Neural network modelling studies of steam oxidised kinetic behaviour of advanced steels and Ni-based alloys at 800 °C for 3000 h

Two solid-solution strengthened alloys, (HAYNES degrees 230 degrees, 617 alloy), two gamma - prime (gamma') strengthened alloys, (263 and HAYNES degrees 282 degrees) and Cr rich steels (309S, 310S and HR3C) were tested under 1 bar pressure in 100% steam at 800 degrees C for 3000 h. The steels showed better resistance in terms of corrosion behaviour, where no internal corrosion occurred. The exposed samples were characterised using SEM, EDS and XRD. Artificial neural networking (ANN) was used to predict kinetic behaviour of the alloys after exposure by Time Delay Neural Networking (TDNN) and Non-linear Autoregressive Neural Networking (NARNN).