摘要
数字孪生作为赛博物理系统的关键技术,能够对物理世界进行数字化描述并有效管控产品全生命周期的数据,为实现产品研发生产中各种活动的优化决策提供了新的思路。对数字孪生的概念和研究进展进行了概述,针对当前CAPP(计算机辅助工艺设计)研究中存在的两个问题,引入了实作模型的概念,提出了数字孪生环境下CAPP的设计框架,最后探讨了基于实作模型的实时工艺决策和基于数字孪生的工艺知识挖掘技术。
Digital twin, as the key technology of cyber-physical system, can digitally describe the physical world and effectively manage and control the data of the entire product lifecycle, and provide new ideas to optimize the various activities in product research and development. The concept and research progress of digital twin is discussed, aiming at the two problems existing in the current CAPP （Computer Aided Process Planning） research, the concept of as-build model is introduced, the design framework of CAPP under the digital twin is proposed, and finally a real-time process decision-making method based on digital twin and a process knowledge mining method based on digital twin are discussed.
作者
于勇
胡德雨
戴晟
赵罡
YU Yong;HU Deyu;DAI Sheng;ZHAO Gang(School of Mechanical Engineering ＆ Automation,Beihang University,Beijing 100191,China;China Key Laboratory of Aeronautics Smart Manufacturing,Ministry of Industry and Information Technology,Beijing 100083,China)
出处
《航空制造技术》
2018年第18期26-33,共8页
Aeronautical Manufacturing Technology
基金
工信部相关专项科研技术研究资助项目(MJZ-2016-*)
