Real-time Process Monitoring of Laser Welding by Infrared Camera and Image Processing

Boonrit Kaewprachum; Pornsak Srisungsitthisunti

doi:10.4028/www.scientific.net/KEM.856.160

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Real-time Process Monitoring of Laser Welding by Infrared Camera and Image Processing
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HomeKey Engineering MaterialsKey Engineering Materials Vol. 856Real-time Process Monitoring of Laser Welding by...

Real-time Process Monitoring of Laser Welding by Infrared Camera and Image Processing

Abstract:

Understanding and predicting relationships between laser welding process parameters, such as laser power and welding speed, and molten pool have been studied widely in order to critically control and improve laser welding. The laser welding processes are difficult to monitor in real time because of high temperature and rapid heating characteristics. In this study, infrared camera was set to collect data and provide real time monitoring system to determine the molten pool characteristics and weld quality. This study carried out a laser welding of SS400 low carbon steel and analyzed real-time image of the welding process to determine the average temperature of molten pool and calculate the size of molten pool. By varying the laser power and the welding speed, the infrared camera and imaging processing technique can monitor change of molten pool temperature in a range of 1000 C to 15000 C with about 1% temperature fluctuation. In addition, the size of molten pool can be calculated from the temperature profile of the welding zone. The calculated molten pool size was about 95% accurate compared to the measured size from microscope imaging.

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Periodical:

Key Engineering Materials (Volume 856)

Pages:

160-168

DOI:

https://doi.org/10.4028/www.scientific.net/KEM.856.160

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Online since:

August 2020

Authors:

Boonrit Kaewprachum, Pornsak Srisungsitthisunti*

Keywords:

Infrared Camera, Laser Welding, Molten Pool, Process Monitoring

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* - Corresponding Author

References

[1] D. Y. You, X. D. Gao, S. Katayama, Review of laser welding monitoring, Sci.Technol. Weld. Join 19 (2014) 181-201.

Google Scholar

[2] C. H. Kim, D.C. Ahn, Coaxial monitoring of keyhole during Yb:YAG laser welding, Opt. Laser Technol. 44 (2012) 1874-1880.

DOI: 10.1016/j.optlastec.2012.02.025

Google Scholar

[3] L. Cui, X.Y. Li, D.Y. He, L. Chen, S.L. Gong, Study on microtexture of laser welded 5A90 aluminium-lithium alloys using electron backscattered diffraction, Sci.Technol. Weld. Join 18 (2013) 204-209.

DOI: 10.1179/1362171812y.0000000092

Google Scholar

[4] A. Thamna, P. Srisungsitthisunti and S. Dechjarem, Real-Time Visual Inspection and Rejection Machine for Bullet Production, 2018 2nd International Conference on Engineering Innovation (ICEI), Bangkok (2018) 13-17.

DOI: 10.1109/icei18.2018.8448641

Google Scholar

[5] J. J. Blecher, T.A. Palmer, T. DebRoy, Mitigation of Root Defect in Laser and Hybrid Laser-Arc Welding, Weld J. 94 (2015) 73-82.

Google Scholar

[6] H. L. Wei, J.W. Elmer, T. DebRoy, Crystal growth during keyhole mode laser welding, Acta Mater. 133 (2017) 10-20.

DOI: 10.1016/j.actamat.2017.04.074

Google Scholar

[7] M. Stadler, M. Masquere, J. Mougenot, P. Freton, J.J. Gonzalez, High-speedcamera on molten pool in transferred arc configuration, IEEE Trans. Plasma Sci.42 (2014) 3403-3404.

DOI: 10.1109/tps.2014.2353671

Google Scholar

[8] Y. Zhai, L. Yang, T. He, Y. Liu, Weld morphology and microstructure during simulated local dry underwater FCTIG, J. Mater. Process Technol. 250 (2017) 73-80.

DOI: 10.1016/j.jmatprotec.2017.07.010

Google Scholar

[9] A. Kaplan, Fresnel absorption of 1μm- and 10μm-laser beams at the keyhole wall during laser beam welding: Comparison between smooth and wavy surfaces. Appl Surf Sci. 258(8) (2012) 3354-3363.

DOI: 10.1016/j.apsusc.2011.08.086

Google Scholar

[10] R. Usamentiaga, P. Venegas, J. Guerediaga, L. Vega, J. Molleda, F. G. Bulnes, Infrared thermography for temperature measurement and non-destructive testing. Sensors. 14(7) (2014) 12305-12348.

DOI: 10.3390/s140712305

Google Scholar