2021
DOI: 10.1021/acs.iecr.0c06157
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Effect of Surface Wettability on Droplet Coalescence and Pressure Drop in a Fibrous Filter: Direct Numerical Simulation Coordinated with X-ray Computed Tomography Images

Abstract: In this study, the effect of surface wettability on the coalescence of oil droplets and pressure drop within a fibrous filter were investigated numerically. We simulated the permeation and coalescence of an oil-in-water (O/W) emulsion through a fibrous filter using our direct numerical simulation model based on the phase-field model, the immersed boundary method, and a wetting model that assigns an order parameter to the fiber surface. To appropriate the actual phenomena inside the filter, the microporous stru… Show more

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Cited by 15 publications
(9 citation statements)
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“…S is the random stress tensor, which represents thermal fluctuations at the mesoscopic scale . Details of the calculation of this term are found in refs , . The momentum exchange term f IB is explained in the next section.…”
Section: Methodsmentioning
confidence: 99%
See 2 more Smart Citations
“…S is the random stress tensor, which represents thermal fluctuations at the mesoscopic scale . Details of the calculation of this term are found in refs , . The momentum exchange term f IB is explained in the next section.…”
Section: Methodsmentioning
confidence: 99%
“…We have shown a simple simulation result of a droplet moving on a surface in our previous paper. 50 It can be seen that the dynamic contact angle is expressed qualitatively. However, whether this model can accurately represent the dynamic contact angle of complex and small scales such as porous media needs to be investigated in the future.…”
Section: Wall Boundary Model For Solid Surfacesmentioning
confidence: 96%
See 1 more Smart Citation
“…The details of the modelling of interfacial flows are available in our previous papers. [34][35][36][37]…”
Section: Modeling Of Free Interfacial Motionmentioning
confidence: 99%
“…With a highperformance workstation and a corresponding software using artificial intelligence (AI) segmentation tools, even materials with similar densities or atomic numbers can be easily distinguished by this technique. In the past, glass fibers in glass/epoxy laminate [15], synthetic fibers in concrete [16] or porous PPS (polyphenylene sulfide) filters for the filtration of oil/water emulsions [17,18] have already been investigated using a (µ-)CT but there is still no research done for porous filter material consisting of micro glass fibers and/or PET fibers with diameters down to approximately 1 µm loaded with oil mist.…”
Section: Introductionmentioning
confidence: 99%