| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Materials Aging and Compatibility: Experimental and Computational Approaches to Enable Lifetime Predictions
|
| Presentation Title |
Modeling Corrosion: Efficient Models and Validation for Long Term Degradation |
| Author(s) |
Ryan Katona, David Montes de Oca Zapiain, Matthew Roop, Aditya Venkatraman, Philip Noell, Rebecca Schaller |
| On-Site Speaker (Planned) |
Ryan Katona |
| Abstract Scope |
Corrosion is a detrimental materials degradation mechanism to many in-service systems. Due to the large array of influential variables, corrosion can be time intensive to evaluate experimentally. To reduce these costs, Finite Element Method (FEM) simulations can be used to assess the rate and extent of corrosion. While a useful tool, computational complexities exist from experimental variation in boundary conditions to various fidelities of electrochemical physics. Such complexities can substantially influence computational time and accuracy of model outputs. Herein, the importance of boundary conditions is explored, identifying critical parameters for accurate simulations in atmospheric scenarios in addition to weighing the computational cost and accuracy of high and low fidelity models. Additionally, novel experimental validation of the developed models will be showcased.
Acknowledgements
SNL is managed and operated by NTESS under DOE NNSA contract DE-NA0003525. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Environmental Effects, Iron and Steel, Machine Learning |