| About this Abstract |
| Meeting |
2020 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advanced Characterization Techniques for Quantifying and Modeling Deformation
|
| Presentation Title |
K-3: 3D Characterization of Nano-scale Precipitates in Shape-memory Alloys |
| Author(s) |
Dexin Zhao, Tejas Umale, Jobin Joy, Ibrahim Karaman, Dimitris Lagoudas, Kelvin Xie |
| On-Site Speaker (Planned) |
Dexin Zhao |
| Abstract Scope |
Shape-memory alloys (SMAs) have wide aerospace and biomedical applications due to the capability to recover from large deformations via solid-to-solid transformations from martensitic to austenitic phases. Recently, Ni-Ti-Hf SMAs have attracted tremendous research interests because their phase transformation temperature is higher than that of traditional Ni-Ti counterparts. This expands their applications in high-temperature environments. Our previous research has indicated that the presence of nano-scale precipitates could further improve the cyclic transformation response in the Ni-Ti-Hf system. However, there lacks a detailed understanding of these precipitates, including chemistry, size, distribution and volume fraction as a function of aging time and temperature. In this work, we use STEM tomography to construct 3D microstructures for these nano-scale precipitates. Using mean-field homogenization techniques, the effective mechanical behavior is predicted from the microstructure. We want to characterize and understand why nano-scale precipitates in SMAs could lead to even more consistent actuation responses in Ni-Ti-Hf SMAs. |
| Proceedings Inclusion? |
Planned: Supplemental Proceedings volume |