Abstract
Multiple-phase fluids’ simulation and 3D visualization comprise an important cooperative visualization subject between fluid dynamics and computer animation. Interactions between different fluids have been widely studied in both physics and computer graphics. To further the study in both areas, cooperative research has been carried out; hence, a more authentic fluid simulation method is required. The key to a better multiphase fluid simulation result is surface extraction. Previous works usually have problems in extracting surfaces with unnatural fluctuations or detail missing. Gaps between different phases also hinder the reality of simulation. In this paper, we propose a unified surface extraction approach integrated with a modified density model for the particle-based multiphase fluid simulation. We refine the original asymmetric smoothing kernel used in the color field and address a binary tree scheme for surface extraction. Besides, we employ a multiphase fluid framework with modified density to eliminate density deviation between different fluids. With the methods mentioned above, our approach can effectively reconstruct the fluid surface for particle-based multiphase fluid simulation. It can also resolve the issue of overlaps and gaps between different fluids, which has widely existed in former methods for a long time. The experiments carried out in this paper show that our approach is able to have an ideal fluid surface condition and have good interaction effects.
Highlights
Visualized fluid simulation has been studied for a long time and with the help of both fluid dynamics and computer animation techniques
We present a novel surface extraction approach integrated with the multiphase model with modified density, which significantly improves the appearance at the multiphase interface while keeping a good fluid surface quality
We introduced an easy, yet quite effective multiphase fluid simulation approach using asymmetric surface extraction and a modified density model
Summary
Visualized fluid simulation has been studied for a long time and with the help of both fluid dynamics and computer animation techniques. Mesh-based methods can create animations with a realistic appearance, but they are time-consuming and have difficulty handling certain phenomena accurately like free surfaces, complex boundaries, and splashes. While in SPH simulation, there is a certain spatial distance between particles and particles’ properties are smoothed by the kernel function, when the static density and mass of neighbor particles are different, the physical quantity calculated using SPH approach will be biased. This problem is especially obvious at the interface of multiple phases. The binary tree strategy can suit the data-driven approach to further boost the process, which shows great potential in surface-specified enhancement that would be a promising topic for 3D visualization of fluids
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