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Meeting MS&T21: Materials Science & Technology
Symposium Computation Assisted Materials Development for Improved Corrosion Resistance
Presentation Title Factors That Influence Materials Corrosion and How Modeling May Predict These Effects
Author(s) David Alan Shifler
On-Site Speaker (Planned) David Alan Shifler
Abstract Scope The Naval environment is very aggressive. Seawater affects nearly all structural materials to some extent. Marine corrosion is dependent on a number of factors such as environmental zone, alloy composition, water or fuel chemistry, pH, biofouling, microbiological organisms, pollution and contamination, alloy surface films, geometry and surface roughness, galvanic interactions, fluid velocity characteristics and mode, oxygen content, heat transfer rate, quality of air intake, and temperature. Understanding how these factors both at ambient and at temperatures approaching 1000-1500C may influence corrosion in the marine environment will provide keys to mitigation and control efforts. Computational and physical modeling of these effects combined with machine learning and experimental validation can provide insight and guidance to comprehend major and minor elements influencing corrosion that can subsequently provide a pathway to the creation and development of new materials and emerging corrosion control technologies.

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

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