New Immersed Boundary Method with Irrotational Discrete Delta Vector for Droplet Simulations with Large Density ratio
Chia Rui Ong, Hiroaki Miura

TL;DR
This paper introduces a novel immersed boundary method that uses an irrotational discrete delta vector to effectively reduce parasitic currents and improve interface reconstruction in droplet simulations with high density ratios.
Contribution
A new irrotational discrete delta function scheme is proposed to eliminate parasitic currents and enhance interface accuracy in immersed boundary simulations.
Findings
Significantly reduces unphysical parasitic currents.
Improves droplet surface stability and interface reconstruction.
Validated through standard test cases with positive results.
Abstract
The Immersed Boundary Method (IBM) is one of the popular one-fluid mixed Eulerian-Lagrangian methods to simulate motion of droplets. While the treatment of a moving complex boundary is an extremely time consuming and formidable task in a traditional boundary-fitted fluid solver, the one-fluid methods provide a relatively easier way to track moving interfaces on a fixed Cartesian grid since the regeneration of a mesh system that conforms to the interface at every time step can be avoided. In the IBM, a series of connected Lagrangian markers are used to represent a fluid-fluid interface and the boundary condition is enforced by adding a forcing term to the Navier-Stokes equations. It is known that the IBM suffers two problems. One is spontaneous generation of unphysical kinetic energy, which is known as parasitic currents, and the other is spurious reconstruction of interface. These two…
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Taxonomy
TopicsFluid Dynamics and Heat Transfer · Particle Dynamics in Fluid Flows · Electrohydrodynamics and Fluid Dynamics
