Non‐Basal Texture Evolution during Annealing of Cold‐Deformed Magnesium Alloy
Bibliographic record
Abstract
In this study, effects of statically and dynamically formed precipitates on the microstructure and texture evolutions were investigated after two step deformations and subsequent post deformation annealing of Mg-3Al-3Sn (wt.%) alloy. At first, the alloy was compressed at low temperature and at a relatively high strain rate to simulate the rolling behavior. Annealing at moderate temperature recrystallizes the microstructure and forms static precipitation. Further deformation was performed on the recrystallized microstructures with the presence of precipitation followed by a subsequent annealing at the deformation temperature. Microstructures were characterized by optical and scanning electron microscopes and macro- and micro-texture were measured by X-ray diffraction (XRD) and Electron Back-Scattered Diffraction (EBSD) techniques, respectively. Fine recrystallized grains were obtained after annealing due to the presence of large volume fraction of precipitates. Also, the texture was weakened significantly after the final annealing step probably due a mechanism that involves the precipitates.
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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".