Numerical simulation of bubble rising in viscous liquid

By Jinsong Hua, Jing Lou. Journal of Computational Physics, 2007

364 citations recorded by the source corpus.

Subfields: Biomedical Engineering, Computational Mechanics

View Paper: https://www.semanticscholar.org/paper/dc0e4a1203d332077b648139ce8099702bdb406a

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In Biomedical Engineering

In Computational Mechanics

Citations in the corpus

Non-spherical bubble dynamics in a compressible liquid. Part 1. Travelling acoustic wave (2010, methodology): “…(Johnsen & Colonius 2009), orthogonal boundary-fitted grids for axisymmetric bubbles (Yang & Prosperetti 2008), the free Lagrange method (Turangan et al. 2008), the arbitrary Lagrangian–Eulerian method (Yue et al. 2007) and front-tracking method coupled with SIMPLE algorithm (Hua & Lou 2007).”
Steady bubble rise and deformation in Newtonian and viscoplastic fluids and conditions for bubble entrapment (2008, background): “Some notable examples are the papers by Unverdi & Trygvasson (1992), Bonometti & Magnaudet (2006, 2007) and Hua & Lou (2007).”
Single bubble rising dynamics for moderate Reynolds number using Lattice Boltzmann Method (2010, methodology): “Overall, simulated final shapes exhibit the desired topological changes as described experimentally [5] and numerically [18,37,39].”
A brief review of the phase-field-based lattice Boltzmann method for multiphase flows (2019, result): “For comparisons, the previous results including the experimental data (Bhaga and Weber, 1981), the front tracking simulation results of Hua and Lou (2007), and the numerical results of the axisymmetric LB model by Huang et al. (2014) are also presented.”
Influence of surface tension implementation in Volume of Fluid and coupled Volume of Fluid with Level Set methods for bubble growth and detachment (2013, background): “For the same physical and geometrical properties, Hua and Lou (2007) have shown that this size ensures no liquid influence from the boundary walls on the bubble motion.”
A conservative local interface sharpening scheme for the constrained interpolation profile method (2012, background): “As discussed in [37], no significant change is observed for the results, when the computational domain is larger than 4Db , therefore the dimensions of the computational domain are set as 6de 6de 12de in x, y, and ́ directions to be on the safe side.”