Digital Twin-Driven Cyber-Physical System for Autonomously Controlling of Micro Punching System
Rongli Zhao,
Douxi Yan,
Qiang Liu,
Jiewu Leng,
Jiafu Wan,
Xin Chen,
Xiafeng Zhang
Affiliations
Rongli Zhao
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong Provincial Key Laboratory of Micro-Nano Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, China
Douxi Yan
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China
Qiang Liu
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong Provincial Key Laboratory of Computer Integrated Manufacturing System, Guangdong University of Technology, Guangzhou, China
Xiafeng Zhang
State Key Laboratory of Precision Electronic Manufacturing Technology and Equipment, Guangdong Provincial Key Laboratory of Micro-Nano Manufacturing Technology and Equipment, Guangdong University of Technology, Guangzhou, China
Microstructure functional surface is widely used in an optical system because of its special micro-topological structure and particular physical properties. This paper presents a context-aware autonomously controlling method of micro-dots punching machine tool via establishing the digital twin-driven cyber-physical system. Key enabling techniques on twinning of cyberspace and physical equipment are discussed. A dynamic adjustment model of piezoelectric ceramics for micro-dots punching is presented based on the high-precision online detection and control system. A novel staggered punching approach is proposed for improving the punching speed. A joint optimization model is proposed for coordinating micro-punching system and staggered process. Context-aware autonomous adjusting of the system with errors analysis and compensations in the punching process is realized. Finally, a positioning accuracy of $2~\mu \text{m}$ and a high punching speed of 20-65 dots/s are achieved. This paper is expected to provide a new approach for incorporating smart-enabling techniques in the ultra-precision machining of microstructure arrays.
