Wear analysis of natural-inorganic fiber reinforced automotive brake composites
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Brake friction composite materials comprising varying proportions of natural (banana) and inorganic (lapinus) fibers were designed, fabricated by compression molding, and characterized for sliding wear performance. The sliding wear properties of the manufactured friction composites have been studied by the Taguchi method. An orthogonal array (L 16) was used to investigate the influence of sliding wear parameters. A series of tests were conducted on a pin-on-disc machine by considering four control parameters: composition, normal load, sliding velocity, and sliding distance, each having four levels. The results showed that the wear in terms of weight loss decreases with increasing banana fiber and increases with increasing lapinus fiber, normal load, sliding velocity, and sliding distance. The results indicate that the normal load emerges as the most significant control parameter affecting wear performance, followed by sliding distance and sliding velocity.
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Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.001 |
| Bibliometrics | 0.001 | 0.003 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.001 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.003 | 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 it