Surface resistance and hydrophobicity of HTV silicone rubber in the presence of salt-fog
Bibliographic record
Abstract
Silicone rubber used to fabricate insulators can provide long-term and satisfactory service even under polluted and wet conditions. This is due to its long-term hydrophobic surface properties. The hydrophobic surface inhibits the formation of a continuous water film and the flow of leakage current along the surface. This mitigates against the initiation of dry band arcings that lead to flashover. In the present study, high temperature vulcanized (HTV) silicone rubber rods were subjected to accelerated wetting in salt-fog and immersion in a saline solution. A dc voltage is applied to the specimens to measure the surface resistance. Some of the influencing parameters on the surface resistance are studied. These include: 1. The duration of the exposure to the salt-fog without electric stress, 2. The duration of the exposure to combined salt-fog and ac electric stress, and 3. The specimen length. The contact angle and the surface roughness are measured and correlated with the corresponding surface 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 | 0.000 |
| 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".