The Influence of Al<sub>3</sub>Zr Precipitation on the Superplastic Behaviour of Aluminium Alloys
Bibliographic record
Abstract
The development of a fine distribution of Al3Zr precipitates is essential to confer superplastic properties in a number of industrial and experimental aluminium alloys. In this paper the influence of a number of production variables on the development of the Al3Zr dispersions in both AA2004 and Al-4Mg-Zr alloys is investigated. Microsegregation leads to a heterogeneous distribution of supersaturated zirconium after solidification. Under certain processing conditions this can lead to the formation of precipitate free zones which are detrimental to SPF performance. An intermediate temperature hold (360°C) can strongly influence the final dispersion and in turn can reduce the detrimental effect of the precipitate free zones. Other key factors that influence the Al3Zr distribution (such as zirconium content, heating rate and hold times) are also discussed.
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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 | 0.001 |
| 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".