a more unified approach for the high-fidelity simulation of two-phase flows. Further testing will involve other well-known test cases such as the spiral in a deformation field or the Zalesak slotted disk, as tested already using the RCLS method in Pringuey and Cant [42] or droplet spreading on surfaces, as tested in Aboukhedr et al [29] and Aboukhedr et al [62]. Over time, the aim is to develop the capability to simulate two-phase flow problems regardless of the test case conditions and without the need to adjust solver parameters.…”
Section: Self-similarity Solutionmentioning
confidence: 99%
“…The constant Cα controls the magnitude of the compression term and therefore the diffusion of the numerical scheme. Cα is a user-specified value, which in capillary flow is often case specific [12]. Small values of Cα, provide moderate compression and numerically diffusive schemes (small relative velocity), while large compression, Cα ≥ 1 provide sharper interfaces.…”
Section: Numerical Implementationmentioning
confidence: 99%