About this Abstract |
| Meeting |
2025 TMS Annual Meeting & Exhibition
|
| Symposium
|
Computational Thermodynamics and Kinetics
|
| Presentation Title |
A Dual-Solute Model for Grain Boundary Segregation Prediction in Nanocrystalline Metals |
| Author(s) |
Zuoyong Zhang, Chuang Deng |
| On-Site Speaker (Planned) |
Zuoyong Zhang |
| Abstract Scope |
Solute segregation at grain boundaries (GBs) can significantly influence the properties of nanocrystalline metals. In recent years, the spectral approach has emerged as a powerful tool to predict GB segregation. Nevertheless, previous prediction models based on this approach relied heavily on the per-site segregation energy spectrum, which excludes the information on solute-solute interactions. In this work, we introduced a dual-solute segregation framework whose segregation energy spectra intrinsically consider the solute-solute interactions. Further improvement was made by treating the GB volume fraction as a varying parameter, scaling with the total solute concentration and temperature. The refined dual-solute model can accurately predict solute segregation at GBs, obtained from hybrid Molecular Dynamics/Monte Carlo simulations within a broad temperature range with varying solute concentrations before forming secondary phases. This dual-solute model provides an alternative and effective way to predict GB segregation with considerable accuracy in nanocrystalline metals. |
| Proceedings Inclusion? |
Planned: |
| Keywords |
Computational Materials Science & Engineering, Nanotechnology, |