Improving the Mechanical Durability of Superhydrophobic Coating by Deposition onto a Mesh Structure
Why this work is in the frame
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Bibliographic record
Abstract
Superhydrophobic surfaces (SHSs) require a combination of a nano- or microscale rugosity and a low surface energy. However, SH is easily lost under relatively mild mechanical abrasion. Here, by introducing a mesh layer beneath the SH layer, we develop a method that significantly increases the mechanical durability of a SHS. Using the commercially available Ultra-ever Dry SH coating, we found that hardness, abrasion distance, flexibility and water-jet impact resistance all increase. These increases are attributed to the increased mechanical support offered by the presence of the mesh, which provides dynamic mechanical losses at the temperatures and equivalent frequencies of the applied stresses. The SH of the coating surface on both sliding abrasion and water jet impact, as determined by slide angle (SA), exhibits two steps; the first is associated with the wearing away of the surface nanoparticles, and the second, with the wear of the underlying microstructures. A comparison of the SAs, as a function of abrasion distance, demonstrates that the presence of the mesh can significantly protect the nanoparticles, improving and prolonging SH, thereby extending the number of applications of such coatings. The improved mechanical durability may be attributed to the mesh structure protecting the rugosity, and its ability to absorb the energy from both sliding abrasion and water-jet impact.
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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 | 0.004 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.001 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.004 | 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 it