About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Thermodynamics and Kinetics
|
| Presentation Title |
Predicting The Kinetic Behavior of Gradient Materials |
| Author(s) |
Samuel Price, Ian McCue, Zhaoxi Cao |
| On-Site Speaker (Planned) |
Samuel Price |
| Abstract Scope |
Functionally graded materials (FGMs) have received significant attention for their ability to create components with locally tailored properties. The vast design freedom afforded by FGMs has also necessitated computational methods to select optimal gradients from the sea of possibilities. We have previously developed a computational framework that directly couples CALPHAD sampling with modified path planning algorithms to intelligently search the composition space orders of magnitude faster than previous approaches, enabling gradient design in many-element systems that avoid intermetallic phases. Now we turn our attention to expanding our framework to predict the effects of diffusion on phase formation. Our goal is to develop heuristics from thermodynamic data to judge the relative quality of different composition gradients based on how likely they are to form deleterious phases at elevated temperatures. This provides insight to how a gradient can be synthesized from precursors and its stability once formed. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Modeling and Simulation, Phase Transformations |