Development of High Power Direct Diode Laser Equipped Remote Laser Welding Robot System "LAPRISS" and Welding Process

2016 ◽  
Vol 85 (8) ◽  
pp. 707-709
Author(s):  
Atsuhiro KAWAMOTO
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.


2010 ◽  
Vol 24 (9) ◽  
pp. 689-698
Author(s):  
Andrzej Klimpel ◽  
Damian Janicki ◽  
Aleksander Lisiecki ◽  
Ziemowit Wilk

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

Energies ◽  
2019 ◽  
Vol 12 (9) ◽  
pp. 1799 ◽  
Author(s):  
Jumyung Um ◽  
Ian Anthony Stroud ◽  
Yong-keun Park

Due to concerns about energy use in production systems, energy-efficient processes have received much interest from the automotive industry recently. Remote laser welding is an innovative assembly process, but has a critical issue with the energy consumption. Robot companies provide only the average energy use in the technical specification, but process parameters such as robot movement, laser use, and welding path also affect the energy use. Existing literature focuses on measuring energy in standardized conditions in which the welding process is most frequently operated or on modularizing unified blocks in which energy can be estimated using simple calculations. In this paper, the authors propose an integrated approach considering both process variation and machine specification and multiple methods’ comparison. A deep learning approach is used for building the neural network integrated with the effects of process parameters and machine specification. The training dataset used is experimental data measured from a remote laser welding robot producing a car back door assembly. The proposed estimation model is compared with a linear regression approach and shows higher accuracy than other methods.


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.


Author(s):  
Tomotaka Hayashi ◽  
Yoji Inaba ◽  
Yosiyuki Matuhiro ◽  
Tateo Yamada ◽  
Takeo Kudo ◽  
...  

2014 ◽  
Vol 41 (6) ◽  
pp. 0603005 ◽  
Author(s):  
邹江林 Zou Jianglin ◽  
李飞 Li Fei ◽  
牛建强 Niu Jianqiang ◽  
孔晓芳 Kong Xiaofang ◽  
马然 Ma Ran ◽  
...  

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