Rolling Texture Development in Aluminum-Zinc Solid Solutions
Bibliographic record
Abstract
Rolling textures in face-centered cubic polycrystalline metals tend to transform from so-called pure metal to alloy textures with increasing stacking fault energy, so deformation texture correlates directly to stacking fault energy. As a 30th anniversary tribute to the classic copper-brass study by Hirsch and Lücke [1988], we recast the problem for binary aluminium alloys with 1, 10, 34 and 62wt.%Zn. Zinc (Zn) has a very high solid solubility in Al of up to 65at.% at 381°C, but at lower temperatures the Zn solid solution is unstable and can precipitate out or decompose spinodally. Current understanding is that Zn has no effect on the stacking fault energy of aluminum, so a priori, rolling of different Al-xZn alloys should result in no variation in deformation texture. Cast ingots were solutionized and promptly rolled 75 and 90% by multiple passes. X-ray texture pole figures were measured at the mid-plane of the rolled sheet, and the texture components calculated from the crystallographic orientation distribution function. Results show a decrease in {112}<11-1> and increase in {011}<21-1> with Zn content but uncorrelated changes in {123}<63-4> components. Bird's eye - like microstructural features observed in the high Zn containing alloys at 90% reduction were {011}<21-1> and resemble those observed by other researchers in severely rolled brass, Al-4.5Mg and 316L.
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 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 | 0.001 | 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 | 0.001 |
| Scholarly communication | 0.000 | 0.001 |
| 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".