About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Additive Manufacturing Materials, Processes and Applications for Energy Industry
|
| Presentation Title |
From Process Window to Performance: Multiscale LPBF Optimization of Y₂O₃-reinforced 316L ODS Stainless Steel for Advanced Energy Applications |
| Author(s) |
Seongun Yang, Zhengming Wang, Benjamin Cooper, Donghua Xu, Marc Albert, Somayeh Pasebani |
| On-Site Speaker (Planned) |
Seongun Yang |
| Abstract Scope |
This study investigates optimal LPBF parameters for 316L stainless steel (SS) powder lightly coated with 0.4 wt % and 0.8 wt % Y₂O₃. powder. Laser powers of 55-220 W and scan speeds of 300-900 mm s⁻¹ were explored; a volumetric energy density of ~366 J mm⁻³ produced fully dense (>99 %) coupons. SEM and EBSD revealed oxide diameters contracting from 30 nm to 50 nm and refined cellular-to-columnar grains as VED increased. A multiscale physical modeling framework-comprising a computational fluid dynamics (CFD) model, a density functional theory (DFT) model, and a cluster dynamics (CD) model-was developed to predict the particle size distribution (PSD) of Y₂O₃. nanoparticles in the as-fabricated 316L ODS SS sample. The predicted results were within ±20 % deviation of experimental measurements. These insights establish quantitative links between processing and structure, providing design guidelines for fabricating radiation-tolerant, high-temperature ODS 316L SS components for nuclear and aerospace applications. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Nuclear Materials, Powder Materials |