Study on the Nucleating Process and Liquidus Semi-solid Casting Microstructures of Al 356
Bibliographic record
Abstract
The nucleating process and the variation of the chilling microstructures were studied when 356 alloy was held at the temperature near its liquidus in this paper. From the temperature (625℃) above liquidus, the melt had little nucleation. The primary grains were big and the number of grains per area was little. From the temperature (612℃) slightly under its liquidus, the nucleation number was most in the melt, the primary grains were fine and global, the number of grains per area was more, and the optimum holding time was near 30min at 612℃. From the temperature (600℃) below its liquidus, the nucleation number was more, but some nucleuses congregated and grew dendritically. The Liquidus Semi solid Casting was used to validate the nucleating mechanism. When the alloy melt was semi continuously cast after being held for 30min at the liquidus temperature (612℃), the as cast microstructures, average diameter of which was smaller than 40μm, were fine, uniform, near global and very suitable for thixoforming.
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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".