Tensile Properties of the Subsurface and Center Regions of AA6111 Direct-Chill-Cast Ingot in Semisolid State and Their Hot Tearing Susceptibility
Bibliographic record
Abstract
AA6111 alloys are widely used in the automotive industry owing to their high strength/weight ratio, good corrosion resistance, and reasonable formability. During their manufacture through ingot metallurgy via direct chill (DC) casting, the alloys often suffer from hot tearing, limiting DC casting productivity. The present study focused on evaluating the mechanical properties in the semisolid state and the hot tearing susceptibility of AA6111 DC-cast ingot in the subsurface and center regions. The mechanical behavior of two different regions at high temperatures above solidus was studied using smoothed and notched samples. Tensile tests were performed using the Gleeble 3800 thermomechanical testing unit, and the digital image correlation method was applied to measure the strain evolution. The change in the grain structure in the subsurface and the presence of a high-volume fraction of needle-like β-Fe intermetallics significantly reduced the ductility of the cast ingot in the subsurface region. The hot tearing susceptibility in the subsurface region of the cast ingot was higher than that in the center region. The notch effect is more significant in the subsurface on the stress sensitivity in the presence of stress raisers compared with that in the center region.
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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".