An efficient high-resolution Volume-of-Fluid method with low numerical diffusion on unstructured grids

2021 ◽  
pp. 110606
Author(s):  
Dokyun Kim ◽  
Christopher B. Ivey ◽  
Frank E. Ham ◽  
Luis G. Bravo
Author(s):  
Ryuichi Iwata ◽  
Takeo Kajishima ◽  
Shintaro Takeuchi

In the present study, bubble-particle interactions in suspensions are investigated by a coupled immersed-boundary and volume-of-fluid method (IB-VOF method), which is proposed by the present authors. The validity of the numerical method is examined through simulations of a rising bubble in a liquid and a falling particle in a liquid. Dilute particle-laden flows and a gas-liquid-solid flow involving solid particles and bubbles of comparable sizes to one another (Db/Dp = 1) are simulated. Drag coefficients of particles in particle-laden flows are estimated and flow fields involving multiple particles and a bubble are demonstrated.


2021 ◽  
pp. 110411
Author(s):  
Niklas Kühl ◽  
Jörn Kröger ◽  
Martin Siebenborn ◽  
Michael Hinze ◽  
Thomas Rung

Fluids ◽  
2021 ◽  
Vol 6 (2) ◽  
pp. 80
Author(s):  
Yuria Okagaki ◽  
Taisuke Yonomoto ◽  
Masahiro Ishigaki ◽  
Yoshiyasu Hirose

Many thermohydraulic issues about the safety of light water reactors are related to complicated two-phase flow phenomena. In these phenomena, computational fluid dynamics (CFD) analysis using the volume of fluid (VOF) method causes numerical diffusion generated by the first-order upwind scheme used in the convection term of the volume fraction equation. Thus, in this study, we focused on an interface compression (IC) method for such a VOF approach; this technique prevents numerical diffusion issues and maintains boundedness and conservation with negative diffusion. First, on a sufficiently high mesh resolution and without the IC method, the validation process was considered by comparing the amplitude growth of the interfacial wave between a two-dimensional gas sheet and a quiescent liquid using the linear theory. The disturbance growth rates were consistent with the linear theory, and the validation process was considered appropriate. Then, this validation process confirmed the effects of the IC method on numerical diffusion, and we derived the optimum value of the IC coefficient, which is the parameter that controls the numerical diffusion.


2020 ◽  
Vol 229 (10) ◽  
pp. 1923-1934 ◽  
Author(s):  
Tomas Fullana ◽  
Stéphane Zaleski ◽  
Stéphane Popinet

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