Automatic Optimization Method for FSAE Racing Car Aerodynamic Kit Based on the Integration of CAD and CAE Wuhan University of Technology

Format:

Book

Conference/Event

Author/Creator:

Chen, Yanjun, author.

Conference Name:

WCX SAE World Congress Experience (2024-04-16 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2024

Summary:

In the process of designing the aerodynamic kit for Formula SAE racing cars, there is a lot of repetitive work and low efficiency in optimizing parameters such as wing angle of attack and chord length. Moreover, the optimization of these parameters in past designs heavily relied on design experience and it's difficult to achieve the optimal solution through theoretical calculations. By establishing a parametric model in CAD software and integrating it with CFD software, we can automatically modify model parameters, run a large number of simulations, and analyze the simulation results using statistical methods. After multiple iterations, we achieve fully automatic parameter optimization and obtain higher negative lift. At the same time, the simulation process is optimized, and simulations are run based on GPUs, resulting in a significant increase in simulation speed compared to the original. The results show that automated optimization saves a lot of manpower costs, and compared to manual optimization, the negative lift coefficient of the optimized components has increased by around 10%

Notes:

Vendor supplied data

Publisher Number:

2024-01-2079

Access Restriction:

Restricted for use by site license