scholarly journals Science intensive technology of burr formation decrease at pulse laser cutting of sheet material

2016 ◽  
Vol 1 (1) ◽  
pp. 43-48
Author(s):  
Ю. Моргунов ◽  
Yu. Morgunov ◽  
С. Кочергин ◽  
S. Kochergin ◽  
Б. Саушкин ◽  
...  

Conditions are revealed and means are offered for minimizing burr formation at cutting of sheet material made of titanium alloy BT1-0 and steel 12X18H10T. The influence of imposing of mechanical vibrations in ultrasound range on burr formation was investigated and the possibility of reducing the amount of burr with ultrasonic influence was showed. The influence of wetting of a lower edge of molten metal on a cutting quality was investigated, the possibility of reducing the burr amount using coating was showed. The influence of pressure of an auxiliary gas on reducing the amount of burr was investigated and importance of this parameter was confirmed. The results allow 30-60 % reduction in the amount of burr under otherwise equal conditions.

Author(s):  
B. El Aoud ◽  
M. Boujelbene ◽  
A. Boudjemline ◽  
E. Bayraktar ◽  
S. Ben Salem ◽  
...  

AIP Advances ◽  
2014 ◽  
Vol 4 (3) ◽  
pp. 031310 ◽  
Author(s):  
Buxiang Zheng ◽  
Gedong Jiang ◽  
Wenjun Wang ◽  
Kedian Wang ◽  
Xuesong Mei

2018 ◽  
Vol 22 (6) ◽  
pp. 989-1011 ◽  
Author(s):  
Chakradhar Bandapalli ◽  
Kundan Kumar Singh ◽  
Bharatkumar Mohanbhai Sutaria ◽  
Dhananjay Vishnuprasad Bhatt

2012 ◽  
Vol 2012 ◽  
pp. 1-8
Author(s):  
Hitoshi Ozaki ◽  
Yosuke Koike ◽  
Hiroshi Kawakami ◽  
Jippei Suzuki

Recently, laser cutting is used in many industries. Generally, in laser cutting of metallic materials, suitable assist gas and its nozzle are needed to remove the molten metal. However, because of the gas nozzle should be set closer to the surface of a workpiece, existence of the nozzle seems to prevent laser cutting from being used flexible. Therefore, the new cutting process, Assist Gas Free laser cutting or AGF laser cutting, has been developed. In this process, the pressure at the bottom side of a workpiece is reduced by a vacuum pump, and the molten metal can be removed by the air flow caused by the pressure difference between both sides of the specimen. In this study, cutting properties of austenitic stainless steel by using AGF laser cutting with 2 kW CO2 laser were investigated. Laser power and cutting speed were varied in order to study the effect of these parameters on cutting properties. As a result, austenitic stainless steel could be cut with dross-free by AGF laser cutting. When laser power was 2.0 kW, cutting speed could be increased up to 100 mm/s, and kerf width at specimen surface was 0.28 mm.


CIRP Annals ◽  
1999 ◽  
Vol 48 (1) ◽  
pp. 73-76 ◽  
Author(s):  
D.A. Dornfeld ◽  
J.S. Kim ◽  
H. Dechow ◽  
J. Hewson ◽  
L.J. Chen

2015 ◽  
Vol 219 ◽  
pp. 230-236 ◽  
Author(s):  
Yoshihiro Sagisaka ◽  
Kiyomitsu Yamashita ◽  
Wataru Yanagihara ◽  
Hiroyasu Ueta

2014 ◽  
Vol 81 ◽  
pp. 2367-2372
Author(s):  
Yoshihiro Sagisaka ◽  
Kiyomitsu Yamashita ◽  
Wataru Yanagihara ◽  
Hiroyasu Ueta

Sensors ◽  
2021 ◽  
Vol 21 (17) ◽  
pp. 5831
Author(s):  
Benedikt Adelmann ◽  
Ralf Hellmann

In this contribution, we compare basic neural networks with convolutional neural networks for cut failure classification during fiber laser cutting. The experiments are performed by cutting thin electrical sheets with a 500 W single-mode fiber laser while taking coaxial camera images for the classification. The quality is grouped in the categories good cut, cuts with burr formation and cut interruptions. Indeed, our results reveal that both cut failures can be detected with one system. Independent of the neural network design and size, a minimum classification accuracy of 92.8% is achieved, which could be increased with more complex networks to 95.8%. Thus, convolutional neural networks reveal a slight performance advantage over basic neural networks, which yet is accompanied by a higher calculation time, which nevertheless is still below 2 ms. In a separated examination, cut interruptions can be detected with much higher accuracy as compared to burr formation. Overall, the results reveal the possibility to detect burr formations and cut interruptions during laser cutting simultaneously with high accuracy, as being desirable for industrial applications.


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