Publisher
Springer Science and Business Media LLC
Subject
Artificial Intelligence,Industrial and Manufacturing Engineering,Software
Reference29 articles.
1. Kovacevic, R., Zhang, Y. M., & Li, L. (1996). Monitoring of weld joint penetration based on weld pool geometrical appearance. Welding Journal, 75(10), 317–329
2. Bae, K. Y., Lee, T. H., & Ahn, K. C. (2001). An optical sensing system for seam tracking and weld pool control in gas metal arc welding of steel pipe. Journal of Materials Processing Technology, 120, 458–465. https://doi.org/10.1016/S0924-0136(01)01216-X
3. Wang, Z., Zhang, C., Pan, Z., Wang, Z., Liu, L., Qi, X., Mao, S., & Pan, J. (2018). Image segmentation approaches for weld pool monitoring during robotic arc welding. Applied Sciences, 8(12), 2445. https://doi.org/10.3390/app8122445. MDPI AG
4. Chen, Z., Chen, J., & Feng, Z. (2019). Monitoring weld pool surface and penetration using reversed electrode images. Welding Journal, 96(10), 367–375. https://doi.org/10.3390/app8122445
5. Zhang, Y. M., Cao, Z. N., & Kovacevic, R. (1996). Numerical Analysis of Fully Penetrated Weld Pools in Gas Tungsten Arc Welding. Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science, 210(2), 187–195. https://doi.org/10.1243/PIME_PROC_1996_210_185_02
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