Computer graphics: principles and practice (2nd ed.)
Computer graphics: principles and practice (2nd ed.)
Separation for boundary to CSG conversion
ACM Transactions on Graphics (TOG)
Multiple-way feature conversion to support concurrent engineering
SMA '95 Proceedings of the third ACM symposium on Solid modeling and applications
Computational geometry: algorithms and applications
Computational geometry: algorithms and applications
Interactive feature extraction for a form feature conversion system
SMA '97 Proceedings of the fourth ACM symposium on Solid modeling and applications
Maintaining multiple views in feature modeling
SMA '97 Proceedings of the fourth ACM symposium on Solid modeling and applications
Boundary representation deformation in parametric solid modeling
ACM Transactions on Graphics (TOG)
Multiple feature interpretation across domains
Computers in Industry
Associativity between feature models across domains
SM '03 Proceedings of the eighth ACM symposium on Solid modeling and applications
Persistent Naming Through Persistent Entities
GMP '02 Proceedings of the Geometric Modeling and Processing — Theory and Applications (GMP'02)
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The promise of features technology was that the task domains would have access to task specific product data through feature based models. This is an important requirement in a distributed and concurrent design environment, where data of part geometry has to be shared between different task domains. Associativity between feature models implies the automatic updating of different feature models of a part after changes are made in one of its feature models. The proposed algorithm takes multiple feature models of a part as input and modifies other feature models to reflect the changes made to a feature in a feature model. The proposed algorithm updates feature volumes in other feature models and then classifies the updated volumes to obtain the updated feature model. The spatial arrangement of feature faces and adjacency relationship between features are used to isolate features in a view that are affected by the modification. Feature volumes are updated based on the classification of the feature volume of the modified feature with respect to feature volumes of the model being updated. The algorithm is capable of handling all types of feature modifications namely, feature deletion, feature creation, and changes to feature location and parameters. In contrast to current art in automatic updating of feature models, the proposed algorithm does not use an intermediate representation, does not re-interpret the feature model from a low level representation and handles interacting features. The present work considers modifications to form features only. Modification of constraints and application attributes are under investigation. Results of implementation on typical cases are presented.