Effect of asymmetric forward rolling (AFR) on the microstructure, texture, mechanical properties, and Portevin–Le Chatelier behavior of AA5052 alloy
Bibliographic record
Abstract
This study investigates the effects of asymmetric forward rolling (AFR) on the microstructure, texture, mechanical properties, and Portevin–Le Chatelier (PLC) behavior of AA5052 aluminum alloy sheets. With increasing strain from 10% to 50%, the microstructure exhibited a progressive increase in deformation bands. At 70% AFR strain, these bands became indistinguishable due to significant thinning of α grains, accompanied by the formation of numerous subgrains indicative of dynamic recovery (DRV). X-ray diffraction analysis revealed peak shifting to lower angles and broadening with up to 50% strain, attributed to lattice distortion from high dislocation density. Intense DRV in the 50% and 70% AFR-processed sheets resulted in a marked increase in α-fiber texture intensity. However, texture evolution was limited at 70% strain due to the stabilizing effect of second-phase particles. Notably, the shear texture intensity was lower than in prior studies, as no sheet rotation was applied between rolling passes. A microhardness gradient across the sheet thickness at 70% strain reflected inhomogeneous stored strain energy. In contrast, yield and tensile strengths increased consistently with strain, driven by robust strain hardening from gradient strain energy. Uniform elongation reached a threshold of 5% in the 70% AFR-processed sheets. The influence of dislocation accumulation on PLC behavior and stress drops was less pronounced than that of DRV. The Θ-ε curves for 50% and 70% AFR samples showed a reduced slope in the second stage, consistent with DRV effects. Ductile fracture dominated even at 70% strain, with increased dimple formation linked to sub-boundary development, indicating sustained ductility in AFR-processed AA5052 sheets.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 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".