Applicability of Robotic Welding for Aluminum Boat Manufacturing


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Abstract


Robotic welding is commonly viewed as one of the most effective ways to reduce costs and increase competitiveness in welding production. However, several requirements need to be taken into account when exploiting welding robotics. The main issues to be considered are the construction of the item to be welded, for example, the joint types, and accessibility to weld sub-assemblies such as stiffeners and cross supports. Furthermore, the type of base material places some restrictions upon the sensing technology applied. This work studied the robotic welding of an aluminum boat. Several sensor technologies were examined and welding experiments undertaken to clarify their potential. Redesign of sub-assemblies of the aluminum boat through modularization and selection of suitable welding processes for aluminum welding are found to provide the optimal solution for the adoption of sensor guided robotic welding
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Keywords


Aluminum Welding; GMAW; GTAW; Optical Sensing; Real-Time Sensing; Robotic Welding; TAST

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References


E. Craig, The plasma arc process - a review, Welding Journal, Vol. 67, pp. 19-25, 1988.

W. Tuttle, Understanding aluminum welding, Welding Journal, Vol. 70, pp. 43-46, 1991.

Borodachenkova, M., Santos, S., Barlat, F., Gracio, J.J., A microstructure-based model for describing softening process during compression of Al-30%wt Zn alloy, (2013) International Review of Mechanical Engineering (IREME), 7 (6), pp. 1115-1120.

B. T. Gibson, D. H. Lammlein, T. J. Prater, W.R. Longhurst, C.D. Cox, M.C. Ballun, K.J. Dharmaraj, G.E. Cook, A.M. Strauss, Friction stir welding: process, automation and control, Journal of Manufacturing Processes, Vol. 170, pp. 1-18, 2013.

G. Mathers, Welding of Aluminium and Its Alloys (Woodhead Publishing, 2002).

H.-y. Shen, J. Wu, T. Lin, S. B. Chen, Arc welding robot system with seam tracking and weld pool control based on passive vision, The International Journal of Advanced Manufacturing Technology, Vol. 39, n. 7-8, pp. 669-678, 2008.

R. V. Blewett, Welding aluminium and its alloys - A review of application and requirements, Welding & Metal Fabrication, Vol. 59, n. 8, pp. 449-453, 1991.

J. Hoffman, The Challenges of Robotic Aluminum Gas Metal Arc Welding, Available at http://weldingdesign.com/archive/challenges-robotic-aluminum-gas-metal-arc-welding-Arc, 2007 (accessed: 23 September 2013).

H. Tong, T. Ueyama, S. Harada, M. Ushio, Quality and productivity improvement in aluminium alloy thin sheet welding using alternating current pulsed metal inert gas welding system, Science and Technology of Welding and Joining, Vol. 6, n. 4, pp. 203-208, 2001.

H. Tong, Study on the mechanism of fume formation in pulsed MIG welding of Al-Mg alloy, MEng thesis, Welding Research Institute, Osaka University, Osaka, Japan 1995.

H. Tong, T. Ueyama, K. Nakata, M. Ushio, High speed welding of aluminium alloy sheets using laser assisted alternating current pulsed metal inert gas process, Science and Technology of Welding and Joining, Vol. 8, n. 3, pp. 229-234, 2003.

J. Mortiner, Jaguar uses adaptive MIG welding to join C-pillars to and aluminium roof section in a new sports car, Sensor Review, Vol. 4, n. 26, pp. 272-276, 2006.

X. Chen, S. Chen, T. Lin, Y. Lei, Practical method to locate the initial weld position using visual technology, The International Journal of Advanced Manufacturing Technology, Vol. 30, n. 7-8, pp. 663-668, 2006.

C. Fan, F. Lv, S. Chen, Visual sensing and penetration control in aluminum alloy pulsed GTA welding, The International Journal of Advanced Manufacturing Technology, Vol. 42, n. 1-2, pp. 126-137, 2009.

E. O'Shea, Comparing intelligent robotic arc-sensing technologies, Welding magazine, Vol. 82, n. 6, pp. 14-17, 2009.

J. Berge, Basics of seam finding and tracking, Available at http://www.theweldingwire.com/_seam_tracking, 2007 (accessed 21 August 2013).

S. Wei, M. Kong, T. Lin, S. Chen, Three-dimensional weld seam tracking for robotic welding by composite sensing technology, Industrial Robot: An International Journal, Vol. 38, n. 5, pp. 500-508, 2005.

J. J. Wang, T. Lin, S. B. Chen, Obtaining weld pool vision information during aluminium alloy TIG welding, The International Journal of Advanced Manufacturing Technology, Vol. 26, n. 3, pp. 219-227, 2005.

Y. Xu, H. Yu, J. Zhong, T Lin, S. Chen, Real-time seam tracking control technology during welding robot GTAW process based on passive vision sensor, Journal of Materials Processing Technology, Vol. 212, n. 8, pp. 1654-1662, 2012.

H. Y. Shen, H. B. Ma, T. Lin, S. B. Chen, Research on weld pool control of welding robot with computer vision, Industrial Robot: An International Journal, Vol. 34, n. 6, pp. 465-475, 2007.

F. Chongjian, S. B. Chen, T. Lin, Visual sensing and image processing in aluminum alloy welding, In T. J. Tarn, S. B. Chen, C. Zhou (Eds.), Robotic Welding, Intelligence and Automation, LNCIS 362 (Springer Verlag, 2007, 275-280).

P. Kah, E. Hiltunen, J. Martikainen, Sensing in Aluminum Alloy Welding, Advanced Materials Research, Vol. 849, pp. 291-297, 2013.

Temmar, M., Khatir, M., Sellam, M., Study of the ductile-fragile transition welding effects on mechanical properties and microstructure evolution of 7075 t6 aluminum alloys, (2010) International Review of Mechanical Engineering (IREME), 4 (6), pp. 755-760.

S. Yu, Z. Yuyao, F. Ding, C. Jianhong, Development of a visual-based welding pool width control system for Al-P-MIG welding process, In T. J. Tarn, S. B. Chen, C. Zhou (Eds.), Robotic Welding, Intelligence and Automation, LNCIS 362 (Springer Verlag, 2007, 267-273).

L. Lu, D. Fan, J. Huang, J. Fan, Y. Shi, Wire extension control based on vision sensing in pulsed MIG welding of aluminum alloy, In T. J. Tarn, S. B. Chen, G. Fang (Eds.), Robotic Welding, Intelligence and Automation, LNEE 88 (Springer Verlag, 2010, 153-159).

L. Lu, D. Fan, J. Huang, Y. Shi, Decoupling control scheme for pulsed GMAW process of aluminum, Journal of Material Processing Technology, Vol. 212, n. 4, pp. 801-807, 2012.

Z. Chen, Y. Song, J. Zhang, W. Zhang, L. Jiang, X. Xia, Laser vision sensing based on adaptive welding for aluminum alloy, Journal of Beijing University of Technology, Vol. 32, n. 8, pp. 714-718, 2006.

E. Hiltunen, J. Martikainen, Modularization of Aluminium Boat’s Hull to Enhance Robotic Welding, Proc. of the 17th Int. Conf. Mechanika, Kaunas, 2012, pp. 77–81.


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