[en] The paper deals with an application of Artificial Neural Networks (ANNs) to predict the
geometry of hot forged pieces after cooling. Different ANNs have been considered and evaluated; then a network with two hidden layers has been set up. Training and testing data have been obtained through calibrated numerical simulations of the cooling phase carried out with a finite element (F.E.) code. The good agreement between predicted and numerical results confirms the possibility of using well-trained neural network to foresee final dimensions of pieces after hot forging operations.
Disciplines :
Civil engineering
Author, co-author :
Casotto, S.
Bruschi, S.
Pascon, Frédéric ; Université de Liège - ULiège > Département ArGEnCo > Département ArGEnCo
Habraken, Anne ; Université de Liège - ULiège > Département ArGEnCo > Département ArGEnCo
Language :
English
Title :
Development of a neural network to predict the final geometry of forged rings after cooling
Publication date :
2005
Event name :
8th ESAFORM Conference on Material Forming
Event place :
Cluj Napoca, Romania
Event date :
du 27 au 29 avril 2005
Audience :
International
Main work title :
Proceedings of the 8th ESAFORM Conference on Material Forming (Vol. 2)
