流动图上的含颗粒流体

Zhiqi Li, Duowen Chen, Candong Lin, Jinyuan Liu, Bo Zhu
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引用次数: 0

摘要

我们提出了一种利用粒子流图模拟墨水粒子流的新框架。我们的方法解决了现有流图技术的局限性,即难以处理粘性和拖曳等耗散力,从而将应用范围从求解欧拉方程扩展到求解纳维-斯托克斯方程,并进行精确的粘性和负载粒子处理。我们的主要贡献在于两个粒子系统的耦合机制,通过求解泊松系统,在背景网格上耦合物理沉积粒子和虚拟流动粒子。我们实施了一个新的路径积分公式,将粘滞力和阻力纳入粒子流图过程。我们的方法能够对各种颗粒载流现象进行最先进的模拟,例如悬浮液滴尾部的隆起和破裂、环的形成、环的解体以及沉降液滴的凝聚。特别是,我们的方法通过准确捕捉涡球、粘性尾流、分形分支和层次结构,实现了高保真油墨扩散模拟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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