| About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Advances in Multi-Principal Element Alloys IV: Mechanical Behavior
|
| Presentation Title |
Stoichiometry and Microstructure-Dependent Hardness-Mapping Prediction and Verification for High-Entropy Alloys |
| Author(s) |
E-Wen Huang, Tu-Ngoc Lam, Fu-Shiang Yang, Wen-Jay Lee |
| On-Site Speaker (Planned) |
E-Wen Huang |
| Abstract Scope |
The addition of Hf and Zr was found to increase the phase transformation temperatures above 100 oC in the as-cast Cu15Ni35Ti25Hf12.5Zr12.5 high-entropy shape-memory alloy (HESMA). Favorable element distribution of Ni-Hf-rich dendrite and Cu-Ti-Zr-rich inter-dendrite regions in the as-cast Cu15Ni35Ti25Hf12.5Zr12.5 was obtained using high spatial resolution X-ray fluorescence (XRF) maps. The local phase distribution of B19’ martensite and B2 austenite was determined from X-ray nanodiffraction (XND). We applied machine learning with artificial neural network (ANN) method to predict the local element-dependent hardness based on XRF maps. Furthermore, the local mapping of hardness was experimentally conducted using nanoindentation technique to compare with the predicted hardness. The good accordance between the predicted and measured hardness broadens potential composition strategy of new HESMAs. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, High-Entropy Alloys, Mechanical Properties |