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
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;
Conference_Titel :
Industry Applications Conference, 2000. Conference Record of the 2000 IEEE
Conference_Location :
Rome
Print_ISBN :
0-7803-6401-5
DOI :
10.1109/IAS.2000.881969
