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Proceedings Paper

Simultaneous vision image sensing of weld pool of pulsed GTAW in multi-orientation in a frame
Author(s): Guangjun Zhang; Shanben Chen; Xiaodong Liu; Lin Wu
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Paper Abstract

Welding arc light spectrum in the range of 600nm∼700nm basically composes of continuous spectrum without metal spectrum and argon spectrum. The radiation strength of this continuous spectrum is low and smooth, which is benefit for reducing process, and the response sensitivity of CCD camera is high at this wavelength range. So, choose a suitable imaging spectrum window, use the continuous spectrum of this window to illuminate the welding pool and use CCD camera to sample the pool image. The reflection of arc light from liquid metal pool surface is specular reflection, the reflection of arc light from the workpiece surface is diffuse reflection, which improves the contrast of the welding pool image. This kind of vision image sensing method takes full advantage of the arc light as a benefit factor, and realizes to acquire the comprehensive information of the pool only from a single sensing source. Based on the above principle, this paper develops a visual image sensing system for weld zone of pulsed GTAW. The system as a part of the control system for weld shape can realize simultaneous image sensing of front topside, back topside and bottom side weld pool in a frame. Both the topside and bottom images concentrate on the same target of the CCD camera through the visual sensing light path system. The composite filter technology with low sampling image current is used to overcome the influence of arc light. The high quality and clear images of weld zones are acquired, which supply plenty information to study the dynamic process of pulsed GTAW. In addition, in order to extract the actual size parameters of weld pool, the image sensing system is calibrated.

Paper Details

Date Published: 25 September 2001
PDF: 5 pages
Proc. SPIE 4553, Visualization and Optimization Techniques, (25 September 2001); doi: 10.1117/12.441600
Show Author Affiliations
Guangjun Zhang, Harbin Institute of Technology (China)
Shanben Chen, Shanghai Jiaotong Univ. (China)
Xiaodong Liu, Harbin Institute of Technology (China)
Lin Wu, Harbin Institute of Technology (China)


Published in SPIE Proceedings Vol. 4553:
Visualization and Optimization Techniques

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