AERODYNAMIC EFFECT OF 3D PATTERN ON AIRFOIL
Bibliographic record
Abstract
It is known from recent observations that the textured surface plays a role in reducing the drag force and increasing the lift force of a moving body. Comparing the numerical simulation between smooth surface and textured surface in this study, we also observe that the textured surface reduces the drag coefficient and increases the lift coefficient of the surface. As for the two simulation models performed in this study, we use the modified NACA0018 model for the basic airfoil configurations. After the simulation using Fluent, the results about the two models are mutually compared, and we found that the textured airfoils can decrease the drag coefficient and increase the lift coefficient dramatically. We also found that there exists an optimal angle, at which both the drag coefficient decrement and the lift coefficient become maximum. The final goal of this study is to design the airfoil with the reduced drag coefficient and the improved aerodynamic efficiency
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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".