Effect of the ice accretion on the aerodynamics of NACA 64(3)-618airfoil
Bibliographic record
Abstract
Abstract: Wind energy is one of the biggest sources of renewable energy in Canada that accounts for 3.5 percent of electricity generation. However, icing on the blades during the cold seasons can cause some serious problems. This can apply extra inertia and makes the rotary system unbalanced which can damage the turbine. Furthermore, it changes the aerodynamic shape of the blades and changes the lift and drag coefficient of the wind turbine blades which reduces the generated power. To study the effects of the ice layer growth on the aerodynamic behavior of the blade, a 2D airfoil of NACA 64(3)-618 which is a common airfoil used in wind turbines is considered. In this study, the turbulent flow over the airfoil with an iced layer on the leading edge is modeled. The k-? SST model is used to simulate the turbulent flow and OpenFOAM CFD package is utilized to integrate the governing equations. The flow behavior around the airfoil with and without the icing layers is studied for the Re equal to 137,000 when the angle of attack is changed from 0 to 15 degree. It is expected that according to the changes in the airfoil shape in the presence of the icing layer which is a destructive phenomenon, the lift coefficient decreases and the drag coefficient increase. Also, it is expected that icing can affect the separation point and advances it.
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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".