Digital twin-driven cyber-physical system for autonomously controlling of micro punching system

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review

28 Scopus Citations
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Author(s)

  • Rongli Zhao
  • Douxi Yan
  • Qiang Liu
  • Jiewu Leng
  • Jiafu Wan
  • And 2 others
  • Xin Chen
  • Xiafeng Zhang

Related Research Unit(s)

Detail(s)

Original languageEnglish
Article number8603719
Pages (from-to)9459-9469
Journal / PublicationIEEE Access
Volume7
Online published7 Jan 2019
Publication statusPublished - 2019

Abstract

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 2μm 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.

Research Area(s)

  • autonomously controlling, cyber-physical systems, Digital twin, micro punching system, online joint optimization

Citation Format(s)

Digital twin-driven cyber-physical system for autonomously controlling of micro punching system. / Zhao, Rongli; Yan, Douxi; Liu, Qiang; Leng, Jiewu; Wan, Jiafu; Chen, Xin; Zhang, Xiafeng.

In: IEEE Access, Vol. 7, 8603719, 2019, p. 9459-9469.

Research output: Journal Publications and Reviews (RGC: 21, 22, 62)21_Publication in refereed journalpeer-review