ProgramMaster Logo
Conference Tools for MS&T21: 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&T21: Materials Science & Technology
Symposium Computation Assisted Materials Development for Improved Corrosion Resistance
Presentation Title Predictive Modeling of Microstructure Induced Variations in the Sensitization Response of 5XXX Aluminum Alloys
Author(s) Likun Sun, Syeda Noor E Sumaiya, Matthew A. Steiner
On-Site Speaker (Planned) Likun Sun
Abstract Scope Predictively modeling intergranular corrosion of sensitized 5XXX aluminum alloy plates has long been impeded by large inter-lot variations observed between nominally identical materials from different suppliers. Recent efforts have shown the kinetics of the grain boundary sensitization process itself are well described by a modified JMAK based impingement model, implying the vast majority of the variations are related to the geometric configuration of networked high-angle grain boundaries available for propagation normal to an exposed surface. Utilizing a graph theory based modeling framework for network connectivity, resiliency and shortest 3D pathway analysis, we will present the first quantitative predictions of a microstructural pathway contribution to the intergranular corrosion response of these materials. Then, through adaptations of the ASTM standard bulk sensitization test and experimental EBSD maps, we will demonstrate the isolated directional intergranular corrosion responses are in close agreement with the predicted contributions of the microstructure based on our model.

OTHER PAPERS PLANNED FOR THIS SYMPOSIUM

Back to the Basics: Revisiting Copper to Build Thermodynamic Corrosion Models
Computational Modeling of Corrosion and Mechanical Failure in Magnesium-Aluminum Vehicle Joints
Development of a Damage Function for Galvanic Corrosion Degradation of Coated Al Alloy Systems
Factors That Influence Materials Corrosion and How Modeling May Predict These Effects
First Steps Towards a Coupled Thermodynamic-kinetic Model to Predict Sulfate Deposit Induced Hot Corrosion of Aluminized Ni-based Superalloys
Hydrothermal Corrosion of Silicon Carbide
Modeling of High-temperature Corrosion of Zirconium Alloys Using the eXtended Finite Element Method (X-FEM)
Modelling Alkoxide Corrosion Initiation of Pure-aluminum in Ethanol with Integrated Simulation-based Experimental Methods
Modelling Microstructural Evolution of Aluminide Coatings on Ni-based Superalloys
Morphological Stability of Electrostrictive Thin Films
P2-17: Development of Rhenium Free Heat-resistant Nickel Alloy for the Cast Blades Production by the Method of Directional Crystallization
Predictive Modeling of Microstructure Induced Variations in the Sensitization Response of 5XXX Aluminum Alloys
Solubility Based Prediction of Corrosion in Molten Chloride Salts
Understanding and Reducing Bias in Machine Learning to Enhance Its Predictive and Extrapolative Capabilities: Application to the Oxidation Kinetics and Spallation Behavior of High-temperature NiCr-based Alloys

Questions about ProgramMaster? Contact programming@programmaster.org