Solidification of Discontinuous Al<sub>2</sub>O<sub>3</sub> Fiber Reinforced Magnesium (AM60) Matrix Composite
Bibliographic record
Abstract
Magnesium matrix composites have great potential for aerospace and automotive applications due to its low density and superior specific stiffness. The magnesium composites can often be reinforced by either particles or/and fibers. There were certain studies on solidification behaviors of particle-reinforced magnesium composites in the past. However, development of grain structure during the solidification of fibre-reinforced magnesium is barely investigated. In this work, an Al2O3 fiber reinforced magnesium (AM60) matrix composite (AM60/Al2O3,f) was cast. The solidification behavior of the cast AM60/Al2O3,f composite was investigated by computer-based thermal analysis. Optical and scanning electron microscopy (SEM) and differential scanning calorimetry (DSC) were employed to examine the occurrence of nucleation and grain refinement involved in solidification of the composite. The results show that the addition of Al2O3 fibers leads to the formation of fine grain structure in the matrix of the AM60/Al2O3,f composite. The refinement of grain structure should be primarily attributed to the restriction of grain growth by the limited cellular space formed in the skeleton of the fiber preform structure instead of the nucleation of primary -Mg phase directly on Al2O3 fibers.
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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".