Hot deformation behavior and microstructural evolution for dual-phase Mg–9Li–3Al alloys
Bibliographic record
Abstract
The hot deformation behavior of dual-phase Mg–9Li–3Al alloys was investigated by the isothermal hot compression tests using the Gleeble-3500 thermal-mechanical simulation testing system over a temperature range from 473 to 623 K and a strain rate range of 0.001–1 s−1. The flow curves exhibited obvious serrations of periodic fluctuation at high strain rates, which can be considered as the Portevin-Le Chatelier effect. The relationship among flow stress, strain rate, and deformation temperature was analyzed. The deformation activation energy (Q) and some basic material factors (A, n, and α) were calculated based on the Zener–Hollomon equation. An approach of processing map composed of power dissipation and instability domains was established by the dynamic material model to reveal the hot workability. The flow instability domain only occurred at low temperatures and high strain rates. When the Mg–9Li–3Al alloy was deformed at 473 K and the strain rate of 1 s-1, numerous deformation twins were formed in α-Mg phases and, meanwhile, the β-Li phase was deformed and broken. When the temperature was increased to 573 K, the synergetic deformability between α-Mg and β-Li phases was improved due to the activation of more slip systems. However, the proportion of dynamic recrystallization was still low at the strain rate of 0.001 s-1. The needle-shaped α-Mg phase precipitated out in the β-Li matrix when the alloy was deformed at 623 K and the strain rate of 0.001 s-1. Its formation was attributed to the deformation-induced transformation. Moreover, the α-Mg phase can retard the dislocation movement and grain growth during deformation, leading to the precipitation/dispersion hardening.
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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 | 0.001 | 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".