Research of on-line inspection of laser welding seam quality of cold rolled strips
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1.
National Engineering Research Center for Laser Processing, School of Optical and Electronic Information, Huazhong University of Science and Technology, Wuhan 430074, China;
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2.
Wuhan Iron and Steel Corporation, Wuhan 430074, China
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Corresponding author:
TANG Xiahui, txh1116@hust.edu.cn
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Received Date:
2014-06-03
Accepted Date:
2014-07-03
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Abstract
On-line inspection of seam quality is one of the most important key technologies in laser welding of cold rolled strips. In order to solve the welding problems of TRUMPF12000 fast-flow axial laser welding equipment used in WISCO, such as misalignment,seam and weld morphology, three sensors were adopted to acquire image information including gap images before welding, penetration images during welding, and seam images after welding and so on. OTSU operation was used to find the threshold automatically. Projective geometry was used to convert image coordinates to workspace coordinates. Codes were written to extract image features. On-line seam quality inspection system was founded. Experiments were performed to test the inspection accuracy of 3mm thickness cold steel at weld velocity of 5m/min. The relative error of seam width was about 4.42%. The results show that the seam inspection system can offer the accurate judgment comparatively.
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References
|
[1]
|
FALLDORF SENSOR GMBH. Device for regulating the seam position during laser welding of butt joints carries out the regulation depending on the detected misalignment of molten bath to joint: DE 200810047140[P]. 2010-03-25. |
|
[2]
|
GAO S Y, WU R M, CHEN W D, et al. Development status of laser welding process monitor and seam quality detection[J]. World Iron Steel, 2010,10(3): 51-54 (in Chinese). |
|
[3]
|
de GRAAF M, AARTS R, JONKER B, et al. Real-time seam tracking for robotic laser welding using trajectory-based control[J]. Control Engineering Practice, 2010, 18(8): 944-953. |
|
[4]
|
LIU Y, WANG G, WANG G D, et al. For machine vision image acquisition and image processing of weld[J].Computer Engineering and Applications, 2014, 50(3):135-140 (in Chinese). |
|
[5]
|
HUO D, LU C X. X-ray imaging system for pipeline girth weld inspection based on CMOS video capture card[J].Instrument Technique and Sensor, 2013(12): 160-162 (in Chinese). |
|
[6]
|
HUGO MIEBACH GMBH. Laser beam welding of sheet, comprises arranging butt joint edges of sheet to be welded, which are adjacent to each other, in impact distance, and fusing by focused laser beam, which produces uniform weld seam without height offset: DE 201110002023[P]. 2012-10-18. |
|
[7]
|
THYSSENKRUPP STEEL AG. Laser beam welding EAD:CA2638007A[P]. 2010-06-22. |
|
[8]
|
SUN H X, MA Z H, CHEN H Y, et al. High-precision centering control system design of laser welder[J]. Electric Welding Machine, 2013, 43(6): 16-21 (in Chinese). |
|
[9]
|
VELARDE G, BINROTH C. Advances in data mining [M]. Berlin, Germany: Springer, 2010: 350-361. |
|
[10]
|
ZHANG W J,XU M. Research on structured light visual inspection system for weld of tailored blanks laser welding[J]. Machinery Design ＆ Manufacture, 2011,241(3): 156-158 (in Chinese). |
|
[11]
|
WU B, QIN Z Y. New approaches for the automatic selection of the optimal threshold in image binarization[J]. Journal of Institute of Surveying and Mapping, 2001, 18(4): 283-286 (in Chinese). |
|
[12]
|
GRAAF M W. Sensor-guided robotic laser welding [M]. Amersfoort, Netherlands:University of Twente, 2007:11-95. |
|
[13]
|
GAUTSCHI W. Numerical analysis [M]. New York, USA:Springer, 2011:159-232. |
|
[14]
|
FAUGERAS O, LUONG Q T. The geometry of multiple images: the laws that govern the formation of multiple images of a scene and some of their applications [M].Cambridge MA, USA:MIT Press,2004:1-61. |
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