TY - GEN
T1 - Towards the Digital Twin Based Tool Condition Monitoring System for Micro Milling Application
T2 - 7th International Conference on Automation, Control and Robots, ICACR 2023
AU - Christiand,
AU - Kiswanto, Gandjar
AU - Baskoro, Ario Sunar
N1 - Publisher Copyright:
© 2023 IEEE.
PY - 2023
Y1 - 2023
N2 - This paper reviews the developments of tool condition monitoring (TCM) systems in the domain of micro-milling applications. The elaboration of TCM taxonomy is focused on the three essential components, i.e., approach, sensor type, and wear modelling. Further, the digital twin-based TCM developments are also presented. The review shows that the digital twin-based TCM adaptation still needs to be improved despite its potential benefits. The physics-based approach of TCM can be explored more in the digital twin development as the digital model.
AB - This paper reviews the developments of tool condition monitoring (TCM) systems in the domain of micro-milling applications. The elaboration of TCM taxonomy is focused on the three essential components, i.e., approach, sensor type, and wear modelling. Further, the digital twin-based TCM developments are also presented. The review shows that the digital twin-based TCM adaptation still needs to be improved despite its potential benefits. The physics-based approach of TCM can be explored more in the digital twin development as the digital model.
KW - digital twin
KW - review
KW - tool condition monitoring
KW - tool wear monitoring
UR - http://www.scopus.com/inward/record.url?scp=85179513822&partnerID=8YFLogxK
U2 - 10.1109/ICACR59381.2023.10314572
DO - 10.1109/ICACR59381.2023.10314572
M3 - Conference contribution
AN - SCOPUS:85179513822
T3 - 2023 7th International Conference on Automation, Control and Robots, ICACR 2023
SP - 190
EP - 196
BT - 2023 7th International Conference on Automation, Control and Robots, ICACR 2023
PB - Institute of Electrical and Electronics Engineers Inc.
Y2 - 4 August 2023 through 6 August 2023
ER -