An Impulse Ghost Fluid Method for Simulating Two-Phase Flows

Yuchen Sun, Linglai Chen, Weiyuan Zeng, Tao Du, Shiying Xiong, Bo Zhu
ACM Transactions on Graphics (Siggraph Asia 2024)
Poster Dataset Distillation (PoDD)

Our Impulse Ghost Fluid Method preserves vortical structures and fluid volume across a broad spectrum of two-phase vortical flow simulations. We present four illustrative snapshots from simulations utilizing this method: a swinging fishtail viewed from above (left), rising bubbles in a tank (middle left), a rising bubble ring hitting the liquid-air interface (middle right) and a pair of leapfrogging bubble rings (right).

Abstract

This paper introduces a two-phase interfacial fluid model based on the impulse variable to capture complex vorticity-interface interactions. Our key idea is to leverage bidirectional flow map theory to enhance the transport accuracy of both vorticity and interfaces simultaneously and address their coupling within a unified Eulerian framework. At the heart of our framework is an impulse ghost fluid method to solve the two-phase incompressible fluid characterized by its interfacial dynamics. To deal with the history-dependent jump of gauge variables across a dynamic interface, we develop a novel path integral formula empowered by spatiotemporal buffers to convert the history-dependent jump condition into a geometry-dependent jump condition when projecting impulse to velocity. We demonstrate the efficacy of our approach in simulating and visualizing several interface-vorticity interaction problems with cross-phase vortical evolution, including interfacial whirlpool, vortex ring reflection, and leapfrogging bubble rings.

Paper

Video

BibTeX

@article{sun2024igfm,
        title={An Impulse Ghost Fluid Method for Simulating Two-Phase Flows},
        author={Sun, Yuchen and Chen, Linglai and Zeng, Weiyuan and Du, Tao and Xiong, Shiying and Zhu, Bo},
        journal={ACM Transactions on Graphics (TOG)},
        volume={43},
        number={6},
        pages={1--12},
        year={2024},
        publisher={ACM New York, NY, USA}
      }