The temperature dependence of cyclic dynamic recrystallization in as-extruded pure zinc
Bibliographic record
Abstract
The deformation characteristics of as-extruded pure zinc were studied over a wide deformation temperature range from -40 °C to 300 °C. Two-cycle dynamic recrystallization was recognized for the first time to occur at different temperatures, leading to an oscillatory flow curve. The second stress peak was mitigated as the deformation temperature increased, while it disappeared at 300 °C. Different mechanisms, including twin dynamic recrystallization, twin-assisted grain boundary nucleation, and continuous mechanism were operative during the first dynamic recrystallization cycle, while the discontinuous mechanism was dominant during the second cycle. The accelerated dynamic recovery at high temperatures (200 °C) exhausted the driving force for the occurrence of the second dynamic recrystallization cycle. A distinct difference was observed between the microstructure developed at high and low temperatures. A bimodal recrystallized grains microstructure was formed at 25 °C, while a deformed microstructure including elongated grains was developed at 200 °C. Increasing the deformation temperature from 25 °C to 200 °C remarkably increased the grain orientation spread values and strengthened the final texture intensity, where the maximum texture intensity was remarkably increased from 9.95 to 30.64 multiple of a random distribution.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".