Recent Research and Prospect on Feature Recognition of Three-dimensional Model
Recent Research and Prospect on Feature Recognition of Three-dimensional Model
复制标题
DOI：
10.2991/caai-18.2018.23
复制
发表时间：
2018-08
期刊：
影响因子：
--
通讯作者：
Yangdong Shi;Z. Deng;J. Zhong
中科院分区：
文献类型：
--
作者：
Yangdong Shi;Z. Deng;J. Zhong
特征识别技术是CAD/CAPP的智能接口。通过提取和识别零件三维模型中的公差、表面粗糙度、孔洞、工步等设计特征，实现了CAD/CAPP的有效结合，实现了CAD/CAPP/CAM系统的集成。该技术还有助于缩短产品开发周期，特别是工艺准备，降低设计成本。综述了边界模式匹配、体积组成、制造资源、杂交法等三维模型特征识别方法，并从识别效率、识别精度、识别灵活性、特征可加工性以及制造资源信息在工艺环境中的利用率等方面对三维模型特征识别方法进行了比较。讨论了零件模型加工特征识别的主要问题，并指出了该领域今后的研究方向。指出开发高效、准确、灵活、自动化、智能化的加工特征识别系统将成为未来计算机集成制造领域的重要研究课题。三维模型；特征识别；CAD/CAPP/CAM；基于边界模式匹配的加工特征识别；基于体积分解的加工特征识别；基于制造资源的加工特征识别；加工混合识别
A feature recognition technique is the intelligent interface of CAD/CAPP. Through extracting and recognizing the tolerance and surface roughness, the design features such asholes, steps and other design features in a 3D model of parts, the CAD/CAPP can be combined efficiently, and then the CAD/CAPP/CAM system can be integrated. This technique also helps to shorten the cycle of product development, especially process preparation, and reduce the design cost. In this paper, the 3D model features recognition approaches about boundary pattern matching, volume composition, manufacturing resources, and hybridization method are reviewed, and compared in terms of identifying efficiency, identifying accuracy, identifying flexibility, machinability of features, and utilization of manufacturing resource information in a process environment is conducted on the 3D model feature recognition approaches. The main issues of machining feature recognition of the part model are also discussed, and the direction of future researches in this field is presented. It is pointed out that the development of an efficient, accurate, flexible, automatic and intelligent machining feature recognition system will become an important research topic in the field of computer integrated manufacturing in the future. Keywords—Three-dimensional model; Feature recognition; CAD/CAPP/CAM; Machining feature recognition based on boundary pattern matching; Machining feature recognition based on volume decomposition; Machining feature recognition based on manufacturing resources; Hybrid recognition of Machining