Fluidity and Microstructure Evolution of Al-12%B<SUB>4</SUB>C Composites Containing Magnesium
Bibliographic record
Abstract
The influence of 0.5% magnesium addition on the fluidity evolution and microstructure of aluminum and Al-12%B4C composites was investigated. It was observed that the magnesium addition reduced the fluidity of aluminum and the Al-B4C composites. Moreover, magnesium promoted the interfacial reactions between liquid aluminum and B4C in the Al-B4C composites. An adequate Ti addition in the composites could effectively limit the impact of magnesium on the interfacial reactions and significantly improve the fluidity by forming a dense TiB2 protective layer on the B4C particle surface. It was also found that a part of magnesium is consumed in the reaction product, which resulted in the reduction of magnesium available in the matrix. The effects of magnesium and titanium on the fluidity, interfacial reactions and magnesium redistribution were discussed.
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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 | 0.001 | 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".