About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Algorithms Development in Materials Science and Engineering
|
| Presentation Title |
Topological Quantification of 3D Polycrystalline Microstructures |
| Author(s) |
Simon Mason, David Rowenhorst |
| On-Site Speaker (Planned) |
Simon Mason |
| Abstract Scope |
With the increasing availability of 3D materials science datasets, new methods must be developed for microstructure analysis that were traditionally performed on 2D cross sections of the microstructure. This presents a challenging problem, with the combined complexity of new materials, processing techniques, and larger dataset sizes, quantitative, algorithmic approaches are needed to efficiently analyze data.
In this talk, we will outline methods for the adaptation of topological- and persistent homology-based tools for analysis of polycrystalline microstructures, allowing the extraction of reduced-order representations of multi-dimensional data. These tools can be used to establish material state distance metrics, measuring the similarity between microstructures. Simulated microstructures will be used to show the ability to map out material domains and trace the temporal evolution of microstructures in grain coarsening scenarios.
We will also show the potential for persistent homology to accelerate analysis in additively manufactured materials with complex, anisotropic grain structures and textures. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Computational Materials Science & Engineering, ICME |