Reinforced PDMS Elastomer Nanocomposites: Effectiveness of In Situ Nano-Silica Content on Flashover Voltage and Treeing Phenomena
Bibliographic record
Abstract
Large interfacial surface area between the inorganic particles and the polymer matrix has made nanocomposites an interesting composition for a wide range of applications including high-voltage insulating materials. However, nanofiller dispersion is challenging and there is always a specific percolation threshold that narrows the particle content in a polymer dispersion. This research attempt to benefit the in situ silica precipitation technique to avoid all problems associated with nanoparticle dispersion and furthermore introduce a technique to increase the nano-silica content. In this regard, elastomeric silicone nanocomposites loaded with various amount of nano-silica, low to high, is fabricated. It is revealed that the nanocomposite loaded with a high quantity of nano-silica particles exhibited high thermal stability and heat resistivity. Utilized as a coating, this nanocomposite could successfully increase the flashover voltage and present less damage after electrical discharges. Moreover, the electrical treeing investigation illustrates a different distribution of tree structure depending on nano-silica content which could be beneficial in diverse electrical insulating applications.
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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 | 0.001 | 0.002 |
| 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 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".