Abstract
BCC superalloys are a promising class of high-temperature materials with a wide range of lattice misfit values, ranging from near-zero to ∼8 %. Analogous to nickel superalloys, lattice misfit combined with elastic anisotropy dictates precipitate morphology (spherical, cuboidal, plate/needle-like), coarsening kinetics, strengthening mechanisms, and microstructure evolution, making misfit control critical for tailoring microstructural stability and creep resistance. However, misfit characterisation, especially at high temperatures, is still in its infancy to establish its links with mechanical properties. This perspective emphasises three aspects of BCC superalloys: representative misfit-driven microstructures and temperature-dependent misfit evolution, state-of-the-art diffraction techniques for high-temperature misfit quantification, and machine learning frameworks to accelerate alloy design involving misfit. By consolidating diverse misfit data and advanced characterisation/modelling strategies, we outline strategies to bridge computational and experimental gaps, advocating for physics-informed models and high-throughput techniques to design next-generation BCC superalloys and motivate systematic studies on the misfit-property relationship in this nascent material class.
Original language | English |
---|---|
Article number | 116802 |
Journal | Scripta Materialia |
DOIs | |
Publication status | Published - 1 Oct 2025 |
MoE publication type | A1 Journal article-refereed |
Keywords
- BCC superalloys
- Crystallography
- Lattice misfit
- Anisotropy
- Diffraction