• Title of article

    A novel coupled level set and volume of fluid method for sharp interface capturing on 3D tetrahedral grids

  • Author/Authors

    Lv، نويسنده , , Xin and Zou، نويسنده , , Qingping and Zhao، نويسنده , , Yong and Reeve، نويسنده , , Dominic، نويسنده ,

  • Issue Information
    روزنامه با شماره پیاپی سال 2010
  • Pages
    32
  • From page
    2573
  • To page
    2604
  • Abstract
    We present a new three-dimensional hybrid level set (LS) and volume of fluid (VOF) method for free surface flow simulations on tetrahedral grids. At each time step, we evolve both the level set function and the volume fraction. The level set function is evolved by solving the level set advection equation using a second-order characteristic based finite volume method. The volume fraction advection is performed using a bounded compressive normalized variable diagram (NVD) based scheme. The interface is reconstructed based on both the level set and the volume fraction information. The novelty of the method lies in that we use an analytic method for finding the intercepts on tetrahedral grids, which makes interface reconstruction efficient and conserves volume of fluid exactly. Furthermore, the advection of volume fraction makes use of the NVD concept and switches between different high resolution differencing schemes to yield a bounded scalar field, and to preserve both smoothness and sharp definition of the interface. The method is coupled to a well validated finite volume based Navier–Stokes incompressible flow solver. The code validation shows that our method can be employed to resolve complex interface changes efficiently and accurately. In addition, the centroid and intercept data available as a by-product of the proposed interface reconstruction scheme can be used directly in near-interface sub-grid models in large eddy simulation.
  • Keywords
    Level Set , Finite volume method , free surface , VOF , Tetrahedral grid
  • Journal title
    Journal of Computational Physics
  • Serial Year
    2010
  • Journal title
    Journal of Computational Physics
  • Record number

    1482207