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Penetration monitoring and control of CO2 laser welding with coaxial visual sensing system
Chen, WZ ; Zhang, XD ; Jia, L ; Pu, YK
2010-05-10 ; 2010-05-10
会议名称LASERS IN MATERIAL PROCESSING AND MANUFACTURING II ; Conference on Material Processing and Manufacturing II ; Beijing, PEOPLES R CHINA ; Web of Science ; INSPEC
关键词laser welding coaxial visual sensing image processing penetration monitoring closed-loop control Engineering, Manufacturing Optics Physics, Applied
中文摘要This article designs a system for coaxially monitoring and penetration control in CO2 laser welding with a visual sensor. The key techniques for imaging the keyhole and eliminating the plasma-induced severe interference have been developed. The two-dimensional image of the keyhole has been obtained clearly in real time. It shows that once the penetration status changes from "partial penetration" or "weld pool penetration" (keyhole not penetrates workpiece) to "moderate full penetration"(keyhole penetrates workpiece), a lower grayscale spot appears in the center of the keyhole image and the grayscale curve presents a concavity in the center. This criterion of penetration recognition is suitable for most welding conditions. An image processing method that compares the average grayscale of a central image window at the keyhole center ((F) over bar (C)) and the average grayscale of an annular window surrounding the keyhole center ((F) over bar (R))has been proposed to quickly recognize "moderate full penetration", based on which, the closed-loop control of penetration can be carried out and the weld bead can be kept at "moderate full penetration" during welding.
会议录出版者SPIE-INT SOC OPTICAL ENGINEERING ; BELLINGHAM ; 1000 20TH ST, PO BOX 10, BELLINGHAM, WA 98227-0010 USA
语种英语 ; 英语
内容类型会议论文
源URL[http://hdl.handle.net/123456789/19123]  
专题清华大学
推荐引用方式
GB/T 7714
Chen, WZ,Zhang, XD,Jia, L,et al. Penetration monitoring and control of CO2 laser welding with coaxial visual sensing system[C]. 见:LASERS IN MATERIAL PROCESSING AND MANUFACTURING II, Conference on Material Processing and Manufacturing II, Beijing, PEOPLES R CHINA, Web of Science, INSPEC.
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