About this Abstract |
| Meeting |
Superalloys 2021
|
| Symposium
|
Superalloys 2021
|
| Presentation Title |
Computational Methods to Accelerate Development of Corrosion Resistant Coatings for Industrial Gas Turbines |
| Author(s) |
Rishi Pillai, Kenneth Kane, Michael Lance, Bruce Pint |
| On-Site Speaker (Planned) |
Rishi Pillai |
| Abstract Scope |
Oxidation resistant overlay coatings protect the underlying superalloy component in industrial gas turbines from oxidation attack. Rate of depletion of the Al-rich b-phase in the bond coat governs the lifetime of these coatings. The applicability of a computational method in accelerating the development of corrosion resistant coatings and significantly reducing the extensive experimental effort to predict coating lifetimes and microstructural changes in three coated Ni-base superalloys for real operational durations (20-40 kh) was undertaken in the present study. Scanning electron microscopy (SEM), energy dispersive X-ray spectroscopy (EDX) and electron microprobe analysis (EPMA) were employed to characterize MCrAlY coated superalloy substrates (1483, 247 and X4) after exposure at 900 °C in air + 10% H2O for up to 20,000 h. The model predicted the longest coating lifetime for the coating on X4 substrate. Precipitation of g in the coatings was correctly predicted for all three coating systems. Additionally, the model was able to predict the formation of topologically close packed (TCP)-phases in the investigated coating systems. |
| Proceedings Inclusion? |
Undecided |