Icephobic Coating Evaluation for Aerospace Application
Bibliographic record
Abstract
This paper presents an extended study on the properties of icephobic coatings for aerospace applications, more specifically rotorcraft. Ideally, an icephobic material should be the least expensive anti-icing solution, inasmuch as the anti-icing effect is not destroyed by inclement environmental conditions. Several studies on the subject have already been published. Nevertheless, in most cases, only the results of ice adhesion on freshly coated samples are presented and discussed. In this study, the effects of aging (weathering and erosion) and of the number of ice/deicing cycles on coating durability were also considered relative to their possible use on airplanes and helicopters. In the first step, ice adhesion was measured in Centrifuge Adhesion Tests (CAT) on eight promising coatings. The ice adhesion τadh of the candidate coatings was found to vary from 0.001 MPa to 0.16 MPa. In the second step, in order to analyze ice accretion and ice shedding, four favorable coatings were evaluated in a wind tunnel on scaled-down rotor (SRB) set-ups, which were iced and rotated until shedding occurred. Regarding the environmental aspect, the durability of the utmost ice adhesion reducer coatings was evaluated under rain and sand erosion, as well as multiple icing/deicing exposures.
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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 | 0.001 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 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".