Investigating the Physiochemical Effect of Nitric Acid on Silicone Rubber Composites for Outdoor Insulation
Bibliographic record
Abstract
In this paper, the physiochemical effect of nitric acid on silica filled silicone rubber composites is investigated for outdoor insulation applications, by soaking the composites under study in the nitric acid solution with a pH of 3 for 1 week. Fourier Transform Infrared Spectroscopy, thermogravimetry analysis, differential thermal analysis and Scanning electron microscopy are utilized to investigate the chemical, thermal and morphological changes for the aged composites. The intensity of the$1100-1000 ~\text{cm}^{-1}$absorption band, which corresponds to the siloxane backbone, decreases with acidic aging indicating scission of siloxane chain. The aged composites are reported in the thermogravimetry analysis to become more prone to depolymerization as compared to the unaged composites, possibly due to the acid promoting more mobile siloxane chain within the composite matrix. Appearance of pores and filler detachment are also reported from scanning electron microscopy, suggesting the acidic aging effect on the adhesion between filler and the silicone rubber matrix.
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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".