Ultra-Mild Wear of Al<sub>2</sub>O<sub>3</sub> Fibre and Particle Reinforced Magnesium Matrix Composites
Bibliographic record
Abstract
Sliding wear behaviour of Mg alloy AM60 reinforced with Al 2 O 3 fibers and particles, i.e, AM60-9% (Al 2 O 3 ) f and AM60-(9% (Al 2 O 3 ) f + 4% (Al 2 O 3 ) p ) have been studied by performing boundary lubricated pin on disk tests against AISI 52100 steel counterface under low loads (1.0-5.0 N). The results showed that the material loss from Mg composites tested under 1.0 N and 2.0 N loads was negligible. Under 5.0 N load and after 1.0×10 5 sliding cycles, AM60-9% (Al 2 O 3 ) f showed increased volumetric loss whereas under the same conditions AM60-(9% (Al 2 O 3 ) f + 4% (Al 2 O 3 ) p ) continued to protect the Mg-matrix from damage by the counterface as Al 2 O 3 fibre+particle height remained exposed over the Mg matrix by 1.8 μm and acted as load bearing elements. Transfer of Fe particles to the worn surface of Mg composites resulting from extensive counterface damage due to abrasion by hard Al 2 O 3 fibres and particles was also detected.
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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".