Numerical Simulation Study of NACA2415 Airfoil Using PANS Model Based on User-Defined Functions
Bibliographic record
Abstract
This paper constructs a Partially-Averaged Navier-Stokes (PANS) turbulence model using User-Defined Function (UDF) programming based on FLUENT software and applies it to the numerical simulation study of the NACA2415 airfoil. Through the secondary development of FLUENT, the construction and validation of the PANS model were successfully achieved. The flow field characteristics of the NACA2415 airfoil at different angles of attack were calculated, and the lift coefficient was monitored and compared with wind tunnel experimental results. The study showed that the PANS model effectively captures the velocity streamlines and pressure variations on the surface of the airfoil, demonstrating a high predictive accuracy compared to experimental data. This research provides a technical reference for the simulation of complex flow fields and the optimization of turbulence modeling methods.
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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 | 0.001 | 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 | 0.001 |
| 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".