Static recrystallization and texture evolution in multiphase FeCrCuMnNi high-entropy alloys: Mechanisms and strength–ductility synergy
Bibliographic record
Abstract
This study focused on understanding the static recrystallization (SRX) behavior of a FeCrCuMnNi high-entropy alloy (HEA) after cold rolling to 85 % and subsequent isothermal annealing at 900 °C for durations ranging from 5 to 120 min. Electron backscatter diffraction and X-ray diffraction analyses revealed the presence of two face-centered cubic phases (FCC1 and FCC2) and a minor body-centered cubic phase (∼6 vol%) in the alloy. FCC1, enriched with over 50 at% copper, fully recrystallized within 5 min, forming equiaxed grains smaller than 5 µm with annealing twins. In contrast, FCC2 recrystallized at a relatively slower rate, requiring 120 min for completion, forming finer grains (<3 µm) via grain boundary bulging. Grain growth kinetics were characterized by a high exponent ( n = 5.8), i n dicating sluggish boundary migration due to solute drag, low stacking fault energy, and multiphase interactions. Mechanical testing revealed an exceptional strength–ductility synergy, with ultimate tensile strength exceeding 1000 and 800 MPa after 30 and 120 min of processing, respectively, while the elongation increased from 4 % to over 22 % and strength-ductility products from 55 to 185 MPa. Additionally, the texture transitioned from a strong rolling texture, characterized by Brass, S1, and Rotated-Goss components, to a weak Cube recrystallization texture via oriented nucleation. These findings highlight the role of compositional heterogeneity in tailoring SRX and mechanical performance, offering insights for optimizing HEAs for extreme-condition applications.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.001 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".