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Completed TRL 2 (started at 1, targeting 2)
We propose to develop a machine learning model to correlate the presence of additives in the oxide corrosion layer of an environmental barrier coating to oxygen diffusivity, and use this as a proxy to estimate the effect of the coating formulation to aging lifetime.
The proposed model would allow us to optimize environmental barrier coating formulations to decrease further oxygen diffusion through the oxide corrosion layer and therefore reduce further aging. This will increase the service life of turbine engine hot section components.
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