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A hybrid model for smoke simulation

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Abstract

A smoke simulation approach based on the integration of traditional particle systems and density functions is presented in this paper. By attaching a density function to each particle as its attribute, the diffusion of smoke can be described by the variation of particles’ density functions, along with the effect on airflow by controlling particles’ movement and fragmentation. In addition, a continuous density field for realistic rendering can be generated quickly through the look-up tables of particle’s density functions. Compared with traditional particle systems, this approach can describe smoke diffusion, and provide a continuous density field for realistic rendering with much less computation. A quick rendering scheme is also presented in this paper as a useful preview tool for tuning appropriate parameters in the smoke model.

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References

  1. Nishita T, Miyawaki Y, Nakamae E. A shading model for atmospheric scattering considering luminous intensity distribution of light source.ACM SIGGRAPH Computer Graphics, 1987, 21(4): 303–310.

    Article  Google Scholar 

  2. Klassen R V. Modeling the effect of the atmosphere on light.ACM Transactions on Graphics, 1987, 6(3): 215–237.

    Article  Google Scholar 

  3. Ebert D S, Parent R E. Rendering and animation of gaseous phenomena by combining fast volume and scanline A-buffer techniques.ACM SIGGRAPH Computer Graphics, 1990, 24(4): 357–366.

    Article  Google Scholar 

  4. Peitgen H O, Saupe D. The Science of Fractal Images. Springer Verlag, Berlin, Heidelberg, New York, 1988.

    MATH  Google Scholar 

  5. Sims K. Particle animation and rendering using data parallel computation.ACM SIGGRAPH Computer Graphics, 1990, 24(4): 405–413.

    Article  Google Scholar 

  6. Wejchert J, Haumann D. Animation aerodynamics.ACM SIGGRAPH Computer Graphics, 1991, 25(4): 19–22.

    Article  Google Scholar 

  7. Shinya M, Fournier A. Stochastic motion-motion under the influence of wind. InProceedings of Eurographics’92, 1992, pp. 119–128.

  8. Sakas G. Modeling and animating turbulent gaseous phenomena using spectral synthesis.The Visual Computer, 1993, 9(4): 200–212.

    Article  Google Scholar 

  9. Stam J, Fiume E. Turbulent wind fields for gaseous phenomena. InProc. SIGGRAPH’93, 1993, pp.369–376.

  10. Rudolf M J, Raczkowski J. Modeling the motion of dense smoke in the wind field.Computer Graphics Forum, 2000, 19(3): 21–29.

    Article  Google Scholar 

  11. Foster N, Metaxas D. Modeling the motion of a hot, turbulent gas. InProc. SIGGRAPH’97, 1997, pp.181–188.

  12. Stam J. Stable fluids. InProc. SIGGRAPH’99, 1999, pp.121–128.

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Authors and Affiliations

  1. Institute of Artificial Intelligence, Department of Computer Science and Engineering, Zhejiang University, 310027, Hangzhou, P.R. China

    Tong Ruofeng & Dong Jinxiang

Authors
  1. Tong Ruofeng
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  2. Dong Jinxiang
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Corresponding author

Correspondence to Tong Ruofeng.

Additional information

Supported by the Zhejiang Provincial Natural Science Foundation of China under Grant No.6001107.

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Tong, R., Dong, J. A hybrid model for smoke simulation. J. Comput. Sci. & Technol. 17, 512–516 (2002). https://doi.org/10.1007/BF02943292

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  • DOI: https://doi.org/10.1007/BF02943292

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