Micro-machined Surface Channels Applied to Engine Intake Flow and Heat Transfer
Bibliographic record
Abstract
This article examines the effects of surface microchannels, when altering the boundary layer flow along a helicopter engine bay cooling inlet. The purpose of the study is to investigate the potential benefits of such micro-channels for shedding off runback water from the surface. The local fluid motion and convective heat transfer are considered to be affected by the profiles of the surface micro-channels. Converging, diverging and parallel micro-channels are investigated. It is observed that the converging micro-channels affect the vorticity distribution on the downstream side of the intake surface. Results are presented for experiments involving PIV (Particle Image Velocimetry) in a water tunnel. Aircraft icing is largely affected by convective heat transfer and the runback flow of unfrozen water along the ice surface (Messinger [1]). During glaze ice, the energy imparted by impinging droplets and phase change is sufficient to sustain a flowing supercooled surface film (Naterer et al. [2, 3]). The modes of heat exchange include convection, conduction through the ice and surface film, phase change and droplet kinetic energy imparted on impact (Myers, Hammond [4]). Unlike glaze ice, the formation of rime ice arises when impinging droplets are solidified immediately upon impact on the ice surface (Naterer [5]).
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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 | 0.000 | 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 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".