Abstract
A new geometric constraint model is described, which is hierarchical and suitable for parametric feature based modeling. In this model, different levels of geometric information are represented to support various stages of a design process. An efficient approach to parametric feature based modeling is also presented, adopting the high level geometric constraint model. The low level geometric model such as B-reps can be derived automatically from the high level geometric constraint model, enabling designers to perform their task of detailed design.
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Project supported by the National Natural Science Foundation of China.
Gao Shuming received his Ph.D. degree in computational geometry and computer graphics from Zhejiang University in 1990. He is now an Associate Professor of the State Key Lab of CAD&CG at Zhejiang University. His main research interests are solid modeling, parametric design, feature based modeling and intelligent CAD.
Peng Qunsheng received his Ph.D. in computer science from East Anglia University in 1983. He is now a Professor and the Vice Director of the State Key Lab of CAD&CG at Zhejiang University. His research interests include realistic image systhesis, 3D modeling and virtual reality.
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Gao, S., Peng, Q. Hierarchical geometric constraint model for parametric feature based modeling. J. of Comput. Sci. & Technol. 12, 193–201 (1997). https://doi.org/10.1007/BF02948969
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DOI: https://doi.org/10.1007/BF02948969