High-brightness disk laser welding of magnesium alloys

Author(s):  
Mohamed Wahba ◽  
Masami Mizutani ◽  
Yousuke Kawahito ◽  
Seiji Katayama
2013 ◽  
Vol 60 ◽  
pp. 32-39 ◽  
Author(s):  
Deyong You ◽  
Xiangdong Gao ◽  
Seiji Katayama

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.


2017 ◽  
Vol 7 (9) ◽  
pp. 884 ◽  
Author(s):  
Teng Wang ◽  
Juequan Chen ◽  
Xiangdong Gao ◽  
Yuxin Qin

2012 ◽  
Vol 532-533 ◽  
pp. 330-334
Author(s):  
Qian Wen ◽  
Xiang Dong Gao

Metal vapor plume and spatters are the important phenomena in the process of high power disk laser welding, and there exists a close relationship with the welding stability. The images of metal vapor plume and spatters which captured by a high speed camera during high power disk laser welding were analyzed in this experiment. Image processing techniques such as median filtering, Wiener filtering, gray level threshold and lightness transform were used to process the images so that the image characteristic parameters such as the area and number of spatters in an image, the average gray, mean value, variance and entropy of a spatter gray level image and the coordinate ratio of the centriod of plume and the welding point can be extracted. To reflect the actual welding results obviously by those characteristic parameters, K-L transform method was used to get a new set of characteristic parameters. Experimental results showed that this new set of characteristic parameters could reflect the actual welding effectively.


2009 ◽  
Vol 35 (4) ◽  
pp. 189-198
Author(s):  
Yousuke KAWAHITO ◽  
Masami MIZUTANI ◽  
Seiji KATAYAMA

2017 ◽  
Vol 25 (9) ◽  
pp. 2524-2531
Author(s):  
陈子琴 CHEN Zi-qin ◽  
高向东 GAO Xiang-dong ◽  
王 琳 WANG Lin

2012 ◽  
Vol 212 (1) ◽  
pp. 262-275 ◽  
Author(s):  
Won-Ik Cho ◽  
Suck-Joo Na ◽  
Claus Thomy ◽  
Frank Vollertsen

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