On-Line Empirical Models for Control of Bead Geometry in Robotic Arc Welding Process

Abstract:

Recently, not only robotic welders have replaced human welders in many welding applications, but also reasonable seam tracking systems are commercially available. However, fully adequate process control systems have not been developed due to a lack of reliable sensors and mathematical models that correlate welding parameters to the bead geometry for the automated welding process. Especially, real-time quality control in automated welding process is an important factor contributing to higher productivity, lower costs and greater reliability of the bead geometry. In this paper, on-line empirical models with experimental results are proposed in order to be applicable for the prediction of bead geometry. For development of the proposed predicting model, an attempt has been made to apply for a several methods. For the more accurate prediction, the prediction variables are first used to the surface temperatures measured using infrared thermometers with the welding parameters (welding current, arc voltage, CTWD and gas flow rate) because the surface temperature are strongly related to the formation of the bead geometry. And the developed model has been carried out a learning each time data acquired.

• Periodical: Advanced Materials Research (Volumes 264-265)
• Pages: 367-372
• DOI: https://doi.org/10.4028/www.scientific.net/AMR.264-265.367
• Online since: June 2011
• Authors: Joon Sik Son, Ill Soo Kim, H.H. Kim, H.H. Na, J.H. Lee
• Keywords: Bead Geometry, Control, Empirical Model, Robotic Arc Welding, Sensing

References

[1] Cook, G. E., Andersen, K. & Barrett, R. J., Feedback and adaptive control in welding, Proceedings of the 2nd International Conference on Trends in Welding Research, (1988), 891~903.

[2] Hunter, J. J., Bryce, G .W. & Doherty, J., On-line control of the arc welding process, Proceedings of the 2nd International Conference on Computer Technology in Welding, Cambridge, UK, June (1988), 37-1~37-12.

[3] Richardson, R. W., Gutow, A., Anderson, R. A. & Farson, D. F., Coaxial weld pool viewing for process monitoring and control, Welding Journal, 63(3) (1984), 43~50.

[4] Smartt, H. B. Einerson, P., Watkins, A. D. & Morris R. A., Gas metal arc welding process sensing and control, Advances in Welding Science and Technology : Proceedings of an International Conference on Trends in Welding Research, Gatlinburg, Tennessee, USA, 18~22, May (1986).