Seam tracking with adaptive image capture for fine-tuning of a high power laser welding process

Author(s):  
Olli Lahdenoja ◽  
Tero Säntti ◽  
Mika Laiho ◽  
Ari Paasio ◽  
Jonne K. Poikonen
Author(s):  
Tomotaka Hayashi ◽  
Yoji Inaba ◽  
Yosiyuki Matuhiro ◽  
Tateo Yamada ◽  
Takeo Kudo ◽  
...  

2012 ◽  
Vol 201-202 ◽  
pp. 91-94
Author(s):  
Yan Xi Zhang ◽  
Xiang Dong Gao

Configuration of a molten pool is related to the laser welding quality. Analyzing the configuration of a molten pool is important to monitor the laser welding process. This paper proposes a method of segmentation of a molten pool and its shadow during high power disk laser welding, consequently provides the groundwork for reconstruction of the molten pool and analysis of welding quality. Subsection linear stretching histogram equalization was applied to enhance the contrast of the original images firstly, and then edge detection was used to highlight the edges. After that we used the morphology filtering method to produce the segmentation mask, and then combined the mask with the original images to get the final segmentation results. Also, the proposed method was compared with other traditional methods. The experimental results showed that our method not only could give better segmentation results and process large quantities images automatically, but also overcame the less-segmentation problems of traditional methods.


2004 ◽  
Vol 39 (19) ◽  
pp. 6117-6119 ◽  
Author(s):  
Young-Tae Yoo ◽  
Dong-Gyu Ahn ◽  
Kung-Bo Ro ◽  
Seong-Wook Song ◽  
Ho-Jun Shin ◽  
...  

2008 ◽  
Vol 35 (12) ◽  
pp. 2047-2051 ◽  
Author(s):  
李亚玲 Li Yaling ◽  
黄坚 Huang Jian ◽  
高志国 Gao Zhiguo ◽  
吴毅雄 Wu Yixiong ◽  
阎启 Yan Qi

2019 ◽  
Vol 31 (2) ◽  
pp. 022418 ◽  
Author(s):  
Rabi Lahdo ◽  
Oliver Seffer ◽  
Stefan Kaierle ◽  
Ludger Overmeyer

2012 ◽  
Vol 201-202 ◽  
pp. 1076-1079
Author(s):  
De Yong You ◽  
Xiang Dong Gao

Laser welding process has been widely used in industrial manufacturing. The purpose of this paper is to explore the inter-relation between laser welding results and the laser-induced plume behavior. High-power disk laser welding of stainless steel type304 was performed at different welding speeds. Combing the high speed camera and ultraviolet sensing filter, the plume image sequences of laser welding process have been obtained. Plume features including plume volume and plume flowing direction have been extracted by using high-speed photography and image processing technology. The dynamic behavior of laser-induced plume was investigated. The results showed that the laser-induced plume feature, especially the plume volume, was closely related to laser welding process conditions.


2014 ◽  
Vol 65 (2) ◽  
pp. 199-204 ◽  
Author(s):  
S. Kumar ◽  
C. S. Viswanadham ◽  
S. Bhattacharya ◽  
S. B. Roy ◽  
K. Bhanumurthy ◽  
...  

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