This paper presents a methodology for efficiently recognizing both isolated and interacting features in a uniform way. The conventional, graph-based recognition method is combined with hint-based feature recognition to recognize and extract alternative interpretations of interacting features. First,
Recognition of rough machining features in 212D components
โ Scribed by X Xu; S Hinduja
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 627 KB
- Volume
- 30
- Category
- Article
- ISSN
- 0010-4485
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โฆ Synopsis
In this paper, two methods are used to recognize the roughing features in an intermediate workpiece, which is obtained by gluing the finishing features onto the original component. The first method is based on the physical states of equilibrium and hence is referred to as the equilibrium method. This method recognizes features originating from convex inner loops. The second method, referred to as the concavity method, uses the concavity of vertices, edges and faces to detect features and the interactions between them. The features are represented as volumes and are classified according to a feature taxonomy. In this taxonomy, a new class of features, i.e. free features, is included. Examples of such features are blend, edge and vertex volumes. Edge and vertex volumes are combined with face volumes to form face machining features. The methodology is illustrated by recognizing the features in two industrial components.
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