TY - JOUR
T1 - A systematic development method for cyber-physical machine tools
AU - Liu, Chao
AU - Vengayil, Hrishikesh
AU - Zhong, Ray Y.
AU - Xu, Xun
PY - 2018/7
Y1 - 2018/7
N2 - 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.
AB - 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.
KW - Cyber twin
KW - Cyber-physical systems
KW - Machine tool 4.0
KW - Machine tools
KW - MTConnect
UR - http://www.scopus.com/inward/record.url?scp=85044529010&partnerID=8YFLogxK
UR - https://www.sciencedirect.com/science/article/abs/pii/S0278612518300128?via%3Dihub
U2 - 10.1016/j.jmsy.2018.02.001
DO - 10.1016/j.jmsy.2018.02.001
M3 - Article
AN - SCOPUS:85044529010
SN - 0278-6125
VL - 48
SP - 13
EP - 24
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
IS - Part C
ER -