Intermittent adaptive trajectory planning for geometric defect correction in large-scale robotic laser directed energy deposition based additive manufacturing-Reference-Cited by-同舟云学术

Intermittent adaptive trajectory planning for geometric defect correction in large-scale robotic laser directed energy deposition based additive manufacturing

Published:2023-08-25 Issue: Volume: Page:
ISSN:0956-5515
Container-title:Journal of Intelligent Manufacturing
language:en
Short-container-title:J Intell Manuf

Author:

Kaji Farzaneh^ORCID,Nguyen-Huu Howard,Narayanan Jinoop Arackal,Zimny Mark,Toyserkani Ehsan

Funder

Fed-Dev Ontario

Promation Engineering

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Industrial and Manufacturing Engineering,Software

Link

https://link.springer.com/content/pdf/10.1007/s10845-023-02194-1.pdf

Reference28 articles.

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2. Borish, M., Post, B. K., Roschli, A., Chesser, P. C., Love, L. J., & Gaul, K. T. (2019). Defect identification and mitigation via visual inspection in large-scale additive manufacturing. JOM Journal of the Minerals Metals and Materials Society, 71(3), 893–899. https://doi.org/10.1007/s11837-018-3220-6

3. Chen, L., Yao, X., Xu, P., Moon, S. K., & Bi, G. (2021). Rapid surface defect identification for additive manufacturing with in-situ point cloud processing and machine learning. Virtual and Physical Prototyping, 16(1), 50–67.

4. Ding, Y., Warton, J., & Kovacevic, R. (2016). Development of sensing and control system for robotized laser-based direct metal addition system. Additive Manufacturing, 10, 24–35. https://doi.org/10.1016/j.addma.2016.01.002

5. Errico, V., Campanelli, S. L., Angelastro, A., Dassisti, M., Mazzarisi, M., & Bonserio, C. (2021). Coaxial monitoring of AISI 316L thin walls fabricated by direct metal laser deposition. Materials (basel, Switzerland), 14(3), 673. https://doi.org/10.3390/ma14030673

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