| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Designing Complex Microstructures through Additive Manufacturing
|
| Presentation Title |
Integrated Computational-Experimental Framework for Production of Additively Manufactured Functionally Graded Materials from Structural to Refractory Alloys |
| Author(s) |
Kaila Morgen Bertsch, Brandon Bocklund, Benjamin Ellyson, Jennifer Glerum, Michael Juhasz, Scott Peters, Raiyan Seede, Nicholas Ury, Aurelien Perron |
| On-Site Speaker (Planned) |
Kaila Morgen Bertsch |
| Abstract Scope |
Additive Manufacturing (AM) has enabled production of materials with smooth compositional gradients, or functionally graded materials (FGMs), offering unprecedented flexibility in multi-material joining and design without conventional limitations. To enable effective tailoring of material properties using FGMs, a combined computational-experimental framework was developed using gradients transitioning from titanium to refractory systems C103 and Ta as exemplars. A computational framework using path-planning algorithms to avoid suboptimal regions of phase space while simultaneously optimizing properties was developed and demonstrated for hot cracking index and CTE. To fabricate fully dense gradients with accurate composition, a methodology for grading AM process parameters was developed considering powder dissolution, mixing, and physical inputs. Gradient microstructures were characterized using SEM, EDS, EBSD, EPMA, and in situ synchrotron heating in as fabricated and heat treated states to validate computational predictions and evaluate the influence of non-equilibrium phenomena on FGM production and stability in elevated temperature service environments. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Additive Manufacturing, Computational Materials Science & Engineering, Other |