Evaluation of Surface Properties of Zinc Borate Filled HTV Silicone Rubber
Bibliographic record
Abstract
This study presents an investigation of the surface properties of high-temperature vulcanizing (HTV) silicone rubber samples filled with different percentages (5%, 10%, 15%, 20%, and 30%) of Zinc Borate (ZB) filler. Base HTV samples were the reference for the comparison. Physical analyses, including density and hardness measurements, were conducted on each sample. Moreover, dynamic drop tests (DDTs), contact angle measurements, surface roughness analysis, and scanning electron microscopy (SEM) imaging were performed to investigate the hydrophobicity characteristics of the samples. The results of these analyses indicated that an increase in the ZB filler ratio to 10 wt% resulted in a notable reduction in surface roughness, which also led to a notable increase in the surface contact angle. The DDTs revealed that an increase in the ZB filler content by 30 wt% led to an improvement in hydrophobicity performance.
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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".