Graph-based heuristics for recognition of machined features from a 3D solid model
Computer-Aided Design
Three-dimensional shape pattern recognition using vertex-edge graphs
Computer-Aided Design
SIGGRAPH '92 Proceedings of the 19th annual conference on Computer graphics and interactive techniques
SIGGRAPH '93 Proceedings of the 20th annual conference on Computer graphics and interactive techniques
Multiresolution surface modeling based on hierarchical triangulation
Computer Vision and Image Understanding
SIGGRAPH '96 Proceedings of the 23rd annual conference on Computer graphics and interactive techniques
Surface simplification using quadric error metrics
Proceedings of the 24th annual conference on Computer graphics and interactive techniques
Removal of blends from boundary representation models
Proceedings of the seventh ACM symposium on Solid modeling and applications
Spatial Reasoning for the Automatic Recognition of Machinable Features in Solid Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Feature-based multiresolution modeling of solids
ACM Transactions on Graphics (TOG)
Transformation of a thin-walled solid model into a surface model via solid deflation
Computer-Aided Design
Technical Section: An approach to B-rep model simplification based on region suppression
Computers and Graphics
Feature suppression based CAD mesh model simplification
Computer-Aided Design
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When computer-aided design (CAD) models generated in the design phase are used for engineering activities such as engineering analysis, distributed collaborative design, and virtual prototyping, a process for simplifying the CAD models is needed. In this study, a feature-based simplification method of boundary representation (B-rep) models using sequential iterative volume decomposition is proposed. This method generates a feature-based model from a B-rep model by sequentially and iteratively applying the four volume decomposition methods (fillet, round, and chamfer decomposition; wrap-around decomposition; volume split decomposition; and cell-based decomposition). Then, feature-based simplification is applied to the generated feature-based model. To demonstrate the proposed method, a prototype system is implemented, and experiments with test cases are performed. Based on the experimental results, we verified that the proposed method successfully simplified B-rep models.