|About this Abstract
||2018 TMS Annual Meeting & Exhibition
||Computational Design and Simulation of Materials (CDSM 2018): Computational Design of Materials
||Predicting Microstructural Evolution in Oxidation Resistant Coatings during Manufacturing and during Degradation in Service
||Rishi Pillai, Timur Galiullin, Wencai Leng, Daniel Grüner, Dmitry Naumenko, W.J. Quadakkers
|On-Site Speaker (Planned)
Evaluation of the high temperature behaviour of protective metallic coatings requires extensive experimental testing. Computational methods can substantially reduce the extensive experimental efforts required for coating evaluation and qualification.
In the current work, an in-house developed coupled thermodynamic and kinetic computational model was employed to predict the microstructural evolution in MCrAlY-type overlay and nickel aluminide diffusion coatings on Ni-base superalloys during the coating process and during the subsequent high temperature service.
Various coating/substrate combinations were exposed for up to 2000 h between 900-1100 °C in laboratory air. Element concentrations and phase distribution were obtained by scanning electron microscopy. Phases were identified by energy/wavelength dispersive X-ray spectroscopy and electron backscatter diffraction. The modelling results were validated with experimental data. The computational approach assists in estimating the lifetime of commercial coating systems and provides a tool to predict microstructural changes as a function of alloy/coating composition, time and temperature.
||Planned: Supplemental Proceedings volume