面向并行设计的局部特征识别技术研究

Research on local feature recognition techniques for concurrent design.

为支持在并行设计过程中设计特征模型到加工特征模型的逐步转换,提出了局部特征识别的方法.在并行设计中,设计特征模型和加工特征模型通过面名历史图共享零件的实体模型,设计特征的变动通过局部特征识别自动地转换为相应的加工特征.局部特征识别是由基于最小条件子图特征识别方法改进来的,它以零件的局部区域为识别对象,通过搜索匹配局部区域构成的边界模式,识别出该局部区域中所包含的加工特征.局部特征识别方法的特点是只对设计中发生变动的区域进行识别.

To facilitate the incremental conversion from design feature model to machining feature model in concurrent design, an approach to local feature recognition is presented. In the concurrent design, the design feature model and the machining feature model share the same solid model of a part through a history graph of each face's identity, while design feature changes are converted into corresponding machining features automatically and incrementally by local feature recognition. The method of local feature recognition is derived from formerly proposed Minimal- Condition Sub- Graph (MCSG) method, and to some extent, enhances the original MCSG method. In contrast to the global feature recognition method in which a part is processed as a whole, the local feature recognition method restricts the recognition area in a local area of a part, and recognizes machining features by matching boundary patterns in the bounded local area. Experiments show that great efficiency can be obtained since the recognition area is kept within bounds of the local area where there are design feature changes.