Zhiqi Li, Duowen Chen, Candong Lin, Jinyuan Liu, Bo Zhu
{"title":"Particle-Laden Fluid on Flow Maps","authors":"Zhiqi Li, Duowen Chen, Candong Lin, Jinyuan Liu, Bo Zhu","doi":"arxiv-2409.06246","DOIUrl":null,"url":null,"abstract":"We propose a novel framework for simulating ink as a particle-laden flow\nusing particle flow maps. Our method addresses the limitations of existing\nflow-map techniques, which struggle with dissipative forces like viscosity and\ndrag, thereby extending the application scope from solving the Euler equations\nto solving the Navier-Stokes equations with accurate viscosity and\nladen-particle treatment. Our key contribution lies in a coupling mechanism for\ntwo particle systems, coupling physical sediment particles and virtual flow-map\nparticles on a background grid by solving a Poisson system. We implemented a\nnovel path integral formula to incorporate viscosity and drag forces into the\nparticle flow map process. Our approach enables state-of-the-art simulation of\nvarious particle-laden flow phenomena, exemplified by the bulging and breakup\nof suspension drop tails, torus formation, torus disintegration, and the\ncoalescence of sedimenting drops. In particular, our method delivered\nhigh-fidelity ink diffusion simulations by accurately capturing vortex bulbs,\nviscous tails, fractal branching, and hierarchical structures.","PeriodicalId":501125,"journal":{"name":"arXiv - PHYS - Fluid Dynamics","volume":"21 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-09-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"arXiv - PHYS - Fluid Dynamics","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/arxiv-2409.06246","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
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.