Digital twin for geometric feature online inspection system of car body-in-white

References

• Abdulmotaleb, E. S. 2018. “Digital Twins: The Convergence of Multimedia Technologies.” IEEE MultiMedia 25 (2): 87–92. doi:https://doi.org/10.1109/MMUL.2018.023121167.
   Web of Science ®Google Scholar
• Boschert, S., C. Heinrich, and R. Rosen 2018. “Next Generation Digital Twin.” In Paper presented at the Proceedings of TMC, Las Palmas de Gran Canaria, May 7-11.
   Google Scholar
• Brenner, B., and V. Hummel. 2017. “Digital Twin as Enabler for an Innovative Digital Shopfloor Management System in the ESB Logistics Learning Factory at Reutlingen – University.” Procedia Manufacturing 9:198–205.
   Google Scholar
• Canedo, A. 2016. “Industrial IoT Lifecycle via Digital Twins.” In Paper presented at the International Conference on Hardware/Software Codesign and System Synthesis (CODES+ISSS), Pittsburgh, PA, October,1-7.
   Google Scholar
• Gabor, T., L. Belzner, M. Kiermeier, M. T. Beck, and A. Neitz 2016. “A Simulation-Based Architecture for Smart Cyber-Physical Systems.” In Paper presented at the 2016 IEEE International Conference on Autonomic Computing (ICAC), Wurzburg, July 17-22.
   Google Scholar
• Gockel, B. T., A. W. Tudor, M. D. Brandyberry, R. C. Penmetsa, and E. J. Tuegel 2012. “Challenges with Structural Life Forecasting Using Realistic Mission Profiles.” In Paper presented at the 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Hawaii, April 23-26.
   Google Scholar
• Grieves, M. 2014. “Digital Twin: Manufacturing Excellence through Virtual Factory Replication.” White paper. Chicago: Ameritech Corporation.
   Google Scholar
• Guo, J., N. Zhao, L. Sun, and S. Zhang. 2018. “Modular Based Flexible Digital Twin for Factory Design.” Journal of Ambient Intelligence and Humanized Computing 10 (3): 1189–1200. doi:https://doi.org/10.1007/s12652-018-0953-6.
   Web of Science ®Google Scholar
• Haag, S., and R. Anderl. 2018. “Digital Twin – Proof of Concept.” Manufacturing Letters 15: 64–66. doi:https://doi.org/10.1016/j.mfglet.2018.02.006.
   Google Scholar
• Kousi, N., C. Gkournelos, S. Aivaliotis, C. Giannoulis, G. Michalos, and S. Makris. 2019. “Digital Twin for Adaptation of Robots’ Behavior in Flexible Robotic Assembly Lines.” Procedia Manufacturing 28: 121–126. doi:https://doi.org/10.1016/j.promfg.2018.12.020.
   Google Scholar
• Li, C., S. Mahadevan, Y. Ling, S. Choze, and L. Wang. 2017. “Dynamic Bayesian Network for Aircraft Wing Health Monitoring Digital Twin.” AIAA Journal 55 (3): 930–941. doi:https://doi.org/10.2514/1.J055201.
   Web of Science ®Google Scholar
• Majumdar, P. K., M. Faisalhaider, and K. Reifsnider 2013. “Multi-physics Response of Structural Composites and Framework for Modeling Using Material Geometry.” In Paper presented at the 54th AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics, and Materials Conference, Boston, April 8-11.
   Google Scholar
• Mukherjee, T., and T. DebRoy. 2019. “A Digital Twin for Rapid Qualification of 3D Printed Metallic Components.” Applied Materials Today 14: 59–65. doi:https://doi.org/10.1016/j.apmt.2018.11.003.
   Web of Science ®Google Scholar
• Negria, E., L. Fumagallia, and M. Macchia. 2017. “A Review of the Roles of Digital Twin in CPS-based Production Systems.” Procedia Manufacturing 11: 939–948. doi:https://doi.org/10.1016/j.promfg.2017.07.198.
   Google Scholar
• Qi, Q. L., and F. Tao. 2018. “Digital Twin and Big Data Towards Smart Manufacturing and Industry 4.0: 360 Degree Comparison.” IEEE Access 6: 1. doi:https://doi.org/10.1109/ACCESS.2018.2793265.
   Web of Science ®Google Scholar
• Rosen, R., G. von Wichert, L. George., and K. D. Bettenhausen. 2015. “About the Importance of Autonomy and Digital Twins for the Future of Manufacturing.” IFAC-PapersOnLine 48 (3): 567–572. doi:https://doi.org/10.1016/j.ifacol.2015.06.141.
   Google Scholar
• Schluse, M., and J. Rossmann 2016. “From Simulation to Experimentable Digital Twins: Simulation-based Development and Operation of Complex Technical Systems.” In Paper presented at the 2016 IEEE International Symposium on Systems Engineering (ISSE), Edinburgh, October 1-6.
   Google Scholar
• Schroeder, G. N., C. Steinmetz, C. E. Pereira, and D. B. Espindola. 2016. “Digital Twin Data Modeling with AutomationML and a Communication Methodology for Data Exchange.” IFAC-PapersOnLine 49 (30): 12–17. doi:https://doi.org/10.1016/j.ifacol.2016.11.115.
   Google Scholar
• Shafto, M., M. Conroy, R. Doyle, E. Glaessgen, C. Kemp, J. LeMoigne, and L. Wang. 2010. “DRAFT Modeling, Simulation, Information Technology & Processing Roadmap.” Technology Area: 11. https://www.nasa.gov/pdf/501321main_TA11-MSITP-DRAFT-Nov2010-A1.pdf
   Google Scholar
• Söderberg, R., K. Wärmefjord, J. S. Carlson, and L. Lindkvist. 2017. “Toward a Digital Twin for Real-time Geometry Assurance in Individualized Production.” CIRP Annals - Manufacturing Technology 66: 137–140. doi:https://doi.org/10.1016/j.cirp.2017.04.038.
   Web of Science ®Google Scholar
• Tao, F., J. Cheng, Q. L. Qi, M. Zhang, H. Zhang, and F. Sui. 2018a. “Digital Twin-Driven Product Design, Manufacturing and Service with Big Data.” The International Journal of Advanced Manufacturing Technology 94: 3563. doi:https://doi.org/10.1007/s00170-017-0233-1.
   Web of Science ®Google Scholar
• Tao, F., F. Sui, A. Liu, Q. L. Qi, M. Zhang, B. Song, Z. Guo, S. C. Y. Lu, and A. Y. C. Nee. 2019. “Digital Twin-Driven Product Design Framework.” International Journal of Production Research 57 (12): 3935-3953. doi:https://doi.org/10.1080/00207543.2018.1443229
   Google Scholar
• Tao, F., and M. Zhang. 2017. “Digital Twin Shop-Floor: A New Shop-Floor Paradigm Towards Smart Manufacturing.” IEEE Access 5: 20418–20427. doi:https://doi.org/10.1109/ACCESS.2017.2756069.
   Web of Science ®Google Scholar
• Tuegel, E. J. 2012. “The Airframe Digital Twin: Some Challenges to Realization.” In Paper presented at the 53rd AIAA/ASME/ASCE/AHS/ASC Structures, Structural Dynamics and Materials Conference, Hawaii, April 23-26.
   Google Scholar
• Xie, J., X. Wang, Z. Yang, and S. Hao. 2019. “Virtual Monitoring Method for Hydraulic Supports Based on Digital Twin Theory.” Mining Technology 128: 77–87. Advance online publication. doi:https://doi.org/10.1080/25726668.2019.1569367.
   Google Scholar
• Xu, Y., Y. Sun, X. Liu, and Y. Zheng. 2019. “A Digital-Twin-Assisted Fault Diagnosis Using Deep Transfer Learning.” IEEE Access 7: 19990–19999. doi:https://doi.org/10.1109/ACCESS.2018.2890566.
   Google Scholar