Improvements to the erosion resistance of nanofilled silicone rubber composites by electrospinning
Bibliographic record
Abstract
In this study, two-part room temperature vulcanizing silicone rubber (SiR) nanocomposite samples containing 7 nm sized fumed silica and 1.5 μm sized silica, were prepared by conventional mechanical mixing and by electrospinning, and their erosion resistance compared by the ASTM D2303 inclined plane (IPT) test. An improved dispersion of nanofiller in SiR was achieved by electrospinning thereby permitting the preparation of highly filled nano and micro sized composites. The results of eroded mass in the laser ablation tests, and tracking voltage and tracking time in the inclined plane test clearly shows improvements of the electrospun samples over conventional mixed samples. Further, observations of the uniform tracking patterns and hardness measurement after the IPT were indicators of improved filler dispersion in the electrospun samples.
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How this classification was reachedexpand
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 | 0.001 | 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 teacher head, 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".