Numerical investigation on the aerodynamic characteristics of the multi-blade propellers under different inflow conditions
Bibliographic record
Abstract
EVTOL (Electric Vertical Take-off and Landing) vehicles have the advantages of no runway for take-off, high safety, low noise, zero-emission, easy maintenance, and low cost after scale operation. Under the background of the global development of a low-altitude economy, the demand for eVTOL is expected to grow rapidly. Propellers with different blade numbers are modelled, and the aerodynamic characteristics of three, four, five, and six-bladed propellers under uniform airflow environment conditions are analysed. The pressure values on the surface of each propeller blade were determined by simulating the airflow environment. The performance characteristics of the four propellers under different airflow conditions were numerically investigated. A prototype blade model was fabricated in an aerodynamic wind tunnel, and experimental values of aerodynamic pressures were obtained through calculations and simulations. The computational results help to provide insight into the physical characteristics of the airflow around the propeller blade and the resulting performance metrics.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
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".