Analysis of anisotropy of extruded magnesium alloy AZ31 bar
Bibliographic record
Abstract
The large strain Elastic Visco-Plastic Self-Consistent (EVPSC) model, with the recently developed Twinning and De-Twinning (TDT) description, is applied to study the mechanical behavior of magnesium alloy AZ31 extrusion. Five different specimen orientations with tilt angles of α of 0°, 22.5°, 45°, 67.5° and 90° between extrusion direction and longitudinal specimen axis are used to study the mechanical anisotropy under both uniaxial tension and compression. It is found that the uniform strain under tension is sensitive to the tilt angle and the maximum uniform strain is found at α = 45°. The effect of pre-strain in uniaxial compression along the extrusion direction on subsequent uniaxial tension and compression along different directions with respect to the extrusion direction is also investigated. It is demonstrated that the influence of the twinning during pre-strain in compression and the detwinning in the subsequent uniaxial tension on the uniaxial tension response depends significantly on the tilt angle. By comparing the differences in the flow stress vs. orientation curves between the as-received and pre-strained samples, the effect of pre-straining on material anisotropy is investigated. It is found that the pre-compression lowers the uniform strain regardless of the tilt angle α.
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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 | 0.000 |
| 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".