Effects of Corona Discharges on Silicone Rubber Samples under Severe Weather Conditions
Bibliographic record
Abstract
The objective of this study is to investigate the impact of corona on silicone rubber samples under various environmental conditions including UV radiation and humidity. Experiments are conducted by applying a 10 kV AC voltage on sharp needle electrode in order to generate corona discharges on the surface of silicone rubber samples for 24 hours. Three silicone samples are exposed to corona discharges along with both ultraviolet (UV) radiations of 1 mW/cm2 and humidity, and another three samples are only exposed to corona discharges and humidity. The experiments are conducted under two humidity settings, i.e. high-humidity (80 to 90%) and low-humidity (≺40%). After the treatment, the hydrophobicity loss and recovery of silicone rubber samples is quantified using the static contact angle measurements. It has been found that the contact angle dropped significantly after the aging test. Moreover, the results revealed that both UV radiation and humidity have significant impact on the loss and recovery of hydrophobicity. Also, scanning electron microscopy (SEM) and energy-dispersive X-ray spectroscopy (EDX) revealed that samples tested under both UV radiation and high humidity condition suffered relatively from higher aging than samples tested under low humidity with no UV.
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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".