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A Computational Framework For Generating Sizing Function In Assembly Meshing

Quadros, William Roshan, Ved Vyas, Mike Brewer, Steven James Owen, Kenji Shimada

Proceedings, 14th International Meshing Roundtable, Springer-Verlag, pp.55-72, September 11-14 2005

IMR
PROCEEDINGS

14th International Meshing Roundtable
San Diego, CA, USA
September 11-14, 2005

William Roshan Quadros, Ved Vyas, Kenji Shimada
Dept. of Mechanical Engineering, Carnegie Mellon University, Pittsburgh, PA, 15213, USA

Mike Brewer, Steven James Owen
Sandia National Laboratories, Albuquerque, NM, 87185, USA

Abstract
This paper proposes a framework for generating sizing function in meshing assemblies. Size control is crucial in obtaining a high-quality mesh with a reduced number of elements, which decreases computational time and memory use during mesh generation and analysis. This proposed framework is capable of generating a sizing function based on geometric and non-geometric factors that influence mesh size. The framework consists of a background octree grid for storing the sizing function, a set of source entities for providing sizing information based on geometric and non-geometric factors, and an interpolation module for calculating the sizing on the background octree grid using the source entities. Source entities are generated by performing a detailed systematic study to identify all the geometric factors of an assembly. Disconnected skeletons are extracted and used as tools to measure 3D-proximity and 2D-proximity, which are two of the geometric factors. Non-geometric factors such as user-defined size and pre-meshed entities that influence size are also addressed. The framework is effective in generating a variety of meshes of industry models with less computational cost.

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