Particle-Laden Fluid on Flow Maps
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.
Authors
- J.T.C. Liu (ORCID: https://orcid.org/0000-0003-3996-3851)
- Duowen Chen (ORCID: https://orcid.org/0009-0002-6833-6312)
- Bo Zhu (ORCID: https://orcid.org/0000-0002-1392-0928)
- Zhiqi Li (ORCID: https://orcid.org/0000-0002-6892-8097)
- C. C. Lin (ORCID: https://orcid.org/0009-0007-8534-146X)
Institutions
- Dartmouth College (US)
- Georgia Institute of Technology (US)
Publication Details
- Journal
- ACM Transactions on Graphics
- Published
- 2024-11-19
- DOI
- https://doi.org/10.1145/3687916
- Citations
- 4
- Primary Topic
- Computer Graphics and Visualization Techniques
- Type
- article
- Field-Weighted Citation Impact
- 2.53
Funders
- Office of International Science and Engineering
- Division of Electrical, Communications and Cyber Systems