Low molecular weight silicone fluid content and diffusion in RTV silicone rubber coating
Bibliographic record
Abstract
Room temperature vulcanizing (RTV) silicone rubber has been widely used to coat porcelain insulators to render water repellency to prevent formation of water filming on the surface and thus to suppress the leakage current and consequent flashover. The hydrophobicity is maintained even after a layer of contamination has built-up on the surface. This has been attributed to the diffusion of the low molecular weight (LMW) silicone fluid from the bulk to the surface of the RTV and then on to the surface of the pollution deposits. It has been reported that there was a reduction in the quantity of LMW polymer chains on the surface of an aged RTV specimen when compared to a virgin specimen. This paper explores some of the factors governing the lifetime of the RTV coating. Alumina trihydrate (ATH) filler and various formulations were used. The content of LMW silicone fluid and the diffusion of LMW from the bulk to the surface were determined in RTV coatings having thicknesses from 0.17 to 0.99 mm, ATH particles from 1.0 to 75 /spl mu/m and different carrier solvents, by using extraction techniques in analytical hexane. The roles of the LMW content and the diffusion process in the lifetime of the coating were evaluated for different formulations of RTV.
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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 | 0.001 |
| 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) | 0.000 | 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".