Development of in-process welding torch position control system using AI technology
Author:
Publisher
Springer Science and Business Media LLC
Subject
Metals and Alloys,Mechanical Engineering,Mechanics of Materials
Link
https://link.springer.com/content/pdf/10.1007/s40194-023-01486-7.pdf
Reference17 articles.
1. Katsunori I (1980) Image processing for on-line detection of welding process (Report 1). Journal of The Japan Welding Society 49(9):609–613. https://doi.org/10.2207/qjjws1943.49.609. (in Japanese)
2. Takaichi K, Yoichi T, Masahiro K, Junichiro M (1989) Development of real time welding control system by using image processing. Quarterly Journal of The Japan Welding Society 7–3:363–367. https://doi.org/10.2207/qjjws.7.363. (in Japanese)
3. Yoshihiro F, Tsuyoshi O, Satoru A, Setsu Y, Tatsuya O, Makoto O (2012) Development of a welding monitoring system for in-process duality control of thick walled pipe. Welding in the World 56:15–25. https://doi.org/10.1007/BF03321391
4. Kazuki K, Yosuke O, Satoshi F, Satoru A (2020) Study on welding phenomena observation method based on arc and molten pool light emission characteristics in visible and infrared wavelength region. Quarterly Journal of The Japan Welding Society 38(2):103–113. https://doi.org/10.2207/qjjws.38.103. (in Japanese)
5. Akira A (2014) The visualization of arc welding phenomenon using laser illumination. Journal of The Japan Welding Society 83(8):598–601. https://doi.org/10.2207/jjws.83.598. (in Japanese)
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