Abstract - Ok so this one is basically my writing template for all the projects
Objective of this project was to characterize the influence of aerodynamics in cornering situations by creating a fully parameterized model. Data was validated against track-data and straight line CFD cases. This serves as a robust aerodynamic design tool.
Key Steps of this Project
- Vehicle-dynamics algorithm predicting steady-state cornering (β, δ, roll).
- STAR-CCM+ template driven by turn radius and lateral acceleration.
- Initial validation vs straight-line simulations for high-R/low-ay case.
- On-track validation using slip-angle sensors.
- Final correlation with suspension load-cell arms.
Methodology
- Modeling: turbulence model, mesh strategy, BCs, cornering setup.
- Tools: STAR-CCM+, Python, MATLAB, Cantera, etc.
- Validation: reference tests, correlation plan.
Results
Quantitative findings. Put numbers first: forces, moments, sensitivities, and error bars.
| Metric | Baseline | Variant A | Variant B |
|---|---|---|---|
| CL (front) | 0.92 | 1.01 | 0.99 |
| CD total | 0.78 | 0.80 | 0.77 |
| Balance (F%) | 47% | 50% | 49% |
