ProgramMaster Logo
Conference Tools for MS&T24: Materials Science & Technology
Login
Register as a New User
Help
Submit An Abstract
Propose A Symposium
Presenter/Author Tools
Organizer/Editor Tools
About this Abstract
Meeting MS&T24: Materials Science & Technology
Symposium Computation Assisted Materials Development for Improved Corrosion Resistance
Presentation Title Atomic Origins of CO2-Promoted Oxidation of Chromia-Forming Alloys
Author(s) Guangwen Zhou
On-Site Speaker (Planned) Guangwen Zhou
Abstract Scope The formation of atomic imperfections within oxide scales during high-temperature oxidation of heat-resistant alloys severely compromises the self-protective nature of the surface oxide layer. Directly investigating the dynamics of these atomic defects is challenging due to the extreme thermochemical conditions involved. CO2, a byproduct of petrochemical fuel combustion, is highly corrosive and leads to significant oxidation of critical components in power systems. Through environmental transmission electron microscopy, we observe the atomic-scale dynamics of vacancies in growing Cr2O3 films during high-temperature oxidation of NiCr alloy in CO2. Coordinated with atomistic modeling, we delineate how interstitial carbon derived from CO2 promotes the formation, migration, and clustering of atomic vacancies, thereby accelerating alloy oxidation.

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

Questions about ProgramMaster? Contact programming@programmaster.org