The cycling industry has long relied on expensive wind tunnel testing when designing aerodynamic products, particularly in the context of wheels which account for 10 to 15 percent of a cyclist's total aerodynamic drag. With the recent advent of Computational Fluid Dynamics (CFD), the industry now has an economical tool to supplement the wheel design process; however, the complex nature of rotating spoked wheels requires high resolution meshes to model at acceptable fidelity. This research investigates an alternative CFD method that lowers the computational cost of modeling aerodynamic bicycle wheels by modeling spokes using Blade Element Method (BEM). Two CFD models of a HED Trispoke wheel, one with resolved spokes and one with modeled spokes, are compared to existing CFD and wind tunnel drag coefficient data at various headwind speeds and yaw angles. Data shows good agreement.
Bachelor of Science in Mechanical Engineering (B.S.M.E.)
College of Sciences
Mechanical and Aerospace Engineering
Vigne, Drew, "Bicycle Wheel Aerodynamics Predictions Using CFD: Efficiency Using Blade Element Method" (2021). Honors Undergraduate Theses. 904.
Restricted to the UCF community until 5-1-2021; it will then be open access.