Optimization Design of Suspension and Steering System for FSAE Racing Car
Why this work is in the frame
A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.
Bibliographic record
Abstract
The China Formula Student Car Competition has been growing in recent years. In order to improve the steering lightness and body stability of FSAE cars when driving under high-speed and multi-curve conditions. This paper constructs a three-dimensional model of suspension and steering system through CATIA according to the requirements of race rules, applies ADAMS/Car module to simulate the suspension system with two-wheel isotropic excitation, obtains the change curve of suspension performance parameters, and uses ADAMS/Insight module to optimize the unreasonable parameters through the analysis results. Based on the preliminary optimized suspension system, MATLAB is used to optimize the steering trapezoidal mechanism to make the wheel steering on both sides of the race car more closely match the ideal Ackerman geometry relationship. Finally, ANSYS is applied to finite element analysis of the important parts of the suspension and steering system to ensure that their structure and materials can meet the requirements of the whole car design.
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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 | 0.001 | 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 it