High-throughput investigation of grain boundary segregation landscape in the Fe–Ni–Cr system
Abstract Understanding phase stability in multicomponent alloy systems, particularly at internal interfaces, remains a major challenge in materials science. Grain boundary (co-)segregation is a critical factor influencing interfacial stability, often leading to microstructural degradation and safety concerns. In this study, we investigate segregation behavior in the face-centered cubic (FCC) Fe–Ni–Cr alloy system, a foundational system for many steels, superalloys, and high-entropy alloys. CALPHAD-integrated density-based phase-field model is extended to compute the segregation of Fe, Ni, and Cr at grain boundaries as a function of the bulk composition, with the relative GB density serving as a key parameter representing grain boundary character. A high-throughput computational screening is performed across the stable compositional space at 723 K, 1023 K, and 1323 K. The results reveal a rich and temperature-sensitive segregation landscape, with element-specific enrichment and depletion patterns that vary with alloy composition. Notably, opposite segregation trends between Ni and Cr, and frequent co-segregation of Fe and Ni, are observed at lower temperatures. The developed framework captures the coupled effects of temperature, chemical interactions, grain boundary structure, and enthalpy-entropy compensation on segregation and GB phase stability. The origin and implications of these phenomena are discussed in terms of the underlying thermodynamic driving forces.
Authors
- Jeff Murugan (ORCID: https://orcid.org/0000-0002-4873-1588)
- Reza Darvishi Kamachali (ORCID: https://orcid.org/0000-0002-5906-9673)
Institutions
- Federal Institute For Materials Research and Testing (DE)
- University of Münster (DE)
Publication Details
- Journal
- Journal of Materials Science
- Published
- 2025-11-08
- DOI
- https://doi.org/10.1007/s10853-025-11717-5
- Citations
- 1
- Primary Topic
- High Temperature Alloys and Creep
- Type
- article
- Field-Weighted Citation Impact
- 0.71
Funders
- Deutsche Forschungsgemeinschaft