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Meeting MS&T24: Materials Science & Technology
Symposium Computation Assisted Materials Development for Improved Corrosion Resistance
Presentation Title Re-Thinking Chemical Lifetime of Chromia-Forming Ferritic Stainless Steels
Author(s) Anton Chyrkin
On-Site Speaker (Planned) Anton Chyrkin
Abstract Scope Ferritic stainless steels (FSS) comprise a family of materials based on the Fe-Cr system with the Cr content ranging from 12 to 18 wt. %, some grades reaching 30%. FSS find a wide application in the Solid Oxide Fuel Cells (SOFCs) or Electrolyzer (SOE) technology as interconnect material. The commercially available steel grades are designed to form a slow-growing, electrically conductive, protective Cr2O3 scale at 600-850 °C.Thin-walled components made of FSS such as foils, wires or metallic foams have a limited Cr reservoir and, hence, a chemical lifetime. Analytical and numeric models were proposed to predict time to breakaway oxidation based on component geometry, alloy chemical composition and temperature.   In the present work, the classical lifetime model is extended to account for the alpha-to-gamma transformation occurring in the Fe-Cr system above 830 °C. The novel model is validated by case-studies involving commercial ferritic steels and model alloys.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Assessment of the Role of Minor Refractory Alloying Additions in Affecting Alumina-Scale Formation During High-Temperature Oxidation of Ni-based model alloys
Atomic Origins of CO2-Promoted Oxidation of Chromia-Forming Alloys
Impact of Water Vapor Content and Oxygen Partial Pressure on Oxidation Behavior of NiCr Alloys at 950 °C
New Approaches Towards Computational Modeling of Metal Dusting
Phase-Field Modeling of Thermally Grown Oxide and Induced Damage and Cracking in Environmental Barrier Coatings
Phase Field Numerical Model for Simulating the Activation and Diffusion Controlled Stress Corrosion Cracking Phenomena in Anisotropic Material
Predicting Oxidation Behavior of Ni-Based Superalloys with Physics-Informed Machine Learning
Quantifying the Impact of Microstructure on the Corrosion of Structural Alloys by Molten Salt Using Mesoscale Modeling with the MOOSE Framework
Re-Thinking Chemical Lifetime of Chromia-Forming Ferritic Stainless Steels

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