TY - JOUR
T1 - A review of digital twin-driven machining: From digitization to intellectualization
AU - Liu, Shimin
AU - Bao, Jinsong
AU - Zheng, Pai
N1 - Funding Information:
This research is partially funded by State Key Laboratory of Ultra-Precision Machining Technology (Project No. 1-BBR2 ) and the Postdoc Matching Fund Scheme ( 1-W24N ), The Hong Kong Polytechnic University, Mainland-Hong Kong Joint Funding Scheme ( MHX/001/20 ), Innovation and Technology Commission (ITC), Hong Kong Special Administration Region, HKSAR, China, and National Key Research and Development Programs of Cooperation on Science and Technology Innovation with Hong Kong, Macao and Taiwan ( SQ2020YFE020182 ), Ministry of Science and Technology (MOST) of the People's Republic of China.
Publisher Copyright:
© 2023 The Society of Manufacturing Engineers
PY - 2023/4
Y1 - 2023/4
N2 - Digital twin (DT) technology can realize the quality control of the dynamic cutting process by establishing the high-fidelity DT model, which has gradually become a hot spot in intelligent machining. Although some review articles have focused on DT, there is still a lack of clear and systematic analysis of DT-driven machining. To bridge this gap, this study conducted a state-of-the-art survey from the perspective of DT-driven machining (till 31-December-2022), covering a total of 145 selected publications. Firstly, the concepts of intelligent machining and DT-driven machining are classified. Then, the essential characteristics, operation processes, and services of the DT-driven machining system are analyzed and sorted out from three perspectives: point, line, and face. Moreover, according to the analysis of DT-driven machining, the potential research directions in the future are proposed from four aspects: high-fidelity reconstruction, collaboration, control granularity, and interactive mode. It is hoped to provide a holistic understanding of the DT-driven machining process to attract more open and in-depth discussions and research work in this field.
AB - Digital twin (DT) technology can realize the quality control of the dynamic cutting process by establishing the high-fidelity DT model, which has gradually become a hot spot in intelligent machining. Although some review articles have focused on DT, there is still a lack of clear and systematic analysis of DT-driven machining. To bridge this gap, this study conducted a state-of-the-art survey from the perspective of DT-driven machining (till 31-December-2022), covering a total of 145 selected publications. Firstly, the concepts of intelligent machining and DT-driven machining are classified. Then, the essential characteristics, operation processes, and services of the DT-driven machining system are analyzed and sorted out from three perspectives: point, line, and face. Moreover, according to the analysis of DT-driven machining, the potential research directions in the future are proposed from four aspects: high-fidelity reconstruction, collaboration, control granularity, and interactive mode. It is hoped to provide a holistic understanding of the DT-driven machining process to attract more open and in-depth discussions and research work in this field.
KW - Digital twin
KW - Intelligent machining
KW - Machining process
KW - Machining system
UR - http://www.scopus.com/inward/record.url?scp=85148538851&partnerID=8YFLogxK
U2 - 10.1016/j.jmsy.2023.02.010
DO - 10.1016/j.jmsy.2023.02.010
M3 - Review article
AN - SCOPUS:85148538851
SN - 0278-6125
VL - 67
SP - 361
EP - 378
JO - Journal of Manufacturing Systems
JF - Journal of Manufacturing Systems
ER -