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ISSN: 0148-7191, e-ISSN: 2688-3627
Published April 03, 2018 by SAE International in United States
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Autonomous cars already exist, why should anybody these days spend manual time on mesh preparation? This is a task for a machine, not for a human being. In this session, we will show a one-click way to prepare the mesh for multi-bodies or complex topological objects for 3D printing. The underlying software is already in use for paint shop applications: here it prepares a body in white starting from a CAD geometry fully automatically with 5-8 hours computational time on a desktop machine, while requiring less than 15 minutes of manual work. As an input, tessellated data can be imported from several sources including automatic interfaces allowing to extract the data of multi-bodies from CAD. However, these data are often defective and not manifold. In addition, the describing surface is not represented in an exact way. The only exact information one can rely on at this stage is the position of the vertices of the mesh: they are located directly on the surface. The edges and areas of the triangles may deviate from the original surface. Thus, the vertices are kept and the rest is dismissed or enhanced if necessary. The underlying software uses several techniques to repair, connect and maintain the surface geometry by not only keeping the boundary representation exact but even by enhancing its quality. A volumetric (tetrahedral, hexahedral or hybrid) mesh is then automatically and efficiently constructed from the repaired surface mesh if required. This presentation reveals the techniques enabling the above described functionalities.
CitationMokriš, D., Mangold, J., and Schifko, M., "Autonomous Meshing," SAE Technical Paper 2018-01-1386, 2018, https://doi.org/10.4271/2018-01-1386.
- Ayuso , L. , H. Jordan , T. Fahringer , B. Kornberger , et al Euro-Par 2014: Revised Selected Papers 2014 24 35
- Schifko , M. , B. Jüttler , B. Kornberger Proc. Spring Conference on Computer Graphics 2010 187 194
- Schifko , M 2011
- Attene , M. , Campen , M. , and Kobbelt , L. Polygon Mesh Repairing: An Application Perspective ACM Computing Surveys (CSUR) 45 2 15:1 1533 2013
- Du , Q. , Faber , V. , and Gunzburger , M. Centroidal Voronoi tessellations: Applications and Algorithms SIAM Review 41 4 637 676 1999
- Du , Q. and Gunzburger , M. Grid Generation and Optimization based on Centroidal Voronoi tessellations Applied Mathematics and Computation 133 2 591 607 2002
- Alliez , P. , De Verdire , E.C. , Devillers , O. , and Isenburg , M. Isotropic Surface Remeshing Shape Modeling International 49 58 2003
- Du , Q. and Wang , D. Anisotropic Centroidal Voronoi tessellations and Their Applications SIAM Journal on Scientific Computing 26 3 737 761 2005
- Alliez , P. , Cohen-Steiner , D. , Devillers , O. , Lévy , B. , and Desbrun , M. Anisotropic Polygonal Remeshing ACM Transactions on Graphics (TOG) 22 3 485 493 2003
- Frey , P. , P-L. George Mesh Generation 2000
- Bern , M. and Eppstein , D. Mesh Generation and Optimal Triangulation Computing in Euclidean Geometry 4 47 123 1995
- Si , H. TetGen, a Delaunay-based Quality Tetrahedral Mesh Generator ACM Transactions on Mathematical Software (TOMS) 41 2 11:1 1136 2015
- George , P.L. and Seveno , E. The Advancing Front Mesh Generation Method Revisited International Journal for Numerical Methods in Engineering 37 21 3605 3619 1994
- Schöberl , J. NETGEN An Advancing front 2D/3D-mesh Generator based on Abstract Rules Computing and Visualization in Science 1 1 41 52 1997