| About this Abstract |
| Meeting |
2021 TMS Annual Meeting & Exhibition
|
| Symposium
|
Frontiers in Solidification Science VIII
|
| Presentation Title |
Microstructural Evolution in Metallic Alloys during Solidification |
| Author(s) |
Tiberiu Stan, Peter Voorhees |
| On-Site Speaker (Planned) |
Tiberiu Stan |
| Abstract Scope |
Many thermo-mechanical properties of metallic alloys are controlled by the microstructures left behind after solidification. We use time-resolved x-ray computed tomography (XCT) and serial sectioning to provide insights into solidification processes. The XCT datasets are reconstructed using TIMBIR to achieve high spatial (0.55 micron) and temporal (0.25 second) resolutions, and segmented using a variety of convolutional neural network machine learning architectures. The resulting 3D and 4D experiments give new insights into the evolution of dendritic morphologies, tip radii, crystallographic growth directions, and interfacial curvatures. Unlike dendrites in Al-Cu which have primary and secondary branches, we show that free-growing dendrites in Al-Zn alloys are hyperbranched and approximately self-similar during growth. We also capture dendrite arm fragmentation events and subsequent motion both with and against gravity, largely due to changes in solid and liquid densities. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Solidification, Machine Learning, Characterization |