EFFICIENT VERTEX CLASSIFICATION METHOD TO RECOGNISE THE ORTHOGONAL AND NON-ORTHOGONAL PRISMATIC FEATURES
Keywords:
Feature recognition, CAD, CAM, process planning, modellingAbstract
The geometrical property of the topology becomes more specific as the topology goes down to lower level. Hence, it will have less information to handle and eventually accelerate the search process. This paper proposes a vertex classification method, which is the lowest topology data in boundary representation (B-Reps) model. Apart from having only one geometrical property to accelerate the search process, the iterative search process to classify the feature will further make the search process more effective. Firstly, identification of feature originated from vertices classified as Vertex Inside Stock (VIS) is carried out. When all the features from VIS are identified, the search for features emanated from vertices called Vertex On Stock (VOS) are commenced. By examining the adjacent vertices of the VIS or VOS, blind pocket, notch and side pocket are identified when the system examined VIS, whilst the presence of VOS will lead to the identification of slot and step. Finally, the evaluation of the algorithm shows significant improvement in recognition time compared to pattern matching algorithm.References
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