About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Fundamental Science of Microstructural Evolution and Phase Transformations: An MPMD/FMD/SMD Symposium in Honor of Peter Voorhees
|
| Presentation Title |
Automated 3D microstructural characterization toward microstructure as a state estimator for navigable materials design |
| Author(s) |
Megna Shah, Michael Uchic, Michael Chapman, James Michael Scott, Sean Donegan, Gregory Sparks , Edwin Schwalbach, Jeff Simmons, Zach Varley, Veera Sundararaghavan |
| On-Site Speaker (Planned) |
Megna Shah |
| Abstract Scope |
Three dimensional, multi-modal serial sectioning tools developed at the Air Force Research Lab have generated 3D microstructure datasets that have either illuminated the structures in 3D or helped to validate descriptions generated by other modalities or predictions. The automation involved in both collecting the data and then registering and analyzing the data have been important for getting accurate and repeatable measurements, the details of which will be elaborated on in this talk. Furthermore, many of the automation tools, initially intended for repeatable measurements for generating 3D tomographic volumes, lend themselves to automated throughput of characterization (often 2D) of large numbers of samples as part of a materials development loop. This may lend itself to gathering enough data to characterize the underlying data topologies of the processing-structure-properties relationships, enabling autonomous navigable materials development. The framework of these ideas will also be discussed here. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Machine Learning, ICME |