Digital twin for CNC machine tool: modeling and using strategy
Integrity signals
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Digital twins monitor a single process.
“a single process [34,36,44,45]”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [44]
In other reviewed cases, the production system is represented with a Discrete Event System (DES) model.
“in other cases the representation of the production system is done with a Discrete Event System (DES) model [28,37,41,44].”
From Review of digital twin applications in manufacturing (2019) · cites this paper as [44]
Cites
Digital Twin: Mitigating Unpredictable, Undesirable Emergent Behavior in Complex Systems
Grieves, M., & Vickers, J. (2017) · Transdisciplinary Perspectives on Complex Systems · doi:10.1007/978-3-319-38756-7_4 · Cited by 3,727 · see citing works
The Digital Twin Paradigm for Future NASA and U.S. Air Force Vehicles
Glaessgen, E., & Stargel, D. (2012) · 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference<BR>20th AIAA/ASME/AHS Adaptive Structures Conference<BR>14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404 · cited 1× · see citing works
“In recent years, with the requirement of smart manufacturing mode, developed from CPS concept, the appearance of digital twin (DT) (Grieves and Vickers 2017; Glaessgen and Stargel 2012) technology provides an effective resolution to integrate the physical world and the information world.”
BackgroundReengineering aircraft structural life prediction using a digital twin
Tuegel, E. J., Ingraffea, A. R., Eason, T. G., & Spottswood, S. M. (2011) · International Journal of Aerospace Engineering · doi:10.1155/2011/154798 · Cited by 1,119 · see citing works
Digital twin driven prognostics and health management for complex equipment
Tao, F., Zhang, M., Liu, Y., & Nee, A. Y. C. (2018) · CIRP Annals · doi:10.1016/j.cirp.2018.04.055 · Cited by 1,000 · see citing works
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Tao, F., Xiao, B., Qi, Q., Cheng, J., & Ji, P. (2022) · Journal of Manufacturing Systems · doi:10.1016/j.jmsy.2022.06.015 · Cited by 1,255 · see citing works
Review of digital twin applications in manufacturing
Cimino, C., Negri, E., & Fumagalli, L. (2019) · Computers in Industry · doi:10.1016/j.compind.2019.103130 · Cited by 874 · see citing works
Lim, K. Y. H., Zheng, P., & Chen, C.-H. (2020) · Journal of Intelligent Manufacturing · doi:10.1007/s10845-019-01512-w · Cited by 700 · see citing works
Rathore, M. M., Shah, S. A., Shukla, D., Bentafat, E., & Bakiras, S. (2021) · IEEE Access · doi:10.1109/access.2021.3060863 · Cited by 616 · see citing works
A survey on AI-driven digital twins in Industry 4.0: smart manufacturing and advanced robotics
Huang, Z., Shen, Y., Li, J., Fey, M., & Brecher, C. (2021) · Sensors · doi:10.3390/s21196340 · Cited by 418 · see citing works
A Survey on Digital Twin for Industrial Internet of Things: Applications, Technologies and Tools
Xu, H., Wu, J., Pan, Q., Guan, X., & Guizani, M. (2023) · IEEE Communications Surveys & Tutorials · doi:10.1109/comst.2023.3297395 · Cited by 304 · see citing works
Digital twin for integration of design-manufacturing-maintenance: an overview
Fu, Y., Zhu, G., Zhu, M., & Xuan, F. (2022) · Chinese Journal of Mechanical Engineering · doi:10.1186/s10033-022-00760-x · Cited by 98 · see citing works
Digital Twin-Based Optimization for Ultraprecision Motion Systems With Backlash and Friction
Guerra, R. H., Quiza, R., Villalonga, A., Arenas, J., & Castano, F. (2019) · IEEE Access · doi:10.1109/access.2019.2928141 · Cited by 89 · see citing works
- Authors
- Luo, W., Hu, T., Zhang, C., & Wei, Y.
- Affiliations
- Shandong University (CN)
- Corresponding author
- Hu, Tianliang
- Venue
- Journal of Ambient Intelligence and Humanized Computing
- Published
- 2018-07-28
- Volume
- 10
- Issue
- 3
- Pages
- 1129-1140
- ISSN
- 1868-5137 (ISSN-L)
- 1868-5145
- OpenAlex
- W2883267225
- Cited by
- 350
- References
- 4
- Citations by year
- 2026: 20 · 2025: 47 · 2024: 49 · 2023: 72 · 2022: 60 · 2021: 49 · 2020: 38 · 2019: 14 · 2018: 1
- FWCI
- 21.13
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.springer.com/tdm (tdm)
- Locations
- Journal of Ambient Intelligence and Humanized Computing (publishedVersion)
- Funders
- National Natural Science Foundation of China (Grant No. 51405270)
- Topics
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Digital Transformation in Industry
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Engineering Technology and Methodologies
- Physical Sciences › Engineering › Industrial and Manufacturing Engineering › Applied Advanced Technologies
- Keywords
- digital twin, CNC machine tools, fault prediction, fault diagnosis, CNC milling machine, smart manufacturing, machine tool stability
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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