Improving the Erosion Resistance of Electrical Insulating Materials Using Nano Fillers
Bibliographic record
Abstract
The paper presents the experimental results obtained to test the effect of nano‐fillers on the aging performance of silicone rubber for outdoor applications and enamelled wire for motor insulation. The erosion resistance of silicone rubber (SIR) filled with 12 nm size fumed silica is compared to those filled with 5 μm size silica filler using the ASTM 2303 Inclined Plane Tracking and Erosion Test. The erosion resistance of the SIR materials increased with increasing percentage of the fillers, and it was observed that 10% by weight of nano‐filled SIR gives a performance that is similar to that obtained with 50% by weight of micro‐filled SIR. The paper discusses the possible reasons for the improvement in the erosion resistance of nano‐filled silicone composites using different material analysis techniques like Thermo Gravimetric Analysis (TGA), and Scanning Electron Microscopy (SEM). Also, the effect of using different nano fillers like alumina, fumed silica and titanium oxide on the erosion resistance of enamel wire insulating material subjected to different electrical stresses will be addresses. Surface roughness is used to evaluate the effect of different nano‐fillers on the erosion resistance of enamel wire insulation.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 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) | 0.000 | 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".