TY - GEN
T1 - Digital twin modeling method for CNC machine tool
AU - Luo, Weichao
AU - Hu, Tianliang
AU - Zhu, Wendan
AU - Tao, Fei
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/5/18
Y1 - 2018/5/18
N2 - CNC machine tool (CNCMT) is the mother machine of industry, which plays an important role in the coming smart manufacturing. The intelligence of CNCMT has a big significance, which will enables its self-sensing, self-prediction and self-maintenance without user concerns. In order to realize the intelligence of CNCMT, a Digital Twin (DT) modeling method for CNCMT is researched, including a multi-domain unified modeling method, a mapping method and an autonomous strategy. This paper provides a demonstration of DT modeling method for CNCMT.
AB - CNC machine tool (CNCMT) is the mother machine of industry, which plays an important role in the coming smart manufacturing. The intelligence of CNCMT has a big significance, which will enables its self-sensing, self-prediction and self-maintenance without user concerns. In order to realize the intelligence of CNCMT, a Digital Twin (DT) modeling method for CNCMT is researched, including a multi-domain unified modeling method, a mapping method and an autonomous strategy. This paper provides a demonstration of DT modeling method for CNCMT.
KW - CNC machine tool (CNCMT)
KW - Digital Twin (DT)
KW - Fault predict and diagnosis
KW - Smart manufacturing
UR - https://www.scopus.com/pages/publications/85048211080
U2 - 10.1109/ICNSC.2018.8361285
DO - 10.1109/ICNSC.2018.8361285
M3 - 会议稿件
AN - SCOPUS:85048211080
T3 - ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
SP - 1
EP - 4
BT - ICNSC 2018 - 15th IEEE International Conference on Networking, Sensing and Control
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 15th IEEE International Conference on Networking, Sensing and Control, ICNSC 2018
Y2 - 27 March 2018 through 29 March 2018
ER -