Flame Retardancy and Thermal Performance of Rare Earth Oxide Doped Silicone Rubber Nanocomposites
Bibliographic record
Abstract
Room temperature vulcanized (RTV) silicone rubber is widely used for outdoor high voltage insulation due to its strong hydrophobicity and anti-pollution performance, but its inherent flammability limits use for fire prone environments. This study investigates novel RTV silicone rubber composites incorporating La₂O₃, a rare earth oxide, to enhance flame retardancy via radical scavenging and char formation. Four formulations are prepared: undoped silicone rubber, silicone rubber doped with 1 wt.% and 5 wt.% nano La₂O₃, and a commercially used 45 wt.% micro ATH filled rubber. UL-94 testing shows that the 1 wt.% La₂O₃ composite achieved a V-0 rating, outperforming all other specimens, including the ATH composite, which attained V-1. Thermo-oxidative treatment and FTIR analysis reveal fewer surface microcracks in the 1 wt.% La₂O₃ sample, with minimal degradation of Si-(CH₃)₂ and Si–O–Si bonds, indicating reduced bond scission and effective radical suppression. TGA confirms enhanced thermal stability, with delayed T5%, higher thermal resistance index, and increased char yield. IPT further verified improvements, as the 1 wt.% La₂O₃ composite exhibited the shortest tracking length, surpassing the ATH based and other test specimens. Breakdown strength, volume resistivity and Shore hardness measurements demonstrate that the 1 wt.% La₂O₃ composite offers the best dielectric performance with suitable hardness, while ATH composite provides moderate improvement over the undoped specimen. Overall, the 1 wt.% La₂O₃ filled RTV composite demonstrates superior flame resistance, dielectric reliability, tracking resistance, and mechanical stability with retained flexibility, making it a promising material for high voltage outdoor insulation under wildfire prone conditions.
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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".