| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Elucidating Microstructural Evolution Under Extreme Environments
|
| Presentation Title |
Interpreting Surrogate Experiments Using Computation to Accelerate Materials Qualification for Neutron Irradiation Environments |
| Author(s) |
Andrea Jokisaari, Sourabh Kadambi, Sanjoy Mazumder, Mathew Swisher, W. Tanner Yorgason |
| On-Site Speaker (Planned) |
Andrea Jokisaari |
| Abstract Scope |
Ion irradiation experiments offer the promise of inexpensive and rapid radiation damage testing in lieu of costly and time-consuming neutron irradiation; however, computational modeling is needed to correctly interpret and extend ion irradiation results. A multi-scale physics-based modeling approach is presented for the interpretation of in situ and ex situ ion irradiations of 316 stainless steel manufactured via laser powder bed fusion. Using density functional theory, machine learning, molecular dynamics, cluster dynamics, and phase field modeling, we interpret the formation of dislocation loops, voids, and radiation-induced segregation within the unique additively manufactured microstructure with dislocation cells and chemical segregation. We demonstrate the impact of carbon content on vacancy motion and local dislocation density on dislocation loop and void formation. We also show that dislocation cell walls and grain boundaries experience radiation-induced segregation, but dislocation cell wall sink strength is less and dislocation cells gradually disappear due to absorption of defects. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Nuclear Materials, Additive Manufacturing |