Microstructural Observations of Cracking in AA5182 at Semi-Solid Temperatures
Bibliographic record
Abstract
Within the general framework of hot tearing research during aluminium DC casting, specimens of alloy AA5182 were loaded in tension and deformed at temperatures between 500 and 580°C and strain rates between 10 -5 - 10 -3 s -1 . At these temperatures the alloy is partially molten and the fraction liquid varies between 0.003 and 0.09. The fracture surfaces of the tensile specimens were studied by SEM. The specimen which cracked at 560°C showed grains covered largely with a smooth layer which was molten at the time of fracture. However, the grain boundary surface was not entirely covered with a liquid film, as ductile fractured solid bridges connecting both sides of the crack were also observed. The fracture surface was further characterised by many small side cracks which are often (re)filled with liquid metal. Where this liquid metal feeding was insufficient a capillary meniscus is present. Further, in-situ observation of crack propagation was done on specimens which were loaded in tension in the SEM at 500°C. These observations showed that fracture occurs almost exclusively along grain boundaries and also showed the occurrence of slip lines. The solid bridges were separated in a very ductile manner. These experimentally induced cracks were compared with hot tears developed in an AA5182 ingot during a casting trial in an industrial research facility.
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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) | 0.002 | 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".