Effects of Detailed Tire Geometry and Wheel Rotation on the Aerodynamic Performance of Deflectors

• Published in: International Journal of Automotive Engineering 2023, Vol.14(4), pp.84-91
• Main Authors: Nakata, Akihiro, Okamoto, Satoshi, Morikawa, Yosuke, Nakashima, Takuji
• Format: Article
• Language: English
• Subjects: aerodynamic performance; computational fluid dynamics; deflector; Heat fluid; wind tunnel test
• ISSN: 2185-0984; 2185-0992
• DOI: 10.20485/jsaeijae.14.4_84

Wheels and tires account for approximately 25% of the overall aerodynamic drag on a vehicle. Though researchers have investigated the accurate representation of rotating tires and wheels in aerodynamic simulations, they primarily focused on the differences in the tire or wheel geometry; few studies have investigated the effects of front-tire deflectors located at the bottom of passenger car bumpers. In other that deflectors can effectively reduce drag without significantly affecting design or packaging, deflector performance should be predicted at the early stages of product development. This study accordingly clarified the simulation conditions for full-vehicle aerodynamics necessary to accurately predict the performance of front-tire deflectors by simulating two different deflector configurations under four conditions comprising different degrees of tire geometry detail and wheel rotation methods. The simulation results were subsequently compared with wind tunnel test results, indicating that the numerical simulation using the least accurate tire geometry detail could not accurately predict the performance differences according to deflector configuration. However, the differences between the drag coefficients and airflow characteristics for each deflector were predicted more accurately by improving the tire geometry detail. The prediction accuracy was further improved by using the sliding mesh method instead of the boundary condition method to model the wheel rotation. Therefore, it was concluded that the detail tire geometry and wheel rotation method are important factors for improving the accuracy of front-tire deflector performance prediction.