Digital twin-driven real-time suppression of delamination damage in CFRP drilling
Author:
Funder
Yeungnam University
Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Link
https://link.springer.com/content/pdf/10.1007/s10845-023-02315-w.pdf
Reference39 articles.
1. Bai, Y., Jia, Z. Y., Fu, R., Hao, J. X., & Wang, F. J. (2021). Mechanical model for predicting thrust force with tool wear effects in drilling of unidirectional CFRP. Composite Structures, 262, 113601. https://doi.org/10.1016/j.compstruct.2021.113601
2. Bhushi, U., Suthar, J., & Teli, S. N. (2019). Performance analysis of metaheuristics optimization techniques for drilling process on CFRP composites. Materials Today, 28, 1106–1114. https://doi.org/10.1016/j.matpr.2020.01.091
3. Caggiano, A., Rimpault, X., Teti, R., Balazinski, M., Chatelain, J. F., & Nele, L. (2018). Machine learning approach based on fractal analysis for optimal tool life exploitation in CFRP composite drilling for aeronautical assembly. CIRP Annals, 67(1), 483–486. https://doi.org/10.1016/j.cirp.2018.04.035
4. Chen, J., Li, S., Leng, X., Li, C., Kurniawan, R., Kwak, Y., & Ko, T. J. (2023). Bionic digital brain realizing the digital twin-cutting process. Robotics and Computer-Integrated Manufacturing, 84, 102591. https://doi.org/10.1016/j.rcim.2023.102591
5. Chen, R., Li, S., Li, C., Li, P., Jiang, Y., & Ko, T. J. (2021). Influence of fiber direction and processing parameters on drilling temperature of CFRP. Journal of Mechanical Science and Technology, 35(4), 1663–1669. https://doi.org/10.1007/s12206-021-0329-2
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