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Machine tool digital twin: Modelling methodology and applications

Liu, Chao, Hong, Xiaoyang, Zhu, Zexuan and Xu, Xun 2018. Machine tool digital twin: Modelling methodology and applications. Presented at: The 48th International Conference on Computers and Industrial Engineering (CIE 48), Auckland, New Zealand, 02 December 2018. -.

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Abstract

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.

Item Type: Conference or Workshop Item (Paper)
Date Type: Published Online
Status: Published
Schools: Engineering
Subjects: T Technology > TJ Mechanical engineering and machinery
ISSN: 2164-8689
Date of First Compliant Deposit: 19 July 2019
Date of Acceptance: 1 November 2018
Last Modified: 19 Jul 2019 13:16
URI: http://orca.cf.ac.uk/id/eprint/123829

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