On the Design of an Aero-Engine Nose Cone Anti-Icing System Using a Rotating Heat Pipe
Bibliographic record
Abstract
The feasibility of using a rotating heat pipe to anti-ice the nose cones of small turbofan aero-engines is investigated. A stationary jacket evaporator design was used to transport heat into the rotating heat pipe located along the central fan shaft of the engine. The rotating heat pipe condenser was made an integral part of the nose cone using a high conductivity, lightweight material and the tip of the nose cone. The use of heating channels along the nose cone and passive heat transfer enhancement in the evaporator were also investigated. The computational model used to predict the heat transfer performance is outlined. The overall heat transfer to the nose cone was 0.8–1.2 kW using water in the heat pipe and 0.4–0.75kW using ethanol. The heating channels were not effective due to the small contact area with the nose cone. The heat transfer enhancement in the evaporator increased the total heat transfer modestly and the temperature of the nose cone increased over the contact area made with the high conductivity material. The results show that rotating heat pipes are a feasible nose cone anti-icing technology.
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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 | 0.000 |
| 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 | 0.001 | 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".