Development of a New Ice Crystal Icing Shear Adhesion Rotary Test Rig and Method
Bibliographic record
Abstract
<div class="section abstract"><div class="htmlview paragraph">This paper discusses the development and implementation of a new ice crystal icing (ICI) ice adhesion test system and technique. It is based on the state of the art rotary shear adhesion test rig developed at the NRC altitude icing wind tunnel (AIWT) used for supercooled liquid water (SLW) ice accretion adhesion testing. This rig was modified to use strain gauged arms for shed force measurements and implemented into the NRC ICI cascade rig at its research altitude test facility (RATFac). This permitted the exposure to a wide range of ICI conditions both in supercooled and wetbulb below freezing ICI conditions. The result is a standalone system that can be run remotely thus improving the testing efficiency by avoiding the need for accretion calibration points previously required to correlate accreted mass to icing exposure time. This technique was shown to be very repeatable with adhesion results for repeat points generally being within ±4 kPa and being highly sensitive in being able to measure shear adhesion strengths in the range of 8 to 200 kPa, with adhesion strengths down to 2 kPa measured but with increased noise levels. ICI accretion adhesion shear strengths are lower than typical SLW adhesion strengths and this new method proved to be effective in covering the full range.</div></div>
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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 | 0.001 | 0.001 |
| Meta-epidemiology (narrow) | 0.001 | 0.001 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.000 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.001 | 0.001 |
| Research integrity | 0.001 | 0.001 |
| 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 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".