Wetting and Self-Cleaning Properties of Silicone Rubber Surfaces Treated by Atmospheric Plasma Jet
Bibliographic record
Abstract
The accumulation of ice and/or pollution on outdoor power transmission lines can cause serious problems. To reduce the potential for severe ice/pollution accumulation, nature-inspired superhydrophobic surfaces having non-wetting and self-cleaning properties have drawn much focus. In this study, an atmospheric-pressure air plasma jet produced superhydrophobic surfaces by creating surface roughness on low surface energy silicone rubber. The effect of plasma parameters on the water repellency of silicone rubber was assessed using the design of experiment (DoE) method focused on three parameters: plasma power, the number of passes and the gas flow rate. FTIR and profilometry analysis characterized the chemical composition and roughness of the treated silicone rubber surfaces. Eventually, the micro-structured silicone rubber surface created by plasma treatment led to superhydrophobic properties.
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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 | 0.000 | 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 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".