The DOI matches its Crossref record; 5 of the 5 references it cites were found in a registry or an index.
Visualisation of the Digital Twin data in manufacturing by using Augmented Reality
Open accessAbstract
With the wave of Industry 4.0, Digital Twin is attracting more and more attention world-wide. The term might have been coined some time ago, today the concept is increasingly being used in the field of smart manufacturing. Digital Twin provides advantages in different fields of manufacturing, such as production and design, remote diagnostics and service. Digital Twin relies on the continuously accumulated data and real-time presentation of the collected data to simultaneously update and modify with its physical counterpart. However, presenting a huge amount of collected data and information in a Digital Twin in an intuitive manner remains a challenge. Currently, augmented reality (AR) has been widely implemented in the manufacturing environment, such as product design, data management, assembly instructions, and equipment maintenance. By integrating graphics, audios and real-world objects, AR allows the users to visualise and interact with Digital Twin data at a new level. It gives the opportunity to provide intuitive and continual visualisation of the Digital Twin data. In this paper, an AR application that uses Microsoft HoloLens to visualise the Digital Twin data of a CNC milling machine in a real manufacturing environment is presented. The developed application allows the operator to monitor and control the machine tool at the same time, but also enables to interact and manage the Digital Twin data simultaneously, which provides an intuitive and consistent human machine interface to improve the efficiency during the machining process. The proposed application paves the way for further development of intelligent control process through AR devices in the future.
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Cites
Digital twin-driven product design, manufacturing and service with big data
Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., & Sui, F. (2018) · The International Journal of Advanced Manufacturing Technology · doi:10.1007/s00170-017-0233-1 · Cited by 2,920
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 20th AIAA/ASME/AHS Adaptive Structures Conference 14th AIAA · doi:10.2514/6.2012-1818 · Cited by 2,404
About The Importance of Autonomy and Digital Twins for the Future of Manufacturing
Rosen, R., von Wichert, G., Lo, G., & Bettenhausen, K. D. (2015) · IFAC-PapersOnLine · doi:10.1016/j.ifacol.2015.06.141 · Cited by 1,474
Reengineering 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
Challenges with Structural Life Forecasting Using Realistic Mission Profiles
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Cited by
Is Human Digital Twin possible?
Shengli, W. (2021) · Computer Methods and Programs in Biomedicine Update · doi:10.1016/j.cmpbup.2021.100014 · Cited by 233
Tangible digital twin with shared visualization for collaborative air traffic management operations
Chen, K., Nadirsha, T. N. M., Lilith, N., Alam, S., & Svensson, Å. (2024) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2024.104546 · Cited by 24
Metadata
- Authors
- Zhu, Z., Liu, C., & Xu, X.
- Venue
- Procedia CIRP
- Publisher
- Elsevier BV
- Published
- 2019
- Volume
- 81
- Pages
- 898-903
- ISSN
- 2212-8271 (ISSN-L)
- OpenAlex
- W2953736535
- Cited by
- 270
- References
- 5
- FWCI
- 15.24
- Type
- journal article
- Language
- en
- Open access
- diamond
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