A numerical visualization technique based on the hydraulic analogy View Full Text


Ontology type: schema:ScholarlyArticle     


Article Info

DATE

2019-04

AUTHORS

Jun Liu, Jinsheng Cai, Dangguo Yang, Xiansheng Wang

ABSTRACT

The principles of experimental visualization are widely used in developing numerical visualization techniques. Numerous techniques have been created by the simulation of experimental techniques, such as dye, smoke, surface oil, and optical techniques. In this research, a numerical visualization technique is proposed by the computational modeling of the visualization process of hydraulic analogy. First, the principle and implementation of the current technique are introduced and defined, respectively. Then, flow datasets of double Mach reflection and Rayleigh–Taylor instability are used for examining the display effects of the current technique. The effects of physical parameters and specific heat ratio on the current technique are investigated. In addition, the current technique is compared with six other techniques. The comparison indicates that the current technique not only can accurately display shock waves and slip lines, but also has an advantage in stereoscopically and cleanly visualizing vortices. Furthermore, the relationship between the current technique and numerical Schlieren and Shadowgraph is discussed. The current technique is further improved for the presentation of the information of colors and illumination. Finally, the limits of the current technique are highlighted. More... »

PAGES

371-384

References to SciGraph publications

  • 1997. Creating Evenly-Spaced Streamlines of Arbitrary Density in VISUALIZATION IN SCIENTIFIC COMPUTING ’97
  • 2007. Springer Handbook of Experimental Fluid Mechanics in NONE
  • 1968-01. Double Mach reflection of strong shock waves in FLUID DYNAMICS
  • 1993. Fluid Flow Visualization in FOCUS ON SCIENTIFIC VISUALIZATION
  • 1995. Visual Simulation of Experimental Oil-Flow Visualization by Spot Noise Images from Numerical Flow Simulation in VISUALIZATION IN SCIENTIFIC COMPUTING ’95
  • Identifiers

    URI

    http://scigraph.springernature.com/pub.10.1007/s12650-018-0539-6

    DOI

    http://dx.doi.org/10.1007/s12650-018-0539-6

    DIMENSIONS

    https://app.dimensions.ai/details/publication/pub.1110422188


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