Digital Twin and Education in Manufacturing

Author:

Barbieri Giacomo,Sanchez-Londoño David,Gutierrez David Andres,Vigon Rafael,Negri Elisa,Fumagalli Luca

Publisher

Springer International Publishing

Reference57 articles.

1. Barricelli, B. R., Casiraghi, E., & Fogli, D. (2019). A survey on digital twin: Definitions, characteristics, applications, and design implications. IEEE Access, 7, 167653–167671.

2. Liu, M., Shuiliang, F., Huiyue, D., & Cunzhi, X. (2021). Review of digital twin about concepts, technologies, and industrial applications. Journal of Manufacturing Systems, 58, 346–361.

3. Lu, Y., Chao, L., Kai Wang, I. K., Huiyue, H., & Xun, X. (2020). Digital twin-driven smart manufacturing: Connotation, reference model, applications and research issues. Robotics and Computer-Integrated Manufacturing, 61, 101837.

4. Liljaniemi, A., & Paavilainen, H. (2020). Using digital twin technology in engineering education – Course concept to explore benefits and barriers. Open Engineering, 10(1), 377–385.

5. Nikolaev, S., Gusev, M., Padalitsa, D., Mozhenkov, E., Mishin, S., & Uzhinsky, I. (2018). Implementation of “digital twin” concept for modern project-based engineering education. In IFIP international conference on product lifecycle management.

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