Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
7893727 | Corrosion Science | 2018 | 70 Pages |
Abstract
Two solid-solution strengthened alloys, (HAYNES® 230®, 617 alloy), two gamma - prime (γ') strengthened alloys, (263 and HAYNES® 282®) and Cr rich steels (309S, 310S and HR3C) were tested under 1â¯bar pressure in 100% steam at 800â¯Â°C for 3000â¯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).
Related Topics
Physical Sciences and Engineering
Materials Science
Ceramics and Composites
Authors
T. Dudziak, P. Gajewski, B. ÅnieżyÅski, V. Deodeshmukh, M. Witkowska, W. Ratuszek, K. ChruÅciel,