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Meeting MS&T21: Materials Science & Technology
Symposium Computation Assisted Materials Development for Improved Corrosion Resistance
Presentation Title Computational Modeling of Corrosion and Mechanical Failure in Magnesium-Aluminum Vehicle Joints
Author(s) Kubra Karayagiz, Adam Powell, Qingli Ding, Brajendra Mishra
On-Site Speaker (Planned) Kubra Karayagiz
Abstract Scope The joining of Al and Mg is challenging due to galvanic corrosion, a common issue in dissimilar metal joints. While the advanced joining technologies, such as friction stir welding, produce fine-grained microstructure leading to slower corrosion, a better understanding of corrosion mechanisms on performance is needed for widespread adoption of this technique in the auto industry. Computational modeling tools to study the corrosion and mechanical failure in friction stir welded Al-Mg vehicle joints are presented in this work. First, a phase-field model to study corrosion in Al-Mg joints is developed. The model accounts for the conservation of charge, transport of ions in the electrolyte, and the electrochemical reactions at the metal-electrolyte interface. Next, a finite element model is developed to study the effect of corrosion on joint performance. The geometry of the mechanical hooks is extracted from the scanning electron microscopy images. Experiments are conducted for validation purposes.

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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