Campos-Ferreira, Andrés Campos | Tecnológico De Monterrey |
Lozoya-Santos, Jorge de-J | Tecnológico De Monterrey |
Vargas-Martínez, Adriana | Tecnológico De Monterrey |
Ramírez-Mendoza, Ricardo A. | Tecnológico De Monterrey |
Morales-Menendez, Ruben | Tecnológico De Monterrey |
Resumen: The digital twin is a comprehensive representation of a product or process into a digital world; it plays a vital role in the product lifecycle and helps to the horizontal integration of the production process. Digital Twin is one of the most promising technologies for system simulation and monitoring. Nevertheless, the concept is relatively new and has different conceptions and applications in the literature. In this work, a review of the State of the Art on principal scientific databases is presented. Besides, a brief classification regarding the main applications found are provided and a proof of concept based on a vehicle chassis.
¿Cómo citar?
Andres E. Campos-Ferreira, Jorge de J. Lozoya-Santos, Adriana Vargas-Martinez, Ricardo Ramirez Mendoza & Ruben Morales-Menendez. Digital Twin Applications: A Review. Memorias del Congreso Nacional de Control Automático, pp. 606-611, 2019.
Palabras clave
Sistemas Hombre-Máquina, Modelado e Identificación de Sistemas, Sistemas Biomédicos
Referencias
- Dahmen, U. and Rossmann, J. (2018). Experimentable digital twins for a modeling and simulation-based engineering approach. In 2018 IEEE Int Systems Engineering Symposium (ISSE), 1–8.
- David Cearley, Alfonso Velosa, M.K.M.W.B.B. (2018). Top 10 strategic technology trends for 2018: Digital twins.
- Haag, S. and Anderl, R. (2018). Digital twin–proof of concept. Manufacturing Letters, 15, 64–66.
- Luo, W., Hu, T., Zhu, W., and Tao, F. (2018). Digital twin modeling method for cnc machine tool. In 2018 IEEE 15th Int Conf in Networking, Sensing and Control, 1–4. IEEE.
- Negri, E., Fumagalli, L., and Macchi, M. (2017). A review of the roles of digital twin in cps-based production systems. Procedia Manufacturing, 11, 939–948.
- Parrot, A. y Warshaw, L. (2018). Industry 4.0 and the digital twin. Deloitte University Press, 1–18.
- Qi, Q. and Tao, F. (2018). Digital twin and big data towards smart manufacturing and industry 4.0: 360 degree comparison. IEEE Access, 6, 3585–3593.
- Qi, Q., Tao, F., Zuo, Y., and Zhao, D. (2018). Digital twin service towards smart manufacturing. Procedia CIRP, 72, 237–242.
- Rodic, B. (2017). Industry 4.0 and the new simulation modelling paradigm. Organizacija, 50(3), 193–207.
- Schleich, B., Anwer, N., Mathieu, L., and Wartzack, S. (2017). Shaping the digital twin for design and production engineering. CIRP Annals, 66(1), 141–144.
- Schluse, M., Atorf, L., and Rossmann, J. (2017). Experimentable digital twins for model-based systems engineering and simulation-based development. In 2017 Annual IEEE Int Systems Conf, 1–8. IEEE.
- Schluse, M., Priggemeyer, M., Atorf, L., and Rossmann, J. (2018). Experimentable digital twins. IEEE Transactions on Industrial Informatics, 14(4), 1722–1731.
- Schroeder, G.N., Steinmetz, C., Pereira, C.E., and Espindola, D.B. (2016). Digital twin data modeling with automationml and a communication methodology for data exchange. IFAC-PapersOnLine, 49(30), 12–17.
- Tao, F., Cheng, J., Qi, Q., Zhang, M., Zhang, H., and Sui, F. (2018). Digital twin-driven product design, manufacturing and service with big data. The Int J of Advanced Manufacturing Technology, 94(9-12), 3563– 3576.
- Tharma, R., Winter, R., Eigner, M., et al. (2018). An approach for the implementation of the digital twin in the automotive wiring harness field. In Proc 15th Int Design Conf of the Design, 3023–3032.
- Vachálek, J., Bartalsk`y, L., Rovny, O., Sismisová, D., Morhác, M., and Lokˇs´ık, M. (2017). The digital twin of an industrial production line within the industry 4.0 concept. In 2017 21st Int Conf on Process Control, 258–262. IEEE.
- Walker, M. (2018). Hype cycle for emerging technologies, 2018. URL https://www.gartner.com. Yang, W.,
- Tan, Y., Yoshida, K., and Takakuwa, S. (2017). Digital twin-driven simulation for a cyber-physical system in industry 4.0. DAAAM Int Scientific Book, 227– 234.
- Zheng, Y., Yang, S., and Cheng, H. (2018). An application framework of digital twin and its case study. J of Ambient Intelligence and Humanized Computing, 1–13