DocumentCode
1737432
Title
The use of neural network in metal industry
Author
Vasile, D. ; Vasile, D. ; Thamodharan, M. ; Wolf, Alon
Author_Institution
Sch. of Eng. & Appl. Sci., Southern Methodist Univ., Dallas, TX, USA
Volume
2
fYear
2000
fDate
2000
Firstpage
1104
Abstract
The backpropagation algorithm is used to predict the bending angle obtained by laser forming. Aluminum and steel samples were used, and material thickness, laser power and scanning speed are the variables. The experimental relationship between the bending angle and the number of scanning passes agrees well with the relationship predicted by the training process algorithm
Keywords
backpropagation; laser beam machining; metallurgical industries; neurocontrollers; process control; aluminium; backpropagation algorithm; bending angle; laser forming; laser power; material thickness; metal industry; neurocontrol algorithm; scanning passes; scanning speed; steel; training process algorithm; Intelligent networks; Laser beams; Metals industry; Neural networks; Optical control; Power lasers; Shape control; Space technology; Temperature; Thermal stresses;
fLanguage
English
Publisher
ieee
Conference_Titel
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location
Rome
ISSN
0197-2618
Print_ISBN
0-7803-6401-5
Type
conf
DOI
10.1109/IAS.2000.881969
Filename
881969
Link To Document