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Methodology for automatic recovering of 3D partitions from unstitched faces of non-manifold CAD models
| Content Provider | Hyper Articles en Ligne (HAL) |
|---|---|
| Author | Mikchevitch, Alexei Pernot, Jean-Philippe |
| Abstract | Data exchanges between different software are currently used in industry to speed up the preparation of digital prototypes for Finite Element Analysis (FEA). Unfortunately, due to data loss, the yield of the transfer of manifold models rarely reaches 1. In the case of non-manifold models, the transfer results are even less satisfactory. This is particularly true for partitioned 3D models: during the data transfer based on the well-known exchange formats, all 3D partitions are generally lost. Partitions are mainly used for preparing mesh models required for advanced FEA: mapped meshing, material separation, definition of specific boundary conditions, etc. This paper sets up a methodology to automatically recover 3D partitions from exported non-manifold CAD models in order to increase the yield of the data exchange. Our fully automatic approach is based on three steps. First, starting from a set of potentially disconnected faces, the CAD model is stitched. Then, the shells used to create the 3D partitions are recovered using an iterative propagation strategy which starts from the so-called manifold vertices. Finally, using the identified closed shells, the 3D partitions can be reconstructed. The proposed methodology has been validated on academic as well as industrial examples. |
| Ending Page | 12 |
| Page Count | 12 |
| Starting Page | 1 |
| File Format | |
| DOI | 10.1007/s00366-013-0325-y |
| Language | English |
| Publisher Date | 2013-09-01 |
| Access Restriction | Open |
| Subject Keyword | CAD modelling data exchange non-manifold models 3D partitions info spi Computer Science [cs] Computer Aided Engineering Modeling and Simulation Engineering Sciences [physics] Mechanics [physics.med-ph] Mechanical engineering [physics.class-ph] |
| Content Type | Text |
| Resource Type | Article |
