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Enabling virtual topology for high quality CFD surface meshing of complex CAD geometry

机译:为复杂的CAD几何图形的高质量CFD表面网格化启用虚拟拓扑

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The NASA 2030 vision study identified automatic robust mesh generation from complex CAD geometry as a key bottleneck in CFD simulation. A common solution for dealing with CAD-related meshing failures is to perform some type of manual CAD clean-up prior to, or during meshing. This human intervention is an expensive bottleneck and is a serious obstacle in achieving large-scale automation. We present an alternative approach to automatic CAD clean-up that requires little change to the orginal CAD geometry and enables most surface mesh generators to "mesh over" unwanted CAD features, such as short lines, sliver faces, etc... The approach is based on grouping large numbers of CAD faces (usually tangential connected) in to "zones" which are then embedded in a curved trianglular mesh which captures the CAD surface curvature. The zones are then parameterised using a novel untangling technique that ensures (in vast majority of cases) a valid unfolded parameter space over large complex zones. Finally the large parameterised zones are meshed using a standard Delaunay meshing algortihm coupled with Jacobian correction. We present examples of high quality surface meshes produced on complex real-world CAD geometries that contain many of the common modelling features that often cause problems with today's mesh generators.
机译:NASA 2030视觉研究确定了从复杂的CAD几何体自动生成可靠的网格是CFD模拟中的关键瓶颈。处理与CAD相关的网格划分失败的常见解决方案是在划分网格之前或划分过程中执行某种类型的手动CAD清理。这种人为干预是一个昂贵的瓶颈,并且是实现大规模自动化的严重障碍。我们提出了一种自动CAD清理的替代方法,该方法几乎不需要更改原始的CAD几何形状,并使大多数曲面网格生成器可以“网格化”不需要的CAD特征,例如短线,细长面等。基于将大量CAD面(通常是切向连接)分组到“区域”中,然后将这些区域嵌入到捕获CAD表面曲率的弯曲三角网格中。然后使用新颖的解缠结技术对区域进行参数化,该技术可确保(在大多数情况下)大型复杂区域上有效的展开参数空间。最后,使用标准的Delaunay网格化算法和Jacobian校正对大型参数化区域进行网格化。我们提供了在复杂的实际CAD几何图形上生成的高质量曲面网格的示例,这些图形包含许多常见的建模功能,这些功能通常会导致当今的网格生成器出现问题。

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