Static recrystallization kinetics and texture evolution of low-temperature extruded Mg−Zn−Ca alloy during annealing
Bibliographic record
Abstract
A low-alloyed Mg−1.2Zn−0.1Ca alloy was extruded at 150 °C, followed by annealing at varying temperatures of 200−300 °C. The microstructural evolution and static recrystallization kinetics were investigated. The as-extruded alloy exhibited a bimodal structure consisting of fine recrystallized grains of 0.8 μm and coarse un- recrystallized grains, with a recrystallized fraction of ~67%. The recrystallization process at 250 °C was identified to be appropriate with a slow recrystallized grain growth rate. The grains with and orientations exhibited preferential growth advantages during long-term annealing. Grain boundary segregation exerted a strong Zener pinning effect on the grain boundaries, which not only increased the grain growth activation energy, but also affected the texture evolution.
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 teacher head, 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".