A systematic development method for cyber-physical machine tools

Chao Liu, Hrishikesh Vengayil, Ray Y. Zhong, Xun Xu

Research output: Journal article publicationJournal articleAcademic researchpeer-review

83 Citations (Scopus)

Abstract

Machine Tool 4.0 introduces a new generation of machine tools that are smarter, well connected, widely accessible, more adaptive and more autonomous. Cyber-Physical Machine Tools (CPMT), based on recent advancements of the Information and Communication Technology, provides a promising solution for Machine Tool 4.0. This paper proposes a systematic development method for CPMT. Generic system architecture is developed to provide guidelines for advancing existing Computer Numerical Control (CNC) machine tools to CPMT. The proposed architecture allows machine tool, machining processes, real-time machining data and intelligent algorithms to be deeply integrated through various types of networks. The development methodologies for the core of the CPMT, the Machine Tool Cyber Twin (MTCT), are studied and discussed in detail. MTCT enables different types of feedback loops among the physical world, the cyber space and humans to be realized. An MTConnect-based CPMT prototype is developed to validate the proposed CPMT. Experimental results have proved great interoperability, connectivity and extensibility of the proposed CPMT. The potential of implementing artificial intelligence in CPMT is also discussed.

Original languageEnglish
Pages (from-to)13-24
Number of pages12
JournalJournal of Manufacturing Systems
Volume48
DOIs
Publication statusPublished - Jul 2018
Externally publishedYes

Keywords

  • Cyber twin
  • Cyber-physical systems
  • Machine tool 4.0
  • Machine tools
  • MTConnect

ASJC Scopus subject areas

  • Software
  • Control and Systems Engineering
  • Hardware and Architecture
  • Industrial and Manufacturing Engineering

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