Observations on the Thermal Response and Mold Filling Behavior of an AZ91E Magnesium Alloy Cast by the Lost Foam Casting Process
Bibliographic record
Abstract
Magnesium alloys are increasingly used for automotive and aerospace applications where the overall vehicle weight is a critical design parameter. Recent developments in Lost Foam Casting (LFC) of magnesium alloys demonstrated its suitability as an alternative process for near-net-shape manufacturing of these alloys. Utilizing thermal analysis techniques, research into the solidification mechanism of a magnesium alloy AZ91E cast by LFC process was carried out. Process parameters, such as: foam characteristics, pouring temperature, casting section thickness and application of vacuum were correlated with the casting cooling rate. Further, these parameters were related to the mold fillability and defect formation. The results indicate that the application of vacuum significantly influenced the alloy cooling rate, which caused the castings to solidify inhomogeneously, with partially solidified metal chunks present in the casting interior. Also, casting porosity increased in vacuum castings due to the entrapment of liquid-EPS pyrolysis products.
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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".