Prediction of residual stresses in gas arc welding by back propagation neural network
M Ahmadzadeh, AH Fard, B Saranjam, HR Salimi - NDT & E International, 2012 - Elsevier
This paper presents the development of a back propagation neural network model for the
prediction of maximum residual stresses produced in gas metal arc welding process. The
model is based on results obtained from finite element models. The thickness of the plate,
electrode size, welding speed, current/voltage intensity have been considered as the input
parameters and the maximum residual stresses due to welding as output parameters in the
development of the model. The Levenberg–Marquardt method as a feed forward back …
prediction of maximum residual stresses produced in gas metal arc welding process. The
model is based on results obtained from finite element models. The thickness of the plate,
electrode size, welding speed, current/voltage intensity have been considered as the input
parameters and the maximum residual stresses due to welding as output parameters in the
development of the model. The Levenberg–Marquardt method as a feed forward back …