Experimental investigation of mechanical and tribological properties of Al6061–ZrC–B<sub>4</sub>C hybrid composites
Bibliographic record
Abstract
Aluminium metal matrix composites (ALMMCs) have been widely used because of their superior properties such as high strength to wear ratio, high wear resistance, and higher heat conduction rate. The addition of reinforcements in the form of discontinuous particles leads to an increase in the properties of metal matrix composites (MMCs). In the present study, ALMMCs were fabricated with the addition of discontinuous reinforcement particles of zirconium carbide (ZrC) and boron carbide (B4C). The mechanical properties such as tensile strength, hardness, and impact strength were tested as per ASTM standards. The tribological properties were tested using a pin-on-disc setup under different loading conditions (10, 20, 30, 40 N). Moreover, the morphological characterisation of the ALMMCs was carried out by scanning electron microscope (SEM) analysis. Furthermore, differential thermal analysis (DTA) and thermogravimetric analysis (TGA) were performed to find the thermal stability of the ALMMCs. The findings show that variations of reinforcement of ZrC added gave improved properties such as hardness, tensile strength, impact strength, and wear resistance.
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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 | 0.001 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.001 | 0.000 |
| Insufficient payload (model declined to judge) | 0.002 | 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".