Animation of reactive gaseous fluids through chemical kinetics

Ihm, Insung; Kang, Byungkwon; Cha, Deukhyun

doi:10.1145/1028523.1028550

Cited by 21 publications

(14 citation statements)

References 29 publications

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“…Each component di of D represents the volume ratio of fluid i, and the sum of all components in one vector equals one. This representation is similar to the volume of fluid method [Kang et al 2010;Ihm et al 2004] used in multiple fluid simulation. D values are advected in the system on both the global network and local regions.…”

Section: Materials Transportationmentioning

confidence: 99%

Sketch-based Dynamic Illustration of Fluid Systems

Zhu¹,

Iwata

Haraguchi

et al. 2011

Proceedings of the 2011 SIGGRAPH Asia Conference

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This paper presents a lightweight sketching system that enables interactive illustration of complex fluid systems. Users can sketch on a 2.5-dimensional (2.5D) canvas to design the shapes and connections of a fluid circuit. These input sketches are automatically analyzed and abstracted into a hydraulic graph, and a new hybrid fluid model is used in the background to enhance the illustrations. The system provides rich simple operations for users to edit the fluid system incrementally, and the new internal flow patterns can be simulated in real time. Our system is used to illustrate various fluid systems in medicine, biology, and engineering. We asked professional medical doctors to try our system and obtained positive feedback from them.

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Section: Materials Transportationmentioning

confidence: 99%

Sketch-based Dynamic Illustration of Fluid Systems

Zhu¹,

Iwata

Haraguchi

et al. 2011

Proceedings of the 2011 SIGGRAPH Asia Conference

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“…Chemical reaction phenomena, like fire and flame, explosion, and catalysis, are abundant in the real world, and are important elements that are routinely generated in the special effects industry. In order to reproduce such reactive fluids, Ihm et al 15 explored the theory of chemical kinetics for effectively simulating reactive gases containing multiple reacting species. While generated several interesting fluid effects of reacting gases, the method often required a substantial demand for memory space, especially when a complex reaction mechanism involving many chemical species was simulated.…”

Section: Related Workmentioning

confidence: 99%

Chemical kinetics‐assisted, path‐based smoke simulation

Jang¹,

Ihm

2009

Computer Animation & Virtual

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Despite recent successes in physics-based fluid animation, generating desired fluid flow with intuitive control of its motion still remains a challenging problem in the special effects industry. In this paper, we propose a novel approach for path-based smoke simulation that explores the theory of chemical kinetics in an aim to provide a useful animation tool. By describing intended smoke effects through chemical reaction equations and adjusting their parameters, our method allows to easily create various interesting smoke effects that were often hard to get with previous techniques. To demonstrate the effectiveness of the presented animation framework, we describe several examples of path-based smoke animations, generated with easily understandable reaction equations and control parameters. Copyright

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“…Iham et al [8] showed that by coupling reaction effects to the velocity field, explosion effects can be simulated. Unlike our work, their focus was on explosions, not pattern formation.…”

Section: Previous Workmentioning

confidence: 99%

Stable advection‐reaction‐diffusion with arbitrary anisotropy

Kim

2007

Computer Animation & Virtual

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Turing first theorized that many biological patterns arise through the processes of reaction and diffusion [1]. Subsequently, reaction-diffusion systems have been studied in many fields, including computer graphics. We first show that for visual simulation purposes, reaction-diffusion equations can be made unconditionally stable using a variety of straightforward methods. Second, we propose an anisotropy embedding that significantly expands the space of possible patterns that can be generated. Third, we show that by adding an advection term, the simulation can be coupled to a fluid simulation to produce visually appealing flows. Fourth, we couple fast marching methods to our anisotropy embedding to create a painting interface to the simulation. Unconditional stability to maintained throughout, and our system runs at interactive rates. Finally, we show that on the Cell processor, it is possible to implement reaction-diffusion on top of an existing fluid solver with no significant performance impact.

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Animation of reactive gaseous fluids through chemical kinetics

Cited by 21 publications

References 29 publications

Sketch-based Dynamic Illustration of Fluid Systems

Sketch-based Dynamic Illustration of Fluid Systems

Chemical kinetics‐assisted, path‐based smoke simulation

Stable advection‐reaction‐diffusion with arbitrary anisotropy

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