CFD Study Comparing Racecar Wing Mounts
A growing trend among racecar designers is to use a 'swan neck' wing mount that attaches to the pressure surface of a wing. Historically wing mounts have connected to the suction surface of a wing. What difference does the wing mount strategy make to overall car downforce and drag? Let's investigate using Computational Fluid Dynamics (CFD) on a BMW Z3 - the same model I used in a previous CFD study to show how effective adding a wing is to increase downforce.
Stream ribbons colored by velocity magnitude
Background
What you do on the suction surface of a wing determines the wing efficiency (lift divided by drag), whereas the pressure surface is typically less sensitive. On airplanes with wing-mounted engines virtually all designs have the engines mounted under the wing on the pressure surface to maximize the wing's efficiency.
In the quest for ever more downforce racecar designers have begun using wing mounts that attach to the pressure surface of a wing rather than the suction surface. Aerodynamic efficiency is important for racecars, but there is typically more emphasis on generating downforce to enable higher cornering speeds. Drag is usually a secondary concern.
CFD Models
Given the same BMW Z3 geometry from my previous CFD study I created one model with a standard mount attached to the suction surface of the wing and a second model with a 'swan neck' mount attached to the pressure surface of the wing.
Results
Surface velocity magnitude contours
Surface velocity magnitude contours
Conclusion
This CFD study shows that the 'swan neck' mount produces more overall downforce on the racecar than the standard mount. However, the penalty for more downforce is that the 'swan neck' also produces more overall drag on the racecar than the standard mount. Still the main concern for racecar designers is maximizing downforce, so you can see why a designer might favor the 'swan neck' mount.
Notes
- Original car geometry courtesy of Andrew Shedden, as pro engineering
- Car speed equivalent to 65 mph, with moving ground and rotating wheels
- Simulations set up and performed in Caedium Professional using the incompressible, steady-state RANS solver, and the k-omega SST turbulence model
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