About this Abstract |
Meeting |
2020 TMS Annual Meeting & Exhibition
|
Symposium
|
High Entropy Alloys VIII
|
Presentation Title |
Phenomenological Approach to Multi-principal-element Structural Materials |
Author(s) |
Joseph S. Poon, Qi Jie, John Scully, Sean Agnew |
On-Site Speaker (Planned) |
Joseph S. Poon |
Abstract Scope |
The compositional and microstructural complexities of multi-principal-element alloys (MPEA) or compositional complex alloys (CCA) present great challenges for designing high-performance structural MPEA. The first challenge is to predict the compositional regions of different MPE alloys and composites with high reliability. We introduced several phase-diagram inspired parameters that were shown to enable clear 3D visualization of the solid solution regions. Encouraged by the finding, we employed machine learning to partition the formation regions of 600+ reported MPEA. The model achieved a single solid solution phase prediction rate greater than 80 %. Our phenomenological approach was validated by achieving near 80 % phase prediction rate for 40+ randomly selected compositions. The model is currently being utilized to design low-cost and low-density corrosion-resistant MPEA. |
Proceedings Inclusion? |
Planned: Supplemental Proceedings volume; Planned: Supplemental Proceedings volume |