About this Abstract |
| Meeting |
2026 TMS Annual Meeting & Exhibition
|
| Symposium
|
Fatigue in Materials: Fundamentals, Multiscale Characterizations and Computational Modeling
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| Presentation Title |
Multi-Modal Characterization of Cyclically Loaded Ni-Superalloy to Spatially Resolve Signatures of Deformation |
| Author(s) |
Diwakar Naragani, Patrick Steiner, Joshua Ward, Peter Phillips, Gregory Sparks, Kelly Nygren, Mark Obstalecki, Paul Shade |
| On-Site Speaker (Planned) |
Diwakar Naragani |
| Abstract Scope |
Multimodal characterization experiments are performed to inform and validate a modeling framework that can spatially resolve essential signatures of fatigue deformation solely from far-field diffraction data. In-situ X-ray diffraction microscopy characterizes grain-averaged lattice orientations and elastic strain tensors at designated states during R=0.1 cyclic loading of a Ni-based superalloy. Diffraction peak broadening provides additional information about the strain and orientation distributions within individual grains, however, it is not spatially resolved. High orientation resolution 3D EBSD is used to determine spatially resolved orientation distributions. This information is essential to identify locations of concentrated deformation leading to failure, however, the technique is destructive and may only be applied post-mortem. Locations of interest are alternatively identified during in-situ cyclic loading by processing the microstructure through a finite element framework, which resolves the intragranular fields using linear elasticity complemented by the theory of dislocations and incompatible deformation, and grounded with information from diffraction. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Characterization, Mechanical Properties, Modeling and Simulation |