| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Characterization of Minerals, Metals and Materials 2025: In-Situ Characterization Techniques
|
| Presentation Title |
Estimation of Elastic Constants in Low Symmetry Materials With In-Situ Neutron Diffraction |
| Author(s) |
Nathan Peterson, Daniel Savage, Donald Brown, Bjorn Clausen, Aaron Stebner, Elena Garlea, Sean R. Agnew |
| On-Site Speaker (Planned) |
Nathan Peterson |
| Abstract Scope |
Knowledge of the single crystal elastic constants for a given material is essential for many modeling efforts in materials science. Traditionally, these constants were measured with acoustic methods on isolated single crystals, which are difficult, if not impossible, to obtain for certain low symmetry materials (e.g. B19’ NiTi). An in-direct measurement can be made using in-situ diffraction measurements on polycrystals, which provides a measurement of the stress-strain response at both the aggregate and grain set level. The estimation of the single crystal elastic constants becomes an inverse problem. In this work, a combined elastic self-consistent model and whole pattern fitting approach was used to analyze in-situ neutron diffraction data to estimate the elastic constants of low symmetry materials. The robustness of the approach was evaluated through a variance-based sensitivity analysis. An estimation of uncertainty using a Markov Chain Monte Carlo (MCMC) approach will also be discussed. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Machine Learning, Nuclear Materials, Characterization |