Particle-Laden Fluid on Flow Maps

1Georgia Institute of Technology
2Dartmouth College
ACM Transactions on Graphics (SIGGRAPH Asia 2024)
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Examples of ink diffusion phenomena simulated by our method. Five simulation snapshots are shown from left to right: the interaction of two ink drops forming ink rings and filaments; the formation of complex patterns as ink flows down a porous plate; the bulging, breakup, and torus formation of the tail of a dripped ink drop; the interaction between ink and a hollow cat; and the ink diffusion stirred by a chopstick.

Abstract

We propose a novel framework for simulating ink as a particle-laden flow using particle flow maps. Our method addresses the limitations of existing flow-map techniques, which struggle with dissipative forces like viscosity and drag, thereby extending the application scope from solving the Euler equations to solving the Navier-Stokes equations with accurate viscosity and laden-particle treatment. Our key contribution lies in a coupling mechanism for two particle systems, coupling physical sediment particles and virtual flow-map particles on a background grid by solving a Poisson system. We implemented a novel path integral formula to incorporate viscosity and drag forces into the particle flow map process. Our approach enables state-of-the-art simulation of various particle-laden flow phenomena, exemplified by the bulging and breakup of suspension drop tails, torus formation, torus disintegration, and the coalescence of sedimenting drops. In particular, our method delivered high-fidelity ink diffusion simulations by accurately capturing vortex bulbs, viscous tails, fractal branching, and hierarchical structures.

Examples

Video Presentation

Paper

BibTeX

@inproceedings{li2024particle,
        title = {Particle-Laden Fluid on Flow Maps},
        author = {Li, Zhiqi and Chen, Duowen and Lin, Candong and Liu, Jinyuan and Zhu, Bo}
        journal={ACM Transactions on Graphics (TOG)},
        volume={43},
        number={6},
        pages={1--20},
        year={2024},
        publisher={ACM New York, NY, USA}
      }