Meshing Strategy.

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Presentation transcript:

Meshing Strategy

Introduction A number of different meshing strategies can be used for dealing with “real-world” geometries: Hex dominant mesh using geometry decomposition Tet dominant mesh HexCore mesh Each approach has a trade-off between computational cost, mesh size, quality and resolving physics and the time and effort required for meshing. Mesh generation often requires more than 50% of total analysis time. Selecting the right meshing strategy is a critical task.

Selecting A Meshing Strategy The best strategy for dealing with complex geometry depends on Time available Faster tet-dominant mesh vs. crafted hex/hybrid mesh with lower cell count. Desired cell count Low cell count for resolving overall flow features vs. high cell count for greater detail HexCore mesh vs. tet-dominant mesh. Desired mesh quality What is the maximum skewness and aspect ratio you can tolerate? Physics Flow features, resolving turbulence

Hex-Dominant Meshing The geometry is decomposed into multiple meshable volumes using Boolean operations and splits. The following meshing tools are used to create a hex mesh: Map Submap Tet-Primitive Cooper A tetrahedral (tet) may be created for a complex subvolume. Example – Subvolume containing the impellers in a mixing tank. This works well for prismatic and nearly prismatic geometries. Advantage: Reduced cell count with higher mesh quality translating to faster turnaround time on simulation. Disadvantage: The decomposition may be time consuming for complex geometries. We will now see some examples of decomposition.

Decomposition – Example #1 Spherical void inside a brick Construction Create a sphere, and a brick using volume primitives. Subtract the sphere from the brick. Decomposition Create a cylinder. The cylinder diameter should be smaller than the sphere and its length extending outside the brick. Split the brick using the cylinder Create edges going diagonally over the top and bottom face of the brick and use the edges to create a diagonal face. Split the brick-like volume using this face.

Decomposition – Example #1 Source Faces Source Faces

Decomposition – Example #2 Two-pipe intersection (different radii) Construction: Create the pipes using volume primitives Create a stretched brick with a rectangular cross-section, where the side length should be between the two pipe diameters. Decomposition Split the main pipe using the brick Unite the brick cut-out with the small cylinder

Decomposition – Example #2 Source Faces

Mixing Tank Mixing tank: The mixing tank is decomposed and a hex mesh is created everywhere, with tets in the impeller volume. Tets in impeller zone

Other Examples Heat Recovery Steam Generator (HRSG) bypass duct 1 Hex Cooper 2 Tet mesh in complex sub-volume 3 Prism Mesh (Hex/Wedge Cooper) 4 Prism Mesh (Hex/Wedge Cooper) 5 Tet mesh on intermediate volume

Tet-Dominant Mesh Mostly tetrahedral mesh with some areas containing pyramid, prism and hex elements. Boundary layer prisms/hexes are grown from surfaces where wall effects (boundary layer) are important. Size functions attached to the flow volume can be used to create grading in the surface/volume mesh. Global size functions to resolve curvature and proximity. Local size functions for refinement in some areas. Automobile Manifold Tet-Dominant Mesh Using Size Functions and Boundary Layers

Axial Fan Blade A curvature size function was used to resolve the blade geometry. Boundary layer attached to the blade to resolve near-wall effects. A proximity size function was used to resolve the tip clearance gap. Fixed size functions were used to grow the surface mesh away from the blade at the hub and shroud. Tip clearance (small gap) Fan Blade Hub Shroud

HexCore Mesh HexCore meshing can dramatically lower the mesh count and improve overall quality on volumes with complexity at the surfaces. The number of offset layers, as well as size functions, can be adjusted to minimize the high-skewness tets resulting from any narrow gaps between the boundary and the HexCore. HexCore may not be compatible with some physical models and have size jumps between the tets and hex core. Flow Volume Around a Boat Hull Flow Volume Inside an Auto Manifold

Meshing for Quality Mesh quality affects the face flux calculations between cells and hence directly impacts the accuracy of the solution and ease of convergence. Avoid degenerate elements (skewness ~ 1) or high aspect ratio (~ 5) in the flow volume and high aspect ratio (~ 100) in the boundary layer. Good mesh quality depends on: Clean surface geometry and volumes not having slivers and small features close to complex surfaces. Resolving geometric features well (gaps, curvature, sharp angles etc.) Creating a good surface mesh with appropriate sizing function growth rate and size limit, edge grading, spacing etc. Close proximity of edges makes meshing difficult Face merge allows better mesh quality

Meshing for Physics Complex physics on complex geometry requires greater care in estimating the lowest mesh size required to resolve the physics and grading mesh away from that size. Some flow features can be calculated and resolved with appropriate mesh: jets, wall boundary layers, smallest eddies in LES Some flow features are functions of boundary conditions (recirculations, shocks, vortex lines etc.) and cannot be fully anticipated in size, location and shape. The objective is to generate a mesh of reasonable quality and then refine it further Remeshing in GAMBIT Solution-based adaption in FLUENT Hex mesh used for LES modeling of confined swirling coaxial jets expanding into a pipe.

Summary Selecting the right mesh and meshing strategy for real world geometries is critical in terms of meshing time and effort, and depends on considerations of available time, required mesh quality and mesh count and problem physics. A hex-dominant mesh usually requires decomposition, and is used primarily for prismatic geometries. A tet-dominant mesh is appropriate for complex geometries. Usually, size functions and boundary layers are used to grade the mesh. A HexCore mesh is used to lower the cell count and improve overall mesh quality, for flow volumes with complexity near the walls and a large core region. Several examples were shown here for each mesh type and meshing strategy.