Automatic modification retrieval between CAD parts

Several research works have been focused on integrating FEA (finite-elements analysis) with CAD (Computer Aided Design) over the last decade. In spite of the improvements brought by this inte- gration, research work remains to be done in order to better integrate all the operations led during the design process. Until now, the communication between CAD modules remains static. The design process involves several modifications of an initial design solution. Consequently, there is a need for more flexible communications between CAD modules through the design cycle. Some approaches have been developed in order to reduce the design process length when using FEA, and to automate the transfer of part's data from one step of the process to the next one. Automatic re-meshing is one of these approaches and it is based on automatically updating the part's mesh around modifications zones, in the case of a minor change in the part's design, without the need to re-mesh the entire part. The purpose of this paper is presenting a new tool, aiming at the improvement of automatic re-meshing procedures. It basically consists in auto- matically identifying and locating modifications between two CAD parts (typically an initial design and a modified design). A major benefit of the approach presented here is that it is completely independent of the description frame, which is made possible with the use of vector-based geometric representations.

[1]  Vincent A. Cicirello Intelligent Retrieval of Solid Models , 1999 .

[2]  Jean-Christophe Cuillière,et al.  3D automatic remeshing applied to model modification , 2000, Comput. Aided Des..

[3]  Dietmar Saupe,et al.  Tools for 3D-object retrieval: Karhunen-Loeve transform and spherical harmonics , 2001, 2001 IEEE Fourth Workshop on Multimedia Signal Processing (Cat. No.01TH8564).

[4]  Taku Komura,et al.  Topology matching for fully automatic similarity estimation of 3D shapes , 2001, SIGGRAPH.

[5]  William C. Regli,et al.  Machining feature-based comparisons of mechanical parts , 2001, Proceedings International Conference on Shape Modeling and Applications.

[6]  Debasish Dutta,et al.  Feature Based Shape Similarity Measurement for Retrieval of Mechanical Parts , 2001, J. Comput. Inf. Sci. Eng..

[7]  Bernard Chazelle,et al.  Shape distributions , 2002, TOGS.

[8]  Bernard Chazelle,et al.  Matching 3D models with shape distributions , 2001, Proceedings International Conference on Shape Modeling and Applications.

[9]  Sungchan Kim,et al.  Similarity Comparison of Mechanical Parts , 2005 .

[10]  Ryutarou Ohbuchi,et al.  Shape-similarity search of 3D models by using enhanced shape functions , 2003, Proceedings of Theory and Practice of Computer Graphics, 2003..

[11]  Philippe Serré,et al.  The TTRSs : 13 Constraints for Dimensioning and Tolerancing , 1998 .

[12]  Les A. Piegl,et al.  The NURBS Book , 1995, Monographs in Visual Communication.

[13]  Jean-Christophe Cuillière,et al.  Automatic mesh pre-optimization based on the geometric discretization error , 2000 .

[14]  Satyandra K. Gupta,et al.  A Survey of Shape Similarity Assessment Algorithms for Product Design and Manufacturing Applications , 2003, J. Comput. Inf. Sci. Eng..

[15]  Dietmar Saupe,et al.  3D Model Retrieval with Spherical Harmonics and Moments , 2001, DAGM-Symposium.

[16]  Philippe Serré,et al.  Analysis of functional geometrical specification , 2003 .

[17]  Michael E. Mortenson,et al.  Geometric Modeling , 2008, Encyclopedia of GIS.

[18]  Karthik Ramani,et al.  Three-dimensional shape searching: state-of-the-art review and future trends , 2005, Comput. Aided Des..