Abstract
Development research has been carried out in order to solve a practical industrial problem: to counteract axial displacement (axial drift or axial creep) of workpieces during the welding process. Solutions found in the literature generally provide adequate results; however, they are mechanically complex with high purchase and maintenance costs. A mechanically simple and inexpensive solution is proposed in this paper. Axial drift is measured with a low-cost custom-built contact displacement sensor. This sensor can measure axial drift without calibration or set-up operations. It is highly robust in order to function correctly in industrial conditions. A pneumatic cylinder moves the idle turning roll along a rail, modifying the longitudinal position of the idle turning roll in order to counteract axial drift. The position of the idle turning roll is controlled by a control algorithm, which consists of a set of rules. Tests were carried out in order to validate the proposed solution, which can be applied to existing turning rolls thereby significantly reducing costs.
Article PDF
Similar content being viewed by others
Avoid common mistakes on your manuscript.
References
Wuich W (1975) Tungsten inert-gas welding. Technica 24(12):954–958
Minnick WH (2007) Gas metal arc welding handbook textbook. Goodheart–Willcox, Tinley Park
Cary HB (1986) Gas metal arc welding. Encycl Mater Sci Eng (Pergamon Press Ltd) 3:1909–1912
Cary HB (1986) Shielded metal arc welding. Encycl Mater Sci Eng (Pergamon Press Ltd) 6
Fernández A, García R, Alvarez E et al (2011) Low-cost system for weld tracking based on artificial vision. IEEE Trans Ind Appl 47(3)
Ge J, Zhu Z, He D, Chen L (2005) A vision-based algorithm for seam detection in a PAW process for large-diameter stainless steel pipes. Int J Adv Manuf Technol 26(9):1006–1011, Springer
Wei S, Kong M, Lin T, Chen S (2011) Autonomous seam acquisition and tracking for robotic welding based on passive vision. Robotic Welding, Intelligence and Automation 88:41–48
Huang W, Kovacevic R (2012) Development of a real-time laser-based machine vision system to monitor and control welding processes. Int J Adv Manuf Tech 63(1–14):235–248
Bonaccorso F, Cantelli L, Muscato G (2011) An arc welding robot for a shaped metal deposition plant: modular software interface and sensors. IEEE Trans Ind Electron 58(8)
Jäger M, Hamprecht FA (2009) Principal component imagery for the quality monitoring of dynamic laser welding processes. IEEE Trans Ind Electron 56(4)
Naso D, Turchiano B, Pantaleo P (2005) A fuzzy-logic based optical sensor for online weld defect-detection. IEEE Trans Ind Inform 1(4)
Hang M, Zheng W, Liang Z (1997) Further investigation of welding turning rolls without axial drifting. J Gansu Univ p 3
Shen F, Xue J (1998) Study on the controlling mechanism for the anti- drifting welding roller bed. J-Xian Jiaotong Univ 32:28–31
Hang M, Liang Z, Ping L, Zheng W, Fenggang S (1998) Investigation on welding turning rolls with the function of anti-axial drifting. Transactions of the China Welding Institution, 1998-S1
Flaig RT (2009) US Patent 0109030 A1. Anti-drift turning roll system
Risse JT (1958) US Patent 2865690. Rotary drum and shelf-adjusting means therefor
Hansen E (1983) US Patent 4407621. Self adjusting turning roll assembly
Shen F, Pan X, Xue J (1997) Experiment and study into the axial drifting of the cylinder of a welding roller bed. J Mater Process Technol 63(1):881–886
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Alvarez, E.A., Villán, A.F., Acevedo, R.G. et al. Control system to counteract axial displacement during the welding of huge pipes. Int J Adv Manuf Technol 69, 647–655 (2013). https://doi.org/10.1007/s00170-013-5074-y
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00170-013-5074-y