Machine Tool Digital Twin: Modelling methodology and applications

Chao Liu, Xiaoyang Hong, Zexuan Zhu, Xun Xu*

*Corresponding author for this work

Research output: Contribution to journalConference articlepeer-review


Cyber-Physical Machine Tools (CPMT) represent a new generation of complete Cyber-Physical Systems (CPS)-based machine tools that deeply integrate machine tool and machining processes with computation and networking. CPMT have a higher level of connectivity, intelligence and autonomy compared to current machine tools. Digital Twin is a critical component of any CPS. The core of a CPMT lies in the Machine Tool Digital Twin (MTDT). This paper presents the methodology for modelling the MTDT based on open, unified and platform-independent communication standards such as MTConnect and OPC UA. Two applications of the MTDT are developed to demonstrate the advantages and potential of the proposed approach. The first application is a Web-based machine tool condition monitoring application that allows users to monitor the real-time status as well as the 3D model of the machine tool through web browsers on mobile devices. The second application is an advanced Augmented Reality (AR)-assisted wearable Human-Machine Interface (HMI) that provides users with intuitive and enhanced visualization of the machining processes.

Original languageEnglish
JournalProceedings of International Conference on Computers and Industrial Engineering, CIE
Publication statusPublished - 2018
Event48th International Conference on Computers and Industrial Engineering, CIE 2018 - Auckland, New Zealand
Duration: 2 Dec 20185 Dec 2018


  • Augmented Reality
  • Cyber-Physical Machine Tool
  • Digital Twin
  • Machine Tool Digital Twin
  • Web-based application


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