Neural network modelling studies of steam oxidised kinetic behaviour of advanced steels and Ni-based alloys at 800 °C for 3000 h
Source abstract
Abstract
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 1 bar pressure in 100% steam at 800 °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).
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Hydrogen embrittlement and corrosion behaviors in metals · High-Temperature Coating Behaviors · Semiconductor materials and devices
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (44)
Show source-provided references
1. 2015
2. Boiler materials for ultra-Supercritical coal power plants steamside oxidation10.1361/105994906X108756 ↗
3. Long-Term performance of high-temperature foil alloys in water vapor containing environment. Part I: oxidation behavior10.1007/s11085-012-9343-1 ↗
4. Longterm oxidation of newly developed HIPIMS and PVD coatings with neural network prediction modelling10.1016/j.corsci.2012.12.016 ↗
5. A combined neural network and mechanistic approach for the prediction of corrosion rate and yield strength of magnesium-rare earth alloys10.1016/j.corsci.2010.09.013 ↗
6. L.M. Pike, Development of a fabricable gamma-prime (γ') strengthened superalloy, TMS (The Minerals, Metals and Materials Society) Superalloys 2008.10.7449/2008/Superalloys_2008_191_200 ↗
7. Time series forecasting with neural networks: a comparative study using the airline data
8. Remus · 2001 · 245
9. Peter Zhang · 2012 · 461
10. Phoneme recognition using time-delay neural networks10.1109/29.21701 ↗
11. Artificial neural networks In time series forecasting: a comparative analysis
12. Monotone piecewise cubic interpolation10.1137/0717021 ↗
13. Zhang · 1998
14. Training feed-forward networks with the Marquardt algorithm10.1109/72.329697 ↗
15. Calculations of parabolic reaction rate constants
16. Quadakkers · Oxid. Met. · 2004 · 61 · 1710.1023/B:OXID.0000016274.78642.ae ↗
17. Young · 2016
18. Gaskell · 1995 · 347
19. Turkdogan · 1980
20. Phase investigations under steam oxidation process at 800 °C for 1000 h of advanced steels and Ni-based alloys
21. Oxidation behaviour of cast Ni-Cr alloys in steam at 800 °C10.1179/1743284712Y.0000000103 ↗
22. Observations of nodule growth during the oxidation of pure binary iron-aluminum alloys10.1007/BF00666643 ↗
23. Kinetics of Breakaway oxidation of Fe-Cr and Fe-Cr-Ni alloys in dry and wet carbon dioxid10.1016/j.corsci.2013.08.008 ↗
24. Kubashewski · 1967 · vol. 1
25. Oxidation behavior of alloy HK40 in H2-H2O atmosphere10.1002/maco.201106336 ↗
26. Volatility of common protective oxides in high temperature water vapour: current understanding and unanswered questions10.4028/www.scientific.net/MSF.461-464.765 ↗
27. Chromium volatilization rates from Cr2O3 scales into flowing gases containing water vapor10.1007/s11085-006-9030-1 ↗
28. Effect of manganese additions on the reactive evaporation of chromium in Ni-Cr alloys10.1016/j.scriptamat.2006.01.026 ↗
29. Evaluation of the oxidation and Cr evaporation properties of the selected FeCr alloys used as SOFC interconnectors10.1016/j.ijhydene.2013.09.044 ↗
30. G. R. Holcomb, D. E. Alman, The Effect of Manganese Additions on the Reactive Evaporation of Chromium in Ni-Cr Alloys, Albany Research Center, U. S. Department of Energy, DEO/ARC-05-002.
31. Defect chemistry of rutile TiO2 from first principles calculations10.1021/jp304146e ↗
32. Nanoscale studies of the early stages of oxidation of a TiAl-Base alloy10.1007/s11085-004-7806-8 ↗
33. Oxidation of TiAl based intermetallics
34. Chromia layer growth on a Ni-based superalloy: sub-parabolic kinetics and the role of titanium10.1016/j.corsci.2013.05.016 ↗
35. Oxidation behavior of several chromia-forming commercial nickel-based superalloys10.1007/BF02134783 ↗
36. Oxidation characteristics and oxide layer evolution of alloy 617 and haynes 230 at 900 °C and 1100 °C10.1007/s11085-009-9142-5 ↗
37. The oxidation characteristics of the Ni-based superalloy, RR1000, at temperatures 700–900C10.3184/096034012X13341417107382 ↗
38. Z. G. Yang, G.G. Xia, J.W. Stevenson, P. Singh, U.S. Department of Energy, PNNL-15304 (2005).
39. Fry · 2002
40. Effects of water vapour on isothermal oxidation of chromia-forming alloys in Ar/O2 and Ar/H2 atmospheres10.1016/j.corsci.2009.08.032 ↗
41. G. Palmgren, Reducing metals as a brazing flux, US 20030201308 A1, US 10/413,682 (2003).
42. Steels in water vapor10.4028/www.scientific.net/MSF.369-372.353 ↗
43. Mechanisms of breakaway oxidation and application to a chromia-forming steel10.1023/A:1018855914737 ↗
44. Implications of steam oxidation for the service life of high-strength martensitic steel components in high-temperature plant10.1016/j.ijpvp.2006.09.008 ↗