About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Progress in High Entropy Materials: Integrating Experiments, Computation, and Machine Learning
|
| Presentation Title |
Predicting Interstitial Elements in Refractory Complex Concentrated Alloys |
| Author(s) |
Aomin Huang, Siya Zhu, Calvin Belcher, Ryker Rigsby, Diran Apelian, Raymundo Arróyave, Enrique Lavernia |
| On-Site Speaker (Planned) |
Aomin Huang |
| Abstract Scope |
Refractory complex concentrated alloys (RCCAs), composed of multiple principal refractory elements, represent a promising class of high-temperature structural materials due to their elevated melting points and thermal stability. Despite these advantages, RCCAs remain vulnerable to embrittlement caused by interstitial impurities—most notably oxygen, nitrogen, and carbon—whose small atomic radii facilitate diffusion and segregation at grain boundaries and interfaces. Understanding and predicting the roles of such interstitials are therefore essential for advancing alloy design. In this study, we investigate the solubility and thermodynamic behavior of various interstitials, including oxygen and boron, as well as their corresponding metallic compound, in a prototypical NbTiHfTa RCCA using an integrated experimental–computational approach. This combined methodology establishes a predictive framework for interstitial behavior in RCCAs, enabling strategies to mitigate grain-boundary weakening while exploiting opportunities to enhance properties through controlled interstitial alloying. |
