About this Abstract |
Meeting |
2024 TMS Annual Meeting & Exhibition
|
Symposium
|
Computational Thermodynamics and Kinetics
|
Presentation Title |
The Alloy Optimization Software (TAOS): Application to Eutectic and Ordered HEAs |
Author(s) |
Aurelien Perron, Nicholas Ury, Brandon Bocklund, Vincenzo Lordi, Thomas Voisin, Joseph McKeown |
On-Site Speaker (Planned) |
Aurelien Perron |
Abstract Scope |
High entropy alloys (HEAs), or multi-principal element alloys (MPEAs) unlock the composition space from traditionally single-element rich alloys and offer a vast landscape of undiscovered alloys. However, when applying constraints during the alloy design process, the actual composition space becomes much smaller. Furthermore, finding this subset of compositions as well as optimizing an alloy for certain properties by hand becomes tedious. The Alloy Optimization Software (TAOS) was designed to overcome this issue by leveraging Calphad-based software packages such as Thermo-Calc and pycalphad coupled to blackbox optimizers. TAOS allows many types of objectives and constraints to be used for optimization. Two case studies focusing on eutectic and ordered HEAs are shown and the design process, lessons learned, and experimental results of the new alloy compositions will be discussed. |
Proceedings Inclusion? |
Planned: |
Keywords |
Computational Materials Science & Engineering, High-Entropy Alloys, Other |