Laser cutting of thick steel plates and simulated steel components using a 30 kW fiber laser

2015 ◽  
Vol 53 (6) ◽  
pp. 916-920 ◽  
Author(s):  
Koji Tamura ◽  
Ryoya Ishigami ◽  
Ryuichiro Yamagishi
2018 ◽  
Vol 103 ◽  
pp. 311-317 ◽  
Author(s):  
Sangwoo Seon ◽  
Jae Sung Shin ◽  
Seong Yong Oh ◽  
Hyunmin Park ◽  
Chin-Man Chung ◽  
...  

2014 ◽  
Vol 26 (4) ◽  
pp. 042004 ◽  
Author(s):  
Grigory V. Ermolaev ◽  
Petr V. Yudin ◽  
Francis Briand ◽  
Alexandr V. Zaitsev ◽  
Oleg B. Kovalev

2018 ◽  
Vol 100 ◽  
pp. 98-104 ◽  
Author(s):  
Jae Sung Shin ◽  
Seong Yong Oh ◽  
Hyunmin Park ◽  
Chin-Man Chung ◽  
Sangwoo Seon ◽  
...  

2007 ◽  
Vol 344 ◽  
pp. 161-168 ◽  
Author(s):  
Johan De Keuster ◽  
Joost R. Duflou ◽  
Jean Pierre Kruth

In this paper, the development of a monitoring system for high-power CO2 laser cutting of thick steel plates (>15 mm) is reported. The aim of this system is to increase the robustness and autonomy of the laser cutting process of thick plates, which is still characterized by more narrow process windows compared to cutting of thin sheets. The applicability for monitoring purposes of two types of sensors is investigated: the acoustic microphone and the photodiode. For both types, correlation between the sensor output and the cut quality is investigated. Both contour cutting and piercing are covered in the study. The full penetration of the piercing can be monitored by both sensors. Furthermore quantitative relations between cut quality parameters and photodiode signal parameters could be determined: the mean level of the photodiode signal correlates well with the drag of the striations and dross formation, whereas the standard deviation proves to correlate well with the occurrence of burning defects and the cut edge roughness.


2018 ◽  
Vol 102 ◽  
pp. 34-44 ◽  
Author(s):  
Ivan Bunaziv ◽  
Jan Frostevarg ◽  
Odd M. Akselsen ◽  
Alexander F.H. Kaplan

2021 ◽  
pp. 108896
Author(s):  
Seong Y. Oh ◽  
Jae Sung Shin ◽  
Seungkyu Park ◽  
Sungok Kwon ◽  
Sungmo Nam ◽  
...  

2016 ◽  
Vol 84 ◽  
pp. 134-143 ◽  
Author(s):  
Nguyen Phi Long ◽  
Yukihiro Matsunaga ◽  
Toshihide Hanari ◽  
Tomonori Yamada ◽  
Toshiharu Muramatsu

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