DocumentCode :
3539868
Title :
An application of neural networks to computer aided welding
Author :
Legoff, Olivier ; Hascoët, Jean-Yves
Author_Institution :
Ecole Centrale, Nantes Univ., France
Volume :
3
fYear :
1995
fDate :
10-13 Oct 1995
Firstpage :
317
Abstract :
Within the context of integrated design, we propose a new approach for off-line programming of welding robots by interfacing a CAD modeler (geometric database) and an artificial intelligence system (welding database). The CAD system used to design pieces to be assembled, allows us to automatically generate welding trajectories and extract the assembly features needed to determine welding parameters. Using these features, we propose a new approach to generate automatically welding parameters, in GMAW process, with, neural networks. We have chosen to use backpropagation neural networks because this approach integrates database and modeling aspects. Moreover a neural nets based system is easily improvable, it can enlarge his field of application using new experimental welding data. The proposed method is able to determine the welding process and the welding wire to use and then to compute the welding parameters. We present in this paper the system we have developed with neural networks, the results we obtain and the possibilities of the method
Keywords :
CAD/CAM; arc welding; backpropagation; database management systems; industrial control; industrial robots; knowledge based systems; neural nets; robot programming; CAD modeler; GMAW process; artificial intelligence system; backpropagation neural networks; computer-aided welding; geometric database; integrated design; off-line programming; welding database; welding parameters determination; welding robots; Application software; Artificial neural networks; Assembly systems; Computer networks; Design automation; Neural networks; Robot programming; Robotic assembly; Spatial databases; Welding;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Emerging Technologies and Factory Automation, 1995. ETFA '95, Proceedings., 1995 INRIA/IEEE Symposium on
Conference_Location :
Paris
Print_ISBN :
0-7803-2535-4
Type :
conf
DOI :
10.1109/ETFA.1995.496732
Filename :
496732
Link To Document :
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