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Fluent’s Ted Blacker Wins the Meshing Maestro Prize

 

Dipankar Choudhury, Chief Technology Officer, Fluent Inc.


Ted Blacker and his winning surface mesh
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The Tenth International Meshing Roundtable conference was held last fall in Newport Beach, CA. One of the highlights of this annual meeting is the naming of the Meshing Maestro, a coveted award that is given to a conference poster presenter who has generated a mesh that exhibits innovative technology, and is both eye-catching and technically sound. Ted Blacker, the project leader for GAMBIT, was last year’s winner of this prestigious award. His poster also won the “Best Technical Poster” award.

The clown grid, one of the examples submitted by Blacker, made use of technology that was developed at Fluent Inc. by Blacker and his colleagues Richard Smith, Yongheng Shao, and Jin Zhu. In particular, new advances in mesh density controls were used that are now available in GAMBIT. These controls, called size functions, are aimed at eliminating automation obstacles during meshing, particularly when generating a tetrahedral mesh. Historically, most volume meshing problems are related to a bad surface mesh. The problematic surface mesh typically doesn’t capture the geometry well, or isn’t sized appropriately for thin regions of the geometry. It is also particularly important in CFD analysis that the gradation of the mesh be tightly controlled. This control limits transition rates from small to large elements, allowing capture of the boundary layer phenomena as well as control over solution accuracy.

Although density control is not new in the meshing community, this technique is unique in how grading controls radiate or propagate to surrounding regions in a tightly controlled manner. For example, the eyebrows on the clown have a tight curvature, which is captured through a curvature-based size function. Not only is the eyebrow adjusted, however, but portions of the geometry in close proximity are included in the sizing effects as well. The forehead near the eyebrow attachment and even the interior of the eyelid show a graceful, controlled gradation of size. This ensures that the volumetric tet mesher can successfully fill this region with wellshaped elements, with minimal intervention by the user. A simple size function was defined to capture the curvature and set the gradation rate. This size function was attached to the volume and the meshing initiated. The software then generated the needed octree background grid and automatically guided the meshing based on these controls. (An octree is a hierarchical structure used in certain grid generation algorithms. It begins with a coarse background grid that is recursively divided until the desired grid density is achieved.)

The technical advance that is central to the new controls in GAMBIT is accomplished by imposing individual size functions (such as the curvature of individual surfaces) on the underlying octree-based background grid. The octree depth (the number of levels in the hierarchy, which corresponds to the grid density) adjusts automatically to capture regions of importance in the size function. With the aid of the octree background grid, the size functions can then radiate beyond the regions where they are defined to accomplish the control and effects as desired. Three types of size functions are available, and these can be specified individually by the user. The edge, face and volume meshing tools then obtain sizing information directly from the background in a highly efficient manner.


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