Analytical integration of 0th, 2nd, and 4th order polynomial filtering functions on unstructured grid for dispersed phase fraction computation in an Euler–Lagrange approach

Abstract This paper presents an analytical approach to evaluate the volume integrals emerging during dispersed phase fraction computation in Lagrangian–Eulerian methods. It studies a zeroth, second, and fourth order polynomial filtering function in test cases featuring structured and unstructured grids. The analytical integration is enabled in three steps. First, the divergence theorem is applied to transform the volume integral into surface integrals over the volumes’ boundaries. Secondly, the surfaces are projected alongside the first divergence direction. Lastly, the divergence theorem is applied for the second time to transform the surface integrals into line integrals. We propose a generic strategy and simplifications to derive an analytical description of the complex geometrical entities such as non-planar surfaces. This strategy enables a closed solution to the line integrals for polynomial filtering functions. Furthermore, this paper shows that the proposed approach is suitable to handle unstructured grids. A sine wave and Gaussian filtering function is tested and the fourth order polynomial is found to be a good surrogate for the sine wave filtering function as no expensive trigonometric evaluations are necessary.

[2]  S. Subramaniam Lagrangian-Eulerian methods for multiphase flows , 2013 .

[3]  Wolfgang A. Wall,et al.  An accurate, robust, and easy-to-implement method for integration over arbitrary polyhedra: Application to embedded interface methods , 2014, J. Comput. Phys..

[4]  Ng Niels Deen,et al.  Numerical Simulation of Dense Gas-Solid Fluidized Beds: A Multiscale Modeling Strategy , 2008 .

[5]  Lotfi A. Zadeh,et al.  Fuzzy Sets , 1996, Inf. Control..

[6]  J. Banavar,et al.  Computer Simulation of Liquids , 1988 .

[7]  T. B. Anderson,et al.  Fluid Mechanical Description of Fluidized Beds. Equations of Motion , 1967 .

[8]  P. Morse,et al.  Methods of theoretical physics , 1955 .

[9]  Daniel J. Holland,et al.  Novel fluid grid and voidage calculation techniques for a discrete element model of a 3D cylindrical fluidized bed , 2014, Comput. Chem. Eng..

[10]  Hassan Abbas Khawaja,et al.  Quantitative Analysis of Accuracy of Voidage Computations in CFD-DEM Simulations , 2012 .

[11]  Ng Niels Deen,et al.  Multi-scale modeling of dispersed gas-liquid two-phase flow , 2004 .

[12]  Gautam Dasgupta,et al.  Integration within Polygonal Finite Elements , 2003 .

[13]  I. Zun,et al.  A three-dimensional particle tracking method for bubbly flow simulation , 1997 .

[14]  Abdallah S. Berrouk,et al.  Accurate void fraction calculation for three-dimensional discrete particle model on unstructured mesh , 2009 .

[15]  Niels G. Deen,et al.  Parallelization of an Euler-Lagrange model using mixed domain decomposition and a mirror domain technique: Application to dispersed gas-liquid two-phase flow , 2006, J. Comput. Phys..

[16]  Wolfgang A. Wall,et al.  Quadrature schemes for arbitrary convex/concave volumes and integration of weak form in enriched partition of unity methods , 2013 .

[17]  Carl Wassgren,et al.  An exact method for determining local solid fractions in discrete element method simulations , 2010 .

[18]  A. Kitagawa,et al.  Two-way coupling of Eulerian–Lagrangian model for dispersed multiphase flows using filtering functions , 2001 .