Development and Characterization of Mechanically Alloyed and Sintered (Al-7wt.%Si)-2wt.%VB Composites
Bibliographic record
Abstract
Vanadium boride (VB)particulate reinforced Al-7 wt.% Si based metal matrix composites (MMC) were synthesized using mechanical alloying (MA) and pressureless sintering.(Al-7 wt.% Si)-2 wt.% VB blends were mechanically alloyed for 4h in a high energy ball mill.Particle size measurement, Brunauer-Emmett-Teller (BET) surface area analysis, scanning electron microscopy (SEM) investigation and thermal analysis were conducted to characterize the mechanically alloyed powders.As-blended and mechanically alloyed powders were compacted in anuniaxial hydraulicpress with a pressure of 450 MPa and green compacts were sintered at 570⁰C under Ar gas flowing conditions.Microstructural and phase characterizations of the sintered samples were carried out using optical microscope (OM), SEM and X-ray diffractometer (XRD).Physical and mechanical properties of the sintered composites were investigated in terms of density measurements, microhardness measurements and wear rate.MA enhances the physical and mechanical properties of the composites.(Al-7 wt.% Si)-2wt.%VB MA'd for 4 h had relative density value of 95.55%, microhardness value of 1.04±0.11GPa and wear rate of 1.42x10 -5 mm 3 /mm.
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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".