Effect of Graphite Addition on the Mechanical Properties of Stir Cast Particulate Aluminum Metal Matrix Composite Reinforced with Alumina and Silicon Carbide
Bibliographic record
Abstract
Fabrication of PAMC by stir casting, at semisolid stage of the matrix results in homogeneous distribution of the reinforcements in the matrix, which leads to better mechanical and tribological property of the composite. In present study aluminum alloy Al6082 was reinforced with 1% Al2O3 and 3% SiC and 0 to 6% graphite particles by weight. We have varied temperature, speed of agitation and kept all other parameters constant. With present stir casting process, we have successfully processed the total reinforcement up to15% by weight. PAMC has shown 23% increase in hardness, 110% increase in tensile strength and 54% increase in the stiffness. With increase in the graphite reinforcement, coefficient of friction and wear rate of PAMC decreases. Coefficient of friction stabilizes between 0.3 to 0.33 and wear rate stabilizes near to 0.00005 mm3/Nm.
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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".