Title
A new incompressibility discretization for a hybrid particle MAC grid representation with surface tension.
Abstract
We take a particle based approach to incompressible free surface flow motivated by the fact that an explicit representation of the interface geometry and internal deformations gives precise feedback to an implicit solver for surface tension. Methods that enforce incompressibility directly on the particles are typically numerically inefficient compared to those that utilize a background grid. However, background grid discretizations suffer from inaccuracy near the free surface where they do not properly capture the interface geometry. Therefore, our incompressibility discretization utilizes a particle based projection near the interface and a background MAC grid based projection for efficiency in the vast interior of the liquid domain – as well as a novel method for coupling these two disparate projections together. We show that the overall coupled elliptic solver is second order accurate, and remains second order accurate when used in conjunction with an appropriate temporal discretization for parabolic problems. A similar second order accurate discretization is derived when the MAC grid unknowns are located on faces (as opposed to cell centers) so that Navier–Stokes viscosity can be solved for implicitly as well. Finally, we present a fully implicit approach to surface tension that is robust enough to achieve a steady state solution in a single time step. Beyond stable implicit surface tension for our novel hybrid discretization, we demonstrate preliminary results for both standard front tracking and the particle level set method.
Year
DOI
Venue
2015
10.1016/j.jcp.2014.08.051
Journal of Computational Physics
Keywords
Field
DocType
Incompressible flow,Surface tension,Hybrid particle MAC grid,Fluid simulation
Discretization,Mathematical optimization,Free surface,Temporal discretization,Level set method,Mathematical analysis,Incompressible flow,Solver,Grid,Mathematics,Parabola
Journal
Volume
Issue
ISSN
280
C
0021-9991
Citations 
PageRank 
References 
10
0.52
32
Authors
4
Name
Order
Citations
PageRank
Wen Zheng1191.40
Bo Zhu222717.31
Byungmoon Kim346523.35
Ronald Fedkiw44772287.40