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Meeting	MS&T22: Materials Science & Technology
Symposium	Uncertainty Quantification in Data-Driven Materials and Process Design
Presentation Title	A Feature-rich Approach to the Characterization of High Temperature, Sulfate-induced Corrosion of Advanced Alloys
Author(s)	David Poerschke, Atharva Chikhalikar
On-Site Speaker (Planned)	David Poerschke
Abstract Scope	Hot corrosion of alloys is caused by a variety of environmental contaminants including sulfates, chlorides, and oxides that deposit on alloy and coating surfaces. The corrosion pathway is strongly influenced by the nature of this deposit and the degree to which the deposit melts and spreads. Corrosive degradation manifests as local and global acceleration of the oxidation rate leading to increased thermally grown oxide (TGO) thickness, roughening of the alloy-TGO interface, and other localized attack. This work has developed automated image analysis tools and a statistical analysis workflow to quantify the effects of changes in alloy chemistry, corrosive deposit composition, and oxidation atmosphere on the prevalence of specific hot corrosion features. Probability distributions were analyzed for key features, and a power spectral density analysis was used to understand the frequency and intensity of interface roughening. This analysis framework enables the generation of large, statistically-meaningful datasets to train alloy design models.

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