| About this Abstract |
| Meeting |
2023 TMS Annual Meeting & Exhibition
|
| Symposium
|
Methods, Techniques, and Materials Discovery of Irradiation Effect Using In-situ Microscopy
|
| Presentation Title |
Precipitate and Cavity Evolution in Alloy 718 Under High Temperature In-situ Ion Irradiation using Machine Learning |
| Author(s) |
Stephen Taller, Timothy Lach, Kai Sun |
| On-Site Speaker (Planned) |
Stephen Taller |
| Abstract Scope |
Ni-based superalloys are a candidate alloy class for advanced reactor applications because of their intrinsic creep resistance, corrosion resistance and high strength. Two Inconel 718 heats, one conventional and one additively manufactured, with high pre-existing precipitate densities were evaluated using in-situ dual ion irradiations up to 10 dpa using 1.17 MeV Kr ions with 400 appm He/dpa co-injected at 500-700°C at the Michigan Ion Beam Laboratory. HAADF images were collected continuously, and a dynamic segmentation convolutional neural network classified features in each image with several computer vision algorithms to track feature properties across frames. Pre-existing precipitates dissolved early (< 1 dpa) for all conditions. At 500°C, small cavities nucleated by 1 dpa, and phases with similar contrast to γ″ and δ emerged near 5 dpa. At 600°C and 700°C, both cavity nucleation and precipitate evolution were accelerated. The results are discussed in the context of rate theory modelling. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Nuclear Materials, Phase Transformations, Environmental Effects |