Intelligent Control of Arc Welding Dynamics during Robotic Welding Process

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This paper presents a sequential research works on visual information acquirement and intelligent control of arc weld pool dynamics and seam formation during pulsed GTAW (Gas Tungsten Arc Welding) in robotic welding process. The visual information acquirement methods are focused in computer vision sensing, image processing and characteristic extraction of the weld pool surface from the single-item pool images by particular algorithms for robotic welding process. Based on acquired visual characteristics of weld pool and established neural network and knowledge models for predicting dynamical characteristics of weld pool during robotic welding, corresponding control methods, such adaptive control, self-learning and other composite intelligent control strategies are developed to control welding pool dynamics during pulsed GTAW by welding robot. Some experiments and applications of intelligent control methods in welding robot systems are shown in the paper.

Info:

Periodical:

Materials Science Forum (Volumes 638-642)

Main Theme:

Edited by:

T. Chandra, N. Wanderka, W. Reimers , M. Ionescu

Pages:

3751-3756

DOI:

10.4028/www.scientific.net/MSF.638-642.3751

Citation:

S. B. Chen et al., "Intelligent Control of Arc Welding Dynamics during Robotic Welding Process", Materials Science Forum, Vols. 638-642, pp. 3751-3756, 2010

Online since:

January 2010

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Price:

$38.00

[1] P. Kopacek: Intelligent Manufacturing: Present State and Future Trends. Journal of Intelligent and Robotic Systems. Theory and Applications. Vol. 26(3) (1999), pp.217-229.

[2] R. Kovacevic, Y.M. Zhang: Real-time Image Processing for Monitoring the Free Weld Pool Surface. ASME Journal of Manufacturing Science and Engineering. Vol. 119(5), pp.161-169.

DOI: 10.1115/1.2831091

[3] K.A. Pietrzak, S.M. Packer: Vision-based Weld Pool Width Control. ASME Journal of Engineering for Industry. Vol. 116 (1994), pp.86-92.

DOI: 10.1115/1.2901813

[4] Y. Suga, M. Nukai, and S. Usui: Measurement of Molten Pool Shape and Penetration Control Applying Neural Network in TIG Weld of Thin Steel Plate. ISIJ International. Vol. 39(10) (1999), pp.1075-1080.

DOI: 10.2355/isijinternational.39.1075

[5] S.B. Chen, Y.J. Lou, L. Wu, and D.B. Zhao: Intelligent Methodology for Sensing, Modeling and Control of Pulsed GTAW: Part I - Bead-on-Plate Welding. Welding Journal, Vol. 79(6) (2000), p. 151s-163s.

[6] S.B. Chen, D.B. Zhao, L. Wu, and Y.J. Lou: Intelligent Methodology for Sensing, Modeling and Control of Pulsed GTAW: Part II - Butt Joint Welding. Welding Journal, Vol. 79(6) (2000), p. 164s-174s.

[7] S.B. Chen: Visual Information Acquirement and Real-time Control Methodologies for Weld Pool Dynamics during Pulsed GTAW, The Invited Paper of the THERMEC' 2006, Journal Materials Science Forum. vol. 539-543(4) (2007), pp.3996-4001.

DOI: 10.4028/0-87849-428-6.3996

[8] T.G. Lim, and H.S. Cho: Estimation of Weld Pool Sizes in GMA Welding Process using Neural Networks. The 3rd International Conference on Trends in Welding Research, Gaflinburg, Tennessee, (1993), pp.135-142.

[9] S.G. Tzafestas, E. Kyriannakis: Regulation of GMA Welding Thermal Characteristics via a Hierarchical MIMO Predictive Control Scheme Assuring Stability. IEEE Transactions on Industrial Electron. Vol. 47(3) (2000), pp.668-678.

DOI: 10.1109/41.847907

[10] S.B. Chen, L. Wu, Q.L. Wang: Self-learning Fuzzy Neural Networks for Control of Uncertain Systems with Time Delays. IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics, Vol. 27(1) (1997), p. 142s-148s.

DOI: 10.1109/3477.552196

[11] S.B. Chen, J. Wu: Intelligentized Methodology for Arc Welding Dynamical Process-Visual Information Acquiring, Knowledge Modeling and Intelligent Control. Springer. Lecture Notes in Electrical Engineering. Vol. 29.

DOI: 10.1007/978-3-540-85642-9_5

[12] W.J. Chen: Research on Local Autonomous Intelligent Welding Robot System and its Remote Control. Ph.D. Dissertation. Shanghai Jiaotong University, (2004).

[13] H.Y. Shen, J. Wu, T. Lin, and S.B. Chen: Arc Welding Robot System with Seam Tracking and Weld Pool Control based on Passive Vision. The international journal of advanced manufacturing, 2007, 39(7-8): 669-678.

DOI: 10.1007/s00170-007-1257-8

[14] W.Y. Wang: Research on Rough Set based Modeling for Controlling of Aluminium Alloy Pulsed GTAW Process. Master Thesis. Shanghai Jiaotong University, (2009).

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