Naslov
The application of artificial neural network in the prediction of the as-cast impact toughness of spheroidal graphite cast iron

Autori
Glavaš, Zoran ; Lisjak, Dragutin ; Unkić, Faruk

Izvornik
Kovové materiály (0023-432X) 45 (2007), 1; 41-49

Vrsta, podvrsta i kategorija rada
Radovi u časopisima, članak, znanstveni

Ključne riječi
spheroidal graphite cast iron ; impact toughness ; artificial neural networks ; thermal analysis

Sažetak
This paper presents the application of artificial neural network (ANN) in the foundry process. Two-layer feedforward neural network which is trained using backpropagation algorithm that updates weights and biases values according to gradient descent momentum and an adaptive learning rate (Backpropagation Neural Network- BPNN) has been established to predict the as- cast impact toughness of spheroidal graphite cast iron (SGI) using the thermal analysis (TA) parameters as inputs. Generalization property of the developed ANN is very good, which is confirmed by a very good accordance between the predicted and the targeted values of as-cast impact toughness on a new data set that was not included in the training data set.

Izvorni jezik
Engleski

Znanstvena područja
Metalurgija

POVEZANOST RADA