Vertex Climax: Converting Geometry into a Non-nanifold Midsurface

The physical simulation of CAD models is usually performed using the finite elements method (FEM). If the input CAD model has one dimension that is significantly smaller than its other dimensions, it is possible to perform the physical simulation using thin shells only. While thin shells offer an enormous speed-up in any simulation, the conversion of an arbitrary CAD model into a thin shell representation is extremely difficult due to its non-uniqueness and its dependence on the simulation method used afterwards. The current state-ofthe-art algorithms in conversion voxelize the input geometry and remove voxels based on matched, predefined local neighborhood configurations until only one layer of voxels remains. In this article we discuss a new approach that can extract a midsurface of a thin solid using a kernel-based approach: In contrast to other voxel-based thinning approaches, our algorithm applies a kernel onto a binary grid. In the resulting density field, opposing surface-voxels are iteratively moved towards each other until a thin representation is obtained.

[1]  H KulkarniYogesh Development of algorithms for generating connected midsurfaces using feature information in thin walled parts , 2016 .

[2]  Dieter W. Fellner,et al.  VARIANCE ANALYSIS AND COMPARISON IN COMPUTER-AIDED DESIGN , 2012 .

[3]  Michael M. Kazhdan,et al.  Poisson surface reconstruction , 2006, SGP '06.

[4]  Hiromasa Suzuki,et al.  Non-manifold Medial Surface Reconstruction from Volumetric Data , 2010, GMP.

[5]  Yogesh H. Kulkarni,et al.  Leveraging feature generalization and decomposition to compute a well-connected midsurface , 2016, Engineering with Computers.

[6]  J. Toriwaki,et al.  Euler Number and Connectivity Indexes of a Three Dimensional Digital Picture , 2002 .

[7]  Shu-Yen Wan,et al.  A medial-surface oriented 3-d two-subfield thinning algorithm , 2001, Pattern Recognit. Lett..

[8]  Franz Aurenhammer,et al.  Straight Skeletons for General Polygonal Figures in the Plane , 1996, COCOON.

[9]  Dieter W. Fellner,et al.  Abstand: Distance Visualization for Geometric Analysis , 2008 .

[10]  Yogesh H. Kulkarni,et al.  Dimension-reduction technique for polygons , 2017, Int. J. Comput. Aided Eng. Technol..

[11]  Franz Aurenhammer,et al.  Straight skeletons for binary shapes , 2010, 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops.

[12]  Jean-Paul Watson,et al.  Non-manifold surface reconstruction from high-dimensional point cloud data , 2009, Comput. Geom..

[13]  Kálmán Palágyi,et al.  Fully Parallel 3D Thinning Algorithms Based on Sufficient Conditions for Topology Preservation , 2009, DGCI.

[14]  Tao Ju,et al.  Dual contouring of hermite data , 2002, ACM Trans. Graph..

[15]  William E. Lorensen,et al.  Marching cubes: A high resolution 3D surface construction algorithm , 1987, SIGGRAPH.

[16]  Mohsen Rezayat,et al.  Midsurface abstraction from 3D solid models: general theory, applications , 1996, Comput. Aided Des..

[17]  Marin D. Guenov,et al.  Similarity measures for mid-surface quality evaluation , 2008, Comput. Aided Des..

[18]  Koji Koyamada,et al.  Volume thinning for automatic isosurface propagation , 1996, Proceedings of Seventh Annual IEEE Visualization '96.

[19]  A. D. Sahasrabudhe,et al.  Formulating Midsurface using Shape Transformations of Form Features , 2014 .

[20]  Yoonhwan Woo,et al.  Automatic Generation of Mid-Surfaces of Solid Models by Maximal Volume Decomposition , 2009 .

[21]  Liang Sun,et al.  Automatic Decomposition of Complex thin Walled CAD Models for Hexahedral Dominant Meshing , 2016 .

[22]  Hiromasa Suzuki,et al.  Separated Medial Surface Extraction from CT Data of Machine Parts , 2006, GMP.

[24]  Trevor T. Robinson,et al.  Automatic dimensional reduction and meshing of stiffened thin-wall structures , 2013, Engineering with Computers.

[25]  A. Gomes,et al.  Healed marching cubes algorithm for non-manifold implicit surfaces , 2016, 2016 23° Encontro Português de Computação Gráfica e Interação (EPCGI).

[26]  Katsushi Ikeuchi,et al.  Non-manifold implicit surfaces based on discontinuous implicitization and polygonization , 2002, Geometric Modeling and Processing. Theory and Applications. GMP 2002. Proceedings.

[27]  Azriel Rosenfeld,et al.  Digital topology: Introduction and survey , 1989, Comput. Vis. Graph. Image Process..

[28]  Eva Eggeling,et al.  State-of-the-art Overview on 3D Model Representations and Transformations in the Context of Computer-Aided Design , 2017 .

[29]  Péter Kardos,et al.  Topology Preserving 3D Thinning Algorithms Using Four and Eight Subfields , 2010, ICIAR.

[30]  Miguel Díaz-Medina,et al.  A GPU-Based Framework for Generating Implicit Datasets of Voxelized Polygonal Models for the Training of 3D Convolutional Neural Networks , 2020, IEEE Access.

[31]  Hans-Christian Hege,et al.  Fast visualization of plane-like structures in voxel data , 2002, IEEE Visualization, 2002. VIS 2002..

[32]  Rangasami L. Kashyap,et al.  Building Skeleton Models via 3-D Medial Surface/Axis Thinning Algorithms , 1994, CVGIP Graph. Model. Image Process..