About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Materials for Reusable Rocket Engines
|
| Presentation Title |
Characterization of Additively Manufactured MA754 Contaminates for Compositional Optimization |
| Author(s) |
Donovan Nicholas Leonard, Joseph Simpson, Roger (Wenyuan) Hou, Zachary C. Cordero |
| On-Site Speaker (Planned) |
Donovan Nicholas Leonard |
| Abstract Scope |
Additive manufacturing (AM) is increasingly utilized to create complex geometries for aerospace and reusable rocket applications. However, legacy alloys produced via AM often exhibited distinct microstructures and mechanical properties due to unique thermal histories. MA754, an oxide dispersion strengthened (ODS) alloy, incorporates Y₂O₃ nanoparticles to enhance creep resistance. In laser powder bed fusion (LPBF), processing conditions caused these nanoparticles to agglomerate into large slag inclusions due to solubility differences with aluminum. To date, unintended oxide phases resulting from contamination in MA754 had not been thoroughly characterized. This research characterized the size distributions, interactions with Al and Y₂O₃, and the intra- versus inter-granular locations of these oxide phases. Insights from this characterization informed the optimization of MA754 composition for LPBF, ensuring beneficial additions were maximized while contaminants were identified and controlled to improve performance in AM applications. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Characterization, Machine Learning |