Multiple-scale Simulation Method for Liquid with Trapped Air under Particle-based Framework
Sinuo Liu, Ben Wang, Xiaojuan Ban · 2020 IEEE Conference on Virtual Reality and 3D User Interfaces (VR) · 2020
Trapped air in liquid is an important factor which affect the realism of fluid simulation. However, due to the complex physical properties, simulating the interaction and transformation between air and Liquid is extremely challenging and time-consuming. In this paper, we propose a multi-scale simulation method under particle-based framework to achieve the realistic and efficient simulation of air-liquid fluid. A unified generation rule is proposed according to the kinetic energy and the velocity difference between fluid particles. Two velocity-based dynamic models are then established for different size of air materials respectively. The Brownian motion of small scale air materials is achieved by Schilk random function. The interaction and air transfer between large scale air materials is achieved by inverse diffusion equation and a new high-order kernel function. Experimental results show that the proposed method can improve the fidelity and richness of the fluid simulation. The post-processing scheme makes it able to be integrated with existing particle method easily.