Sashikumar Venkataraman
ABSTRACT
This paper describes a systematic algorithm for reconstructing the feature volume from a set of faces in a solid model. This algorithm serves a dual purpose. Firstly, the algorithm generates the feature volume by extending or contracting the neighboring faces of the set of faces. Secondly, the algorithm may also be used to remove (or suppress) the face-set from the model. The algorithm uses a divide-and-conquer strategy and geometric cues to identify the correct topology. It robustly handles a wide class of feature volumes with complex topology and geometry. A simplified version of the algorithm has also been presented to handle volumes resulting from 2.5D features.
- Shah, J.J., Manyla, M. amd Nau, D., eds. Advances in Feature Based Manufacturing, Elsevier/North-Holland, Amsterdam. 1994 Google Scholar
Digital Library
- Ji Qiang, Marefat M., Machinable Interpretation of CAD Data for Manufacturing. ACM Computing surveys, 1997. 24(3), 264--311 Google ScholarDigital Library
- Tseng, Y. J. and Joshi, S. B., Recognizing multiple interpretations of interacting machining features. Computer Aided Design, 1994. Vol. 26(9), 667--688Google Scholar
- Dong, X. and M. Wozny, "Feature Volume Creation for Computer Aided Process Planning," in book Geometric Modeling for Product Engineering, Elsevier Science Publishers, B.V. (North-Holland), Edited by M. Wozny, J. Turner and K. Preiss, pp. 208--223Google Scholar
- Karinthi, R., and D. Nau, "An Approach to address Geometric Feature Interactions in Concurrent Design", Proc. ASME Computers in Engineening Conference, Boston, August 5-8, 1990, Vol. 1, pp. 243--250Google Scholar
- Sashikumar V., Sohoni M., Graph based framework for recognizing user defined features. ACM Symposium on Solid Modeling and Applications, June 2001, Ann Arbor, Michigan Google ScholarDigital Library
- Nalluri Rao SRP, Form feature generation model for feature technology, PhD thesis, Department of Mechanical Engineering, Indian Institute of Science, Bangalore, India, 1994Google Scholar
- Sakurai, H. and D. Gossard, "Recognizing Shape Features in Solid Models," IEEE Computer Graphics & Applications, September, 1990, pp. 22--32 Google ScholarDigital Library
- Henderson, M. R., Extraction of Feature Information from Three dimensional CAD Data, Ph.D. Dissertation, Purdue University, May 1984Google Scholar
- Vandenbrande, J. and A. A. G. Requicha, "Spatial Reasoning for Automatic Recognition of Interacting Form Features," Proc. ASME Computers in Engineering Conference, 1990, pp. 251--256Google Scholar
- Dong, X. and M. Wozny, "A method for generating volumetric features from surface features," ACM Symposium on Solid Modeling and Applications, 1991 Google ScholarDigital Library
- Sakurai, H. and D. Gossard, "Shape Feature Recognition from 3D Solid Models," Proc. ASME Computers in Engineening Conference, San Francisco, August 1-4, 1988, Vol. 1, pp. 515--519Google Scholar
- Sandiford D., Hinduja S., Construction of feature volumes using intersection of adjacent surfaces. Computer Aided Design,2001. Vol 33, pp 455--473Google Scholar
- Mšntylš, M. (1988). An Introduction to Solid Modeling. Principles of Computer Science. Computer Science Press, Maryland, U.S.A. Google ScholarDigital Library
- Parasolid, Functional Description Manual, Version 11, Unigraphics Solutions, (www.parasolid.com) May 2000Google Scholar
- ACIS Geometric Modeller, Format Manual, Version 6.0, Spatial Technologies, (www.spatial.com) June 2000Google Scholar
- Feature Recognition Library, Version 11, Geometric Software Solutions Limited, (www.geometricsoftware.com) October 2001Google Scholar
Index Terms
- Reconstruction of feature volumes and feature suppression
Recommendations
2D facial expression recognition via 3D reconstruction and feature fusion
This paper proposed a method for facial expression recognition.In proposed method, facial depth has been added to facial texture for feature extraction.We demonstrated that adding the facial depth to feature extraction is effective.The 3DH-LLBP is ...
Feature suppression based CAD mesh model simplification
Dynamic simulation and high quality FEA mesh generation need the CAD mesh model to be simplified, that is, suppressing the detailed features on the mesh without any changes to the rest. However, the traditional mesh simplification methods for graphical ...
A graph-based framework for feature recognition
SMA '01: Proceedings of the sixth ACM symposium on Solid modeling and applicationsThis paper discusses a feature recognition system for recognizing User Defined Features (UDF). The feature recognizer uses a graph-based approach to represent and recognize features. An attributed face adjacency graph consisting of topological and ...
Comments