Down Force Control of the Low Velocity Racing Car Using Active Aerodynamic Inverse Wings
Bibliographic record
Abstract
A common denominator in all types of racing cars is the need for more traction and road holding, which is limited in traction to the capability of the dynamics of the vehicle, and its tires. Accurate modeling and formulation of the vehicle behavior helps to determine its cornering limits, road stability and handling. A design solution, based on the properties of an aerodynamic system, is developed to study the dynamic performance of a small size racing car. It is shown that the aerodynamic system increases the capability by algorithmic supply of the desired down-forces. The real-time adjustment of the airfoil combinations requires detailed analysis and formulation of the dynamic properties of the vehicle. Also the aerodynamic properties of the configuration of airfoils’ system should be considered. In this paper, implementation of an active aerodynamics inverted wings is investigated for a low-speed, high-down-force application in a typical Formula racing vehicle and detailed analysis and formulation are presented.
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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".