| About this Abstract |
| Meeting |
2024 TMS Annual Meeting & Exhibition
|
| Symposium
|
Refractory Metals 2024
|
| Presentation Title |
Discovery of Oxidation-Resistant Refractory Compositionally Complex Alloys Through High-throughput Calculations and Experiments |
| Author(s) |
Akhil Bejjipurapu, Michael S Titus, Kenneth H Sandhage |
| On-Site Speaker (Planned) |
Akhil Bejjipurapu |
| Abstract Scope |
Refractory Compositionally Complex Alloys (RCCAs) offer a promising alternative to Nickel-based superalloys in high-temperature applications due to their desirable characteristics. However, achieving satisfactory high-temperature oxidation and environmental resistance in RCCAs remains a challenge. This research aims to identify RCCA compositions with external protective scales (e.g., Al2O3, Cr2O3, or SiO2) that enhance oxidation resistance. The vast design space, encompassing nine refractory elements and aluminum, complicates efficient exploration. To address this challenge, machine learning models are being developed to accelerate the search for oxidation-resistant RCCAs. These models utilize a combination of composition-based descriptors, atomistic descriptors related to oxide layering, and descriptors based on oxide properties. Leveraging these unique Random Forest models, predictions of RCCAs' mass gain behavior will be made, aiding in the efficient identification of promising candidates. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
High-Temperature Materials, High-Entropy Alloys, |