• DocumentCode
    2338847
  • Title

    Topology-based flow feature extraction on 3D vector fields

  • Author

    Wang Kangjian ; Zhou Yongxia ; Yan Lanlan ; Zou Jianfeng

  • Author_Institution
    Coll. of Inf. Eng., China Jiliang Univ., Hangzhou, China
  • fYear
    2009
  • fDate
    25-27 May 2009
  • Firstpage
    2443
  • Lastpage
    2447
  • Abstract
    A 3D vector field flow topology extraction algorithm based on critical point analysis is presented for CFD (computational fluid dynamics) data sets. It operates on curvilinear, structured grids, including large multi-zone grids. In many CFD computations, no-slip boundary conditions are imposed on the velocity field. On these boundaries, the fluid velocity vector is zero. The algorithm analyzes this special case by examining the skin friction field. Using glyphs to locate critical points, we can interactively mark vortex cores. This is drawn by selecting glyphs that indicate spiraling flow and integrating a streamline in the direction of the eigenvector associated with the real eigenvalue. The test results show clearly the fluid flow critical features.
  • Keywords
    computational fluid dynamics; data visualisation; eigenvalues and eigenfunctions; feature extraction; flow visualisation; 3D vector field; CFD; computational fluid dynamics; critical point analysis; curvilinear grid; eigenvalue; eigenvector; fluid flow; glyphs selection; multizone grid; no-slip boundary condition; skin friction field; spiraling flow; structured grid; topology-based flow feature extraction; Algorithm design and analysis; Boundary conditions; Computational fluid dynamics; Data mining; Eigenvalues and eigenfunctions; Feature extraction; Friction; Skin; Testing; Topology; feature extraction; topology analysis; vector field visualization;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Industrial Electronics and Applications, 2009. ICIEA 2009. 4th IEEE Conference on
  • Conference_Location
    Xi´an
  • Print_ISBN
    978-1-4244-2799-4
  • Electronic_ISBN
    978-1-4244-2800-7
  • Type

    conf

  • DOI
    10.1109/ICIEA.2009.5138641
  • Filename
    5138641