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Laser Vision-Based Detection of Weld Penetration in GTAW An inspection method was proposed to monitor weld penetration for investigating the control of weld defects
Zhang, G.; Shi, Y.; Gu, Y.; Fan, D.; Zhu, M.
刊名WELDING JOURNAL
2017-05
卷号96期号:5页码:163S-172S
关键词Gas Tungsten Arc Welding (GTAW) Weld Penetration Laser Vision Image Processing Weld Pool Surface
ISSN号0043-2296
英文摘要In automatic gas tungsten arc welding (GTAW), incomplete joint weld penetration, excessive weld penetration, or weld pool collapse may occur due to changes in welding conditions or weld structures so that the required weld integrity cannot be assured. In order to real-time monitor the weld penetration to prevent these defects, an innovative method was proposed that detects the dynamic change of the reflection image area (RIA) for the laser pattern reflected by the specular weld pool surface. The dynamic change in the RIA was found to be determined by the weld pool surface, which was in turn determined by the weld penetration. Because of this physics mechanism, the RIA demonstrated two peaks that corresponded to the occurrences of the complete joint penetration and excessive penetration, respectively. This unique characteristic eases the determination of the weld penetration status based on a simple analysis of the one-dimensional RIA signal. Further, in comparison with the computation of the 3D surface of the weld pool, the RIA was computed simply by image binarization. The proposed method is not only innovative and physics based but also easy to implement online in real time. Experiments and comparative analyses from high-speed and back-side images, weld beads, and RIA signals verified the physics mechanism and the effectiveness of the proposed method.
资助项目National Natural Science Foundation of China[61365011] ; Young Creative Talent Support Program of Long Yuan of China and Hong Liu Outstanding Talent Training Plan of Lanzhou University of Technology[J201201] ; State Key Laboratory of Advanced Processing and Recycling of Nonferrous Metals of China[SKLAB02015008] ; Natural Science Foundation of Gansu Province of China[1508RJZA070]
WOS研究方向Metallurgy & Metallurgical Engineering
语种英语
出版者AMER WELDING SOC
WOS记录号WOS:000400805500032
状态已发表
内容类型期刊论文
源URL[http://119.78.100.223/handle/2XXMBERH/33280]  
专题材料科学与工程学院
通讯作者Zhang, G.
作者单位Lanzhou Univ Technol, Status Key Lab Adv Proc & Recycling Nonferrous Me, Lanzhou, Peoples R China
推荐引用方式
GB/T 7714
Zhang, G.,Shi, Y.,Gu, Y.,et al. Laser Vision-Based Detection of Weld Penetration in GTAW An inspection method was proposed to monitor weld penetration for investigating the control of weld defects[J]. WELDING JOURNAL,2017,96(5):163S-172S.
APA Zhang, G.,Shi, Y.,Gu, Y.,Fan, D.,&Zhu, M..(2017).Laser Vision-Based Detection of Weld Penetration in GTAW An inspection method was proposed to monitor weld penetration for investigating the control of weld defects.WELDING JOURNAL,96(5),163S-172S.
MLA Zhang, G.,et al."Laser Vision-Based Detection of Weld Penetration in GTAW An inspection method was proposed to monitor weld penetration for investigating the control of weld defects".WELDING JOURNAL 96.5(2017):163S-172S.
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