The reflection of projected laser lines may be used to determine the three-dimensional geometry of the reflecting weld pool surface. However, for gas metal arc welding (GMAW), the transfer of the droplets into the weld pool makes the weld pool surface highly dynamic and fluctuating. The position and geometry of the local reflecting surface, which intercepts and reflects the projected laser changes rapidly. As a result, the reflection rays change their trajectories rapidly. The contrast of laser reflection with the background is much reduced and methods are needed to extract laser reflection from low contrast images. To this end, an image quality measurement method is proposed based on the number of the edge points to determine if an image may be further processed. The image to be processed is then modeled as a superposition of the laser reflection and arc radiation background. Methods have been proposed to remove the uneven distribution of the arc radiation background from the image, such that a global threshold is possible to segment the laser reflection lines. The set of the laser line points are then clustered to form separate laser lines. These laser lines are then modeled and the parameters in the models are used to validate each modeled line. Processing results verified the effectiveness of the proposed methods/algorithms in providing laser lines from low contrast images that are formed by laser reflection from a high dynamic gas metal arc weld pool surface.
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e-mail: ymzhang@engr.uky.edu
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August 2011
Research Papers
Machine Recognition of Laser Reflection From Gas Metal Arc Weld Pool Surfaces
ZhenZhou Wang,
ZhenZhou Wang
Institute for Sustainable Manufacturing and Department of Electrical and Computer Engineering,
University of Kentucky
, Lexington, KY 40506
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YuMing Zhang,
YuMing Zhang
Institute for Sustainable Manufacturing and Department of Electrical and Computer Engineering,
e-mail: ymzhang@engr.uky.edu
University of Kentucky
, Lexington, KY 40506
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XiaoJi Ma
XiaoJi Ma
Institute for Sustainable Manufacturing and Department of Electrical and Computer Engineering,
University of Kentucky
, Lexington, KY 40506
Search for other works by this author on:
ZhenZhou Wang
Institute for Sustainable Manufacturing and Department of Electrical and Computer Engineering,
University of Kentucky
, Lexington, KY 40506
YuMing Zhang
Institute for Sustainable Manufacturing and Department of Electrical and Computer Engineering,
University of Kentucky
, Lexington, KY 40506e-mail: ymzhang@engr.uky.edu
XiaoJi Ma
Institute for Sustainable Manufacturing and Department of Electrical and Computer Engineering,
University of Kentucky
, Lexington, KY 40506J. Manuf. Sci. Eng. Aug 2011, 133(4): 041013 (13 pages)
Published Online: August 11, 2011
Article history
Received:
September 29, 2010
Revised:
June 16, 2011
Online:
August 11, 2011
Published:
August 11, 2011
Citation
Wang, Z., Zhang, Y., and Ma, X. (August 11, 2011). "Machine Recognition of Laser Reflection From Gas Metal Arc Weld Pool Surfaces." ASME. J. Manuf. Sci. Eng. August 2011; 133(4): 041013. https://doi.org/10.1115/1.4004498
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