Abstract
It is important to design intelligent welding robots to obtain a good quality of the welding. It is required to detect bead height and deviation from center of gap and to control arc length and back bead by adjusting welding conditions such as welding speed, power source voltage and wire feed rate. Authors propose arc sensor using neural networks to detect arc length and wire extension. By using them and by means of geometric method, the bead height is detected. Moreover, authors propose switch back welding method to get stable back bead. That is, welding torch is not only woven in the groove, but also moved backward and forward.
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References
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K. Ohshima, et. al., “Digital Control of Torch Position and Weld Pool in MIG-Welding Using Image Processing Device”, Trans. of IEEE IAS, Vol.28,No.3, pp.607–612(1992)
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© 1998 Springer-Verlag Berlin Heidelberg
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Eguchi, K., Yamane, S., Sugi, H., Oshima, K. (1998). Sensing of Arc Length and Wire Extension Using Neural Network in Robotic Welding. In: Polkowski, L., Skowron, A. (eds) Rough Sets and Current Trends in Computing. RSCTC 1998. Lecture Notes in Computer Science(), vol 1424. Springer, Berlin, Heidelberg. https://doi.org/10.1007/3-540-69115-4_23
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DOI: https://doi.org/10.1007/3-540-69115-4_23
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Online ISBN: 978-3-540-69115-0
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