Durable Metallic Surfaces Capable of Passive and Active De‐Icing
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
Ice accretion has adverse effects on several industrial sectors worldwide. Sparsely suspended, thin metallic sheets (buckling elastomer‐like anti‐icing metallic surfaces, or BEAMS) recently demonstrated extremely low ice adhesion strengths while maintaining durability. Here, BEAMS are designed using elastomeric suspension points shaped as channels, enabling active de‐icing by flowing air underneath the suspended sheet. The channel geometry is optimized using computational fluid dynamics by iterating through various channel dimensions and flow conditions. An experimental setup is constructed and utilized to assess BEAMS comprised of 1–4 channels. Active de‐icing is achieved by pressurizing the air within the channels to bulge the sheet outward and delaminate accreted ice from the interface. Active de‐icing is achieved by flowing room temperature air through the channels to heat the surface and melt the interface. Passive de‐icing is also observed under atmospheric icing conditions. Rime is accreted within an icing wind tunnel on multichannel BEAMS. Ice adhesion strengths <8 kPa are maintained after ten consecutive icing/de‐icing runs, demonstrating substantial durability. The active and passive de‐icing capability of channeled BEAMS makes it a promising candidate for improving the operational efficiency of infrastructure in cold environments.
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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 | 0.000 | 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) | 0.000 | 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