Numerical Correlations for Heat Transfer from an Array of Hot-Air Jets Impinging on a 3D Concave Surface
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Bibliographic record
Abstract
The paper presents numerical heat-transfer correlations established from numerical CFD study of a 3D hotair jet array impinging on curved (circular) surface. The results are in the form of numerical correlations for the average and maximum Nusselt number for different nozzle-to-nozzle spacing, nozzle-to-surface height and hot-air jet mach numbers typical of those in an hot-air anti-icing system employed on aircraft wings. The paper presents a validation case and show that the results obtained from the CFD study are in good agreement with experimental data found in literature. The paper presents an interpolation technique, the dual Kriging method, that make use of the numerical database for anti-icing simulation on aircraft wings. The benefit of using the dual Kriging method is that it preserves the non-linear nature of the heat-transfer distribution from a hot-air jet impinging on a curved surface.
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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