Fluidity and Microstructure Evolution of Al-12%B<SUB>4</SUB>C Composites Containing Magnesium
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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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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| 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) | 0.000 | 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 it