Остання редакція: 2025-05-11
Анотація
Посилання
1. Su, C., Tang, X., Jiang, Q., et al. (2025). Digital twin system for manufacturing processes based on a multi-layer knowledge graph model. Scientific Reports, 15, 12835.
2. Liu, S., Bao, J., Lu, Y., et al. (2023). A review of digital twin-driven machining: From digitization to intellectualization. Journal of Manufacturing Systems, 67, 361–378.
3. Zhao, Z., Wang, S., Wang, Z., et al. (2022). Surface roughness stabilization method based on digital twin-driven machining parameters self-adaption adjustment: A case study in five-axis machining. Journal of Intelligent Manufacturing, 33(4), 943–952.
4. Zhang, C., Zhou, G., Xu, Q., et al. (2023). A digital twin defined autonomous milling process towards the online optimal control of milling deformation for thin-walled parts.
5. Li, B., Yan, X., Huang, T., et al. (2022). Digital twin-based machining deformation control of aerospace structural parts: modeling, implementation and verification. Journal of Manufacturing Processes, 82, 418–430.
6. Wang, K., Liu, D., Liu, Z., et al. (2021). An assembly precision analysis method based on a general part digital twin model. Robotics and Computer-Integrated Manufacturing, 68, 102089.