About this Abstract |
| Meeting |
MS&T26: Materials Science & Technology
|
| Symposium
|
Progress in High Entropy Materials: Integrating Experiments, Computation, and Machine Learning
|
| Presentation Title |
Diffusion Modeling for Homogenization Design of Refractory High-Entropy Alloys |
| Author(s) |
Batuhan Tak, Marcia Ahn, Daozheng Li, Wei Xiong |
| On-Site Speaker (Planned) |
Batuhan Tak |
| Abstract Scope |
Refractory high-entropy alloys (RHEAs) are attracting significant interest for advanced engineering applications, yet their processing remains challenging due to high ductile-to-brittle transition temperatures (DBTT). Even when successfully fabricated, post-processing heat treatments are complicated by the sluggish diffusion of heavy refractory elements. In this work, novel RHEAs in the Zr-Nb-Ti-Mo-V-Ta-Al system were designed, produced by arc melting, and subjected to homogenization via hot isostatic pressing (HIP) to achieve compositional homogeneity. To guide the homogenization process design, both experimental characterization and DICTRA simulations within the CALPHAD framework were employed. An analytical model based on the Einstein relation was first applied, utilizing Calphad-assessed mobility data, eigenvalue decomposition to identify the slowest diffusion mode, and SEM-measured segregation spacings to estimate required homogenization times. DICTRA homogenization simulations were then conducted using conservative Scheil-Gulliver microsegregation profiles as initial conditions. This work demonstrates that Calphad-based diffusion modeling can effectively support post-processing heat treatment design for RHEAs. |
