基于子图分解的制造特征识别方法

Jingning Wu, Ruoshan Lei, Yibing Peng
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引用次数: 0

摘要

制造特征识别是实现设计与制造一体化的关键技术。本文首先提出了一种基于广义扩展属性邻接图(GEAAG)的机械零件表示形式的子图分解方法,将机械零件整体图分解为多个子图。其次,基于预定义的制造特征属性邻接图(Attribute Adjacency Graph, AAG)和扩展的属性规则,遍历子图谱匹配真实制造特征,实现制造特征的识别;最后,开发了一个原型系统对所提方法进行了验证,并与传统方法进行了对比实验,验证了所提方法具有较高的识别效率。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Manufacturing Feature Recognition Method Based on Subgraph Decomposition
Manufacturing feature recognition is a key technology to realize the integration of design and manufacturing. This paper firstly proposes a subgraph decomposition method based on the mechanical part representation form of Generalized Extended Attribute Adjacency Graph (GEAAG), which decomposes the overall mechanical part graph into the multiple subgraphs. Secondly, based on the predefined manufacturing feature Attribute Adjacency Graph (AAG) and extended attribute rules, the sub-atlas are traversed to match the real manufacturing features to realize the recognition of manufacturing features. Finally, a prototype system was developed to validate the proposed method, and a comparative experiment with the traditional method is conducted to verify that the presented method has higher recognition efficiency.
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