Comparison of four commonly used high temperature vulcanized silicone rubber formulas for outdoor insulator and their regional adaptability
Bibliographic record
Abstract
ABSTRACT High temperature vulcanized silicone rubber (HTVSR) insulators are widely used in transmission lines. In this article, four formulas [fumed silica and precipitated silica as reinforcing agent, alumina trihydrate (ATH) and alumina as flame retardant, and Fe2O3and Fe3O4as colorant] widely used in the production of HTVSR insulators were investigated by performing a series of laboratory experiments. The surface morphologies of silicone rubber, mechanical characterization (hardness, tensile property, and tear strength), electrical properties (volume resistivity, dielectric property, and breakdown strength), hydrophobicity and its transfer property, and thermal property of these four formulas were analyzed. According to the test results, the formula composed of fumed silica, Fe2O3colorant, and alumina trihydrate (ATH) were excellent in mechanical properties because of more secondary structures, more bound rubber, and uniform dispersion. Therefore, it can be used in strong wind and bird pecking regions. Due to the absence of crystal water, the formula composed of fumed silica, Fe2O3colorant, and alumina was observed to be excellent in thermal stability and electrical properties, making it suitable for the regions with high temperature and humidity. The formula composed of precipitated silica, Fe3O4colorant, and ATH was found to be excellent in hydrophobicity transfer characteristics because of more raw rubber and satisfactory performance could be expected when it was applied in polluted regions. © 2019 Wiley Periodicals, Inc. J. Appl. Polym. Sci.2019,136, 47477.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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 | 0.001 | 0.001 |
| 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".