The Community for Technology Leaders
RSS Icon
Issue No.06 - Nov.-Dec. (2012 vol.14)
pp: 80-86
Grzegorz K. Karch , University of Stuttgart
Filip Sadlo , University of Stuttgart
Daniel Weiskopf , University of Stuttgart
Charles D. Hansen , University of Utah
Guo-Shi Li , Exxon Mobil Upstream Research Company
Thomas Ertl , University of Stuttgart
Computational dye advection helps engineers understand fluid dynamics simulations by providing interactive tools that mimic physical experiments.
scientific computing, computational flow visualization, dye-based flow, flow tracers, computational dye advection, fluid dynamics
Grzegorz K. Karch, Filip Sadlo, Daniel Weiskopf, Charles D. Hansen, Guo-Shi Li, Thomas Ertl, "Dye-Based Flow Visualization", Computing in Science & Engineering, vol.14, no. 6, pp. 80-86, Nov.-Dec. 2012, doi:10.1109/MCSE.2012.118
1. A. Smits and T. Lim, Flow Visualization: Techniques and Examples, Imperial College Press, 2000.
2. M. van Dyke, An Album of Fluid Motion, Parabolic Press, 1982.
3. M.M. Alam and Y. Zhou, “Strouhal Numbers, Forces, and Flow Structures around Two Tandem Cylinders of Different Diameters,” J. Fluids and Structures, vol. 24, no. 4, 2008, pp. 505–526.
4. C. Johnson and C. Hansen, Visualization Handbook, Elsevier, 2005.
5. D. Weiskopf, GPU-Based Interactive Visualization Techniques, Mathematics and Visualization, Springer, 2006.
6. B. Becker, D. Lane, and N. Max, “Unsteady Flow Volumes,” Proc. IEEE Conf. Visualization, IEEE CS, 1995, pp. 329–335.
7. D. Weiskopf et al., “Particle and Texture-Based Spatiotemporal Visualization of Time-Dependent Vector Fields,” Proc. IEEE Conf. Visualization, IEEE CS, 2005, pp. 639–646.
8. B. Jobard, G. Erlebacher, and M.Y. Hussaini, “Lagrangian-Eulerian Advection of Noise and Dye Textures for Unsteady Flow Visualization,” IEEE Trans. Visualization and Computer Graphics, vol. 8, no. 3, 2002, pp. 211–222.
9. R.S. Laramee et al., “The State of the Art in Flow Visualization: Dense and Texture-Based Techniques,” Computer Graphics Forum, vol. 23, no. 2, 2004, pp. 203–221.
10. D. Weiskopf, “Dye Advection without the Blur: A Level-Set Approach for Texture-Based Visualization of Unsteady Flow,” Computer Graphics Forum, vol. 23, no. 3, 2004, pp. 479–488.
11. G.-S. Li, X. Tricoche, and C.D. Hansen, “Physically-Based Dye Advection for Flow Visualization,” Computer Graphics Forum, vol. 27, no. 3, 2008, pp. 727–734.
12. P. Colella and P.R. Woodward, “The Piecewise Parabolic Method (PPM) for Gas-Dynamical Simulations,” J. Computational Physics, vol. 54, no. 1, 1984, pp. 174–201.
13. G.K. Karch et al., “Visualization of Advection-Diffusion in Unsteady Fluid Flow,” Computer Graphics Forum, vol. 31, no. 3, 2012, pp. 1105–1114.
14. X.-D. Liu, S. Osher, and T. Chan, “Weighted Essentially Non-Oscillatory Schemes,” J. Computational Physics, vol. 115, no. 1, 1994, pp. 200–212.
15. G.-S. Jiang and C.-W. Shu, “Efficient Implementation of Weighted ENO Schemes,” J. Computational Physics, vol. 126, no. 1, 1996, pp. 202–228.
15 ms
(Ver 2.0)

Marketing Automation Platform Marketing Automation Tool