Graph and hint based algorithm for machining feature automation recognition and mapping |
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Authors: | Ru-zhen Zhang Xiong-hui Zhou Yan-jie Qiu |
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Institution: | (1) The Manufacturing Engineering Centre, Cardiff University, Cardiff, CF24 3AA, UK;(2) Cardiff School of Engineering, Cardiff University, Cardiff, CF24 3AA, UK |
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Abstract: | Feature recognition is a process of extracting machining features which has engineering meaning from solid model, and it is
a key technology of CAD/CAPP/CAM integration. This paper presents an effective and efficient methodology of recognizing machining
feature. In this approach, features are classified into two categories: pocket feature and predefined feature. Different feature
type adopts its special hint and heuristic rule, and is helpful to recognize intersection feature. Feature classification
optimizes search algorithm and shortens search scope dramatically. Meanwhile, extension and split algorithm is used to handle
intersecting feature. Moreover, feature mapping based on machining knowledge is introduced to support downstream application
better. Finally, case studies with complex intersecting features prove that the developed approach has stronger recognizing
ability. |
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Keywords: | feature recognition intersecting feature feature mapping |
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