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Green Image
Issue No. 11 - November (2011 vol. 17)
ISSN: 1077-2626
pp: 1574-1586
C. D. Hansen , Sci. Comput. & Imaging Inst., Univ. of Utah, Salt Lake City, UT, USA
Patrick S. McCormick , Los Alamos Nat. Labs., Los Alamos, NM, USA
S. Shankar , One Gateway Center, TerraSim, Inc., Pittsburgh, PA, USA
V. Pegoraro , Lehrstuhl fur Computergraphik, Univ. des Saarlandes, Saarbrucken, Germany
C. Brownlee , Sci. Comput. & Imaging Inst., Univ. of Utah, Salt Lake City, UT, USA
ABSTRACT
Understanding fluid flow is a difficult problem and of increasing importance as computational fluid dynamics (CFD) produces an abundance of simulation data. Experimental flow analysis has employed techniques such as shadowgraph, interferometry, and schlieren imaging for centuries, which allow empirical observation of inhomogeneous flows. Shadowgraphs provide an intuitive way of looking at small changes in flow dynamics through caustic effects while schlieren cutoffs introduce an intensity gradation for observing large scale directional changes in the flow. Interferometry tracks changes in phase-shift resulting in bands appearing. The combination of these shading effects provides an informative global analysis of overall fluid flow. Computational solutions for these methods have proven too complex until recently due to the fundamental physical interaction of light refracting through the flow field. In this paper, we introduce a novel method to simulate the refraction of light to generate synthetic shadowgraph, schlieren and interferometry images of time-varying scalar fields derived from computational fluid dynamics data. Our method computes physically accurate schlieren and shadowgraph images at interactive rates by utilizing a combination of GPGPU programming, acceleration methods, and data-dependent probabilistic schlieren cutoffs. Applications of our method to multifield data and custom application-dependent color filter creation are explored. Results comparing this method to previous schlieren approximations are finally presented.
INDEX TERMS
interferometry, computational fluid dynamics, computer graphic equipment, coprocessors, data visualisation, schlieren approximations, physically based interactive flow visualization, schlieren experimental techniques, interferometry experimental techniques, fluid flow, computational fluid dynamics, shadowgraph, flow dynamics, time varying scalar fields, GPGPU programming, acceleration methods, data dependent probabilistic schlieren cutoffs, application dependent color filter creation, Optical interferometry, Optical filters, Refractive index, Image color analysis, Laser beams, Data visualization, Light sources, flow visualization., Scalar field data, GPUs and multicore architectures
CITATION
C. D. Hansen, Patrick S. McCormick, S. Shankar, V. Pegoraro, C. Brownlee, "Physically-Based Interactive Flow Visualization Based on Schlieren and Interferometry Experimental Techniques", IEEE Transactions on Visualization & Computer Graphics, vol. 17, no. , pp. 1574-1586, November 2011, doi:10.1109/TVCG.2010.255
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