%0 Journal Article
%T Genetic algorithm
%A Hui Wang
%A Lin Hua
%A Qiuyang Bai
%A Xufei Hao
%A Zhenghua Meng
%J Proceedings of the Institution of Mechanical Engineers, Part C: Journal of Mechanical Engineering Science
%@ 2041-2983
%D 2018
%R 10.1177/0954406217700181
%X The aerodynamic devices play an important role on the performance of the Formula SAE racing car. The rear wing is the most significant and popular element, which offers primary down force and optimizes the wake. In traditional rear wing optimization, the optimization variables are first selected, and separately enumerated according to the analyzing experience of the racing carĄ¯s external flow field, and thus the optimal design is chosen by comparison. This method is complicated, and even might lose some key sample points. In this paper, the attack angle of the rear wing and the relative position parameters are set as design variables; then the design variablesĄ¯ combination is determined by the DOE experimental design method. The aerodynamic lift and drag of the racing car for these variablesĄ¯ combinations are obtained by the computational fluid dynamics method. With these sample points, the approximation model is produced by the response surface method. For the sake of gaining the best lift to drag (FL/FD) ratio, i.e. maximum down force and the minimum drag force, the optimal solution is found by the genetic algorithm. The result shows that the established optimization procedure can optimize the rear wingĄ¯s aerodynamic characteristic on the racing car effectively and have application values in the practical engineering
%K Formula SAE racing car
%K aerodynamics
%K rear wing
%K design of experiment
%K response surface method
%K genetic algorithm
%U https://journals.sagepub.com/doi/full/10.1177/0954406217700181