Abstract
To improve the programming efficiency of arc welding robots, the ANN (Artificial Neural Networks) technology was applied to the combined planning of welding pose and welding parameters. The series of CO2 arc welding experiments were performed by a Motoman UP20 robot, and the data of weld formation were collected under various welding poses and welding conditions. Thereby the relations between the weld formation and welding parameters were built. Then the experiment data were trained and simulated by an ANN using toolbox of MATLAB. The database of welding pose and welding parameters were established by the ANN self-learning function. After building the geometric model of the saddle-shaped weld, the information of welding pose was automatically picked-up by the MATLAB program, and then the job program of the robot was worked out according to the database. The results of experiments indicate that this planning method is feasible.
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© 2011 Springer-Verlag Berlin Heidelberg
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Chen, H., Meng, Y., Wang, X. (2011). Combined Planning between Welding Pose and Welding Parameters for an Arc Welding Robot. In: Tarn, TJ., Chen, SB., Fang, G. (eds) Robotic Welding, Intelligence and Automation. Lecture Notes in Electrical Engineering, vol 88. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-19959-2_9
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DOI: https://doi.org/10.1007/978-3-642-19959-2_9
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-19958-5
Online ISBN: 978-3-642-19959-2
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