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Investigation of New F1 Rear Wing Design and Its Impact on Overtaking Dynamics

This study focuses on the evaluation of a new rear wing proposal in Formula One racing, aimed at enhancing overtaking opportunities. Utilizing Computational Fluid Dynamics (CFD), two models are compared to assess the performance of the proposed Centreline Downwash Generating (CDG) wing against a baseline model. Key aspects include optimizing mesh size, analyzing multi-vehicle interaction, and minimizing downforce loss for trailing cars. Preliminary findings suggest that the CDG wing design may produce cleaner airflow, benefiting race dynamics and enhancing competitive racing.

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Investigation of New F1 Rear Wing Design and Its Impact on Overtaking Dynamics

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  1. Investigation into effect of wings and other aerodynamic devices in racing carsInvestigation of a New F1 Rear Wing Proposal and Its Effect on the WakeJ Holmes – 0408251

  2. The Proposal • FIA (Federation Internationale De L’Automobile) survey response • Most import element of racing to be improved is overtaking • FIA split wing design proposed • The CDG (Centreline Downwash Generating) wing • Design is aimed to increase overtaking in Formula One J Holmes – 0408251 University of Warwick

  3. Main Project Aims • Produce two models for comparison • Evaluate and contrast the wing proposal through CFD • Optimise the accuracy of simulations • Optimum mesh study • Varied turbulent models (physics conditions) J Holmes – 0408251 University of Warwick

  4. Multi-Vehicle Interaction High down force open-wheel racing • Loss of down force is a major concern • Especially for the ‘trailing’ car • Leading car diverts flow upwards • Change in flow direction reduces flow angle to front wing of trailing car • 50% loss of CLF at < 1 car length away J Holmes – 0408251 University of Warwick

  5. The Models • Upstream obstruction to simulate flow conditions • Based on 1998 McLaren Mercedes MP4-13 • Baseline model for comparison All dimensions in mm • CDG design should produce less ‘dirty’ air J Holmes – 0408251 University of Warwick

  6. Meshing • The mathematical description of the geometry • Includes vertices, faces and cells • Tetrahedral mesh offers a great degree of flexibility • Yet a lengthy process with complex geometry • Meshing problems encountered… J Holmes – 0408251 University of Warwick

  7. Intersecting Geometry • Geometric constraint solved through combine feature J Holmes – 0408251 University of Warwick

  8. Point Geometry • Cell generation difficulties over certain point geometry J Holmes – 0408251 University of Warwick

  9. Diagnostic Tool • Identifying erroneous geometry J Holmes – 0408251 University of Warwick

  10. Surface Wrapper Mesh • To ‘smooth’ sharp geometry J Holmes – 0408251 University of Warwick

  11. K-Epsilon Results J Holmes – 0408251 University of Warwick

  12. Down Force Taken from K-Epsilon Model Simulation - Down force on entire model at 160 km/h Original Model = 1270.76 N With Proposed Wing = 1383.82 N - Approximate area of rear wings Original Wing = 0.48 m2 Proposed Wing = 0.54 m2 J Holmes – 0408251 University of Warwick

  13. Stage Two • More computational power • Engineering Unix Computer • Mesh study: optimum mesh size • Different turbulent models used • Spalart-Allmaras Detached Eddy Turbulence • Reynolds Stress Turbulence • K-Omega Turbulence • Increased domain J Holmes – 0408251 University of Warwick

  14. CDG Wing Simulation Video J Holmes – 0408251 University of Warwick

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