Spatiotemporal analysis of powder bed fusion melt pool monitoring videos using deep learning
Author:
Funder
Ministry of Education - Singapore
Publisher
Springer Science and Business Media LLC
Link
https://link.springer.com/content/pdf/10.1007/s10845-024-02355-w.pdf
Reference35 articles.
1. Booth, B., Heylen, R., Nourazar, M., Verhees, D., Philips, W., & Bey-Temsamani, A. (2022). Encoding stability into laser powder bed fusion monitoring using temporal features and pore density modelling. Sensors, 22(10), 3740.
2. Bugatti, M., & Colosimo, B. M. (2022). Towards real-time in-situ monitoring of hot-spot defects in L-PBF: A new classification-based method for fast video-imaging data analysis. Journal of Intelligent Manufacturing, 33, 293–309.
3. Clijsters, S., Craeghs, T., Buls, S., Kempen, K., & Kruth, J. P. (2014). In situ quality control of the selective laser melting process using a high-speed, real-time melt pool monitoring system. The International Journal of Advanced Manufacturing Technology, 75(5), 1089–1101. https://doi.org/10.1007/s00170-014-6214-8
4. de Winton, H. C., Cegla, F., & Hooper, P. A. (2021). A method for objectively evaluating the defect detection performance of in-situ monitoring systems. Additive Manufacturing, 48, 102431. https://doi.org/10.1016/j.addma.2021.102431
5. Elambasseril, J., Rogers, J., Wallbrink, C., Munk, D., Leary, M., & Qian, M. (2023). Laser powder bed fusion additive manufacturing (LPBF-AM): The influence of design features and LPBF variables on surface topography and effect on fatigue properties. Critical Reviews in Solid State and Materials Sciences, 48(1), 132–168. https://doi.org/10.1080/10408436.2022.2041396
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