Performance Investigation of Small Wind Turbine Installed over a Pick up Vehicle to Charge an Electric Vehicle Battery
Bibliographic record
Abstract
Wind energy is a vital energy free from pollution and freely available energy in our world. The purpose of this research is performance investigation of small horizontal axis wind turbine installed at the top of a pickup vehicle and the power generated from this wind turbine is used to charge the batteries of the vehicle. Permanent magnet generator is selected for the experiment as well as the selected type of the blade is NACA 4412 and its angle of attack is 6°. The angle of attack is determined by using Qblade software at the maximum lift to drag ratio of NACA 4412 airfoil. The blades of wind turbine are fabricated from wood because wood have excellent fatigue properties. The comparison between analytical analysis and experimental test is done based on the reaction wind speed, in order to achieve good matching between analytical analysis and experimental test. Finally, the power output from the wind turbine is used for charging the vehicle battery and the charging process is controlled by regulator. The maximum powers determined from the experimental and theoretical analysis are 334 W and 437 W at reaction wind speed of 28.6m⁄s respectively at the maximum vehicle speed of 25m⁄s.
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How this classification was reachedexpand
Full frame machine prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.
Distilled classifier scores by category (both heads)
| 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) | 0.003 | 0.001 |
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 source (direct Gemma or distilled Codex), 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".