Programma
- Definizione di Virtual Prototyping
- Definizione del contesto di utilizzo con presentazione di casi studio
- Quali sono i fondamenti per realizzare un VP: hardware e software
- Strumenti di modellazione software
- Strumenti hardware
- Sviluppo di un progetto applicativo
Prerequisiti
Basic knowledge in PC interface, and CAD modeling
Testi di riferimento
Appunti delle lezioni saranno fornite durante il corso sulla base dei piu recenti studi e applicazioni
Frequenza
Warmly suggested due to the lab activities
Modalità di esame
L'allievo discuterà il lavoro svolto durante il corso e sarà chiamato ad approfondire i concetti generali sviluppati alla luce del programma del corso
Bibliografia
Rojko, A.: Industry 4.0 concept: Background and overview. International Journal of Interactive Mobile Technologies 11(5), 77–90 (2017), DOI: 10.3991/ijim.v11i5.7072
Grandi, F., Khamaisi, R.K., Morganti, A., Peruzzini, M., Pellicciari, M.: Human-Centric Design of Automated Production Lines Using Virtual Reality Tools and Human Data Analysis. In: Stecca, G., Rinaldi, R. (eds.) FAIM 2023 – 32nd International Conference on Flexible Automation and Intelligent Manufacturing, Lecture Notes in Mechanical Engineering, vol. 2024, pp. 518–526. Springer, Cham (2024), DOI: 10.1007/978-3-031-38165-2_61
Aheleroff, S., Huang, H., Xu, X., Zhong, R.Y.: Toward sustainability and resilience with Industry 4.0 and Industry 5.0. Frontiers in Manufacturing Technology 2, Article 951643 (2022), DOI:10.3389/fmtec.2022.951643
Ghosh, S., Hughes, M., Hughes, P., Hodgkinson, I.: Digital twin, digital thread, and digi-tal mindset in enabling digital transformation: A socio-technical systems perspective. Technovation 144, Article 103240 (2025), DOI: 10.1016/j.technovation.2025.103240.
Jeong, D.-Y., Baek, M.-S., Lim, T.-B., Kim, Y.-W., Kim, S.-H., Lee, Y.-T., Jung, W.-S., Lee, I.-B.: Digital Twin: Technology Evolution Stages and Implementation Layers with Technology Elements. IEEE Access 10, 52609–52620 (2022), DOI: 10.1109/ACCESS.2022.3174220.
Ferrari, A., Willcox, K.: Digital twins in mechanical and aerospace engineering. Nature Computational Science 4(3), 178–183 (2024). https://doi.org/10.1038/s43588-024-00613-8.
. Semeraro, C., Lezoche, M., Panetto, H., Dassisti, M.: Digital twin paradigm: A systematic literature review. Computers in Industry 130, Article 103469 (2021), DOI: 10.1016/j.compind.2021.103469
Duan, L., Xu, L.D.: Data Analytics in Industry 4.0: A Survey. Information Systems Frontiers 26(6), 2287–2303 (2024), DOI: https://doi.org/10.1007/s10796-021-10190-0.
Bachelor, G., Brusa, E., Ferretto, D., Mitschke, A.: Model-Based Design of Complex Aeronautical Systems Through Digital Twin and Thread Concepts. IEEE Systems Jour-nal 14(2), 1568–1579 (2020).
Pasquariello, A., Bouhali, I., Leherbauer, D., Abdeljabbar, N., Mhenni, F., Patalano, S., Hehenberger, P., Rega, A.: Model-Based Systems Engineering for Digital Twin System Development Applied to an Aircraft Seat Test Bench. IEEE Access 13, 71908–71929 (2025), DOI: 10.1109/ACCESS.2025.3562932.
Hämäläinen, M.: Urban development with dynamic digital twins in Helsinki city. IET Smart Cities 3(4), 201–210 (2021), DOI: 10.1049/smc2.12015.
Evangelou, T., Gkeli, M., Potsiou, C.: Building Digital Twins for Smart Cities: A Case Study in Greece. In: 17th 3D GeoInfo Conference (3DGeoInfo 2022), ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, vol. X-4/W2-2022, pp. 61–68. Copernicus Publications, Göttingen (2022), DOI: 10.5194/isprs-annals-X-4-W2-2022-61-2022.
Guo, K., Wan, X., Liu, L., Gao, Z., Yang, M.: Fault diagnosis of intelligent production line based on digital twin and improved random forest. Applied Sciences (Switzerland) 11(16), Article 7733 (2021), DOI: https://doi.org/10.3390/app11167733
Schroeder, G.N., Steinmetz, C., Rodrigues, R.N., Henriques, R.V.B., Rettberg, A., Pe-reira, C.E.: A Methodology for Digital Twin Modeling and Deployment for Industry 4.0. Proceedings of the IEEE 109(4), 556–567 (2021), DOI: 10.1109/JPROC.2020.3032444
23. Bublil, T., Cohen, R., Kenett, R.S., Bortman, J.: Machine Health Indicators and Digital Twins. Sensors 25(7), Article 2246 (2025), DOI: https://doi.org/10.3390/s25072246
Modalità di erogazione
Lezioni frontali e attività laboratoriale
