Abnormal texture evolution of accumulative roll bonded Al–Cu by adding alumina particles
Bibliographic record
Abstract
Evolution of the texture of an Al-Cu composite after addition of alumina particles was investigated in details using X-Ray Diffraction (XRD) method. Composite samples were produced by the Accumulative Roll Bonding (ARB) and alumina particles were uniformly added to the composite using anodizing technique. The process was accompanied by cutting, stacking and rolling the lamellar materials up to seven times. In early stage of ARB, a shear texture close to the Rotated Cube formed for the Al side. This texture development was also confirmed by microstructural investigation on shear bands during deformation employing optical and scanning electron microscopy. In the last two cycles, a nearly random orientation of grains was developed. For the Cu side, however, the recrystallized Cube texture component was prominent for early ARB cycles due to the recrystallization phenomenon. Moreover, a mixture of rolling and recrystallized texture was detected for the Cu side at higher ARB cycles. Furthermore, evaluation of the grain boundaries showed an increase in the number of high angle grain boundaries for the final ARB cycles in both Al and Cu sides, confirming the occurrence of grain refinement during ARB. Localized particle deformation zone (PDZ) around alumina particles was also proposed to have a contribution to textural evolution of the composite.
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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 | 0.000 | 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) | 0.000 | 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".