Analysis of characteristics of spatters during high-power disk laser welding

Gao Xiang-Dong; Long Guan-Fu; Wang Run-Lin; Katayama Seiji

doi:10.7498/aps.61.098103

Abstract

Real-time monitoring and control of welding process is important for laser welding quality. Therefore, the variation rule of sensing characteristics of welding process and their relations to weld quality should be known. Spatter is one of the most important phenomena in high-power laser welding process. The characteristics of spatters are related to the quality and stability of welding and the utilization of the laser power. An approach to analyze the characteristics of spatters is investigated during high-power disk laser bead-on-plate welding of Type 304 austenitic stainless steel plates at a continuous wave laser power of 10 kW. An ultraviolet and visible sensitive high-speed video camera is used to capture the dynamic images of the laser welding spatters. The number, area, and ejecting distance of spatters and the centroid height of spatter images are calculated as the characteristic parameters of spatters by using the image processing technology. The weld bead width is considered as a parameter reflecting the quality and stability of welding process. The linear and the higher order polynomial curve fitting for the data of the characteristic parameters are used to study the variation rule of the characteristic parameters of spatters. In comparison of the fluctuation of the weld bead width, the correlation between the spatter characteristics and the quality and stability of welding is studied. The experimental results of actual laser welding show that the quality and stability of a high-power disk laser welding of Type 304 austenitic stainless steel plates could be monitored and estimated by analyzing the characteristic parameters of spatters, which is the foundation for monitoring and control of welding quality in real time.

Keywords:

Authors and contacts

1.
Faculty of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China;
2.
Joining and Welding Research Institute, Osaka University, Osaka 567-0047, Japan
Funds: Project supported by the National Natural Science Foundation of China (Grant No. 51175095), the Natural Science Foundation of Guangdong Province, China (Grant Nos. 10251009001000001, 9151009001000020), and the Specialized Research Fund for the Doctoral Program of Higher Education of China (Grant No.20104420110001).

References

[1]	Cheolhee Kim, Junghak Kim, Hyunsik Lim, Jeonghan Kim 2008 Journal of Materials Processing Technology 201 521
[2]	Gao X D, Mo L, Zhong X G, You D Y, Katayama Seiji 2011 Acta Phys. Sin. 60 088105 (in Chinese)[高向东, 莫玲, 仲训杲, 游德勇, Katayama Seiji 2011 60 088105]
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Cited By

[1]	Cheolhee Kim, Junghak Kim, Hyunsik Lim, Jeonghan Kim 2008 Journal of Materials Processing Technology 201 521
[2]	Gao X D, Mo L, Zhong X G, You D Y, Katayama Seiji 2011 Acta Phys. Sin. 60 088105 (in Chinese)[高向东, 莫玲, 仲训杲, 游德勇, Katayama Seiji 2011 60 088105]
[3]	Xia Z L,Guo P T,Xue Y Y,Huang C H, Li Z W 2010 Acta Phys. Sin. 59 3523 (in Chinese)[夏志林, 郭培涛, 薛亦渝, 黄才华, 李展望2010 59 3523]
[4]	Lu H L,Wang S J 2009 Acta Phys. Sin. 58 354 (in Chinese)[陆赫林, 王顺金2009 58 354]
[5]	Huang Q J 2008 Acta Phys. Sin. 57 2314 (in Chinese)[黄庆举2008 57 2314]
[6]	Gunther Schwab, Tyrone L. Vincent, John Steele P. H. September 3-5, 2008 17th IEEE International Conference on Control Applications Part of 2008 IEEE Multi-conference on Systems and Control San Antonio, Texas, USA
[7]	Xu Z Y, Natesan K, Reed C B, Smith D L 2000 Refractory Metals & Hard Materials 18 231
[8]	Kang S K, Na S J 2005 Welding Journal 84 188
[9]	Khan M M A, Romoli L, Fiaschi M, Dini G, Sarri F 2011 Optics & Laser Technology 43 158
[10]	Gonzalez R C, Woods R E, Eddins S L 2005 Digital image processing using MATLAB (Beijing: Publishing House of Electronics Industry) p252
[11]	Wang R H 2002 Numerical approximation (Beijing: Higher Education Press) p89[王仁宏2002数值逼近 (北京: 高等教育出版社) 第89页]

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Catalog

Vol. 61, Issue 9 - 2012-05-05

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