Genetic algorithm-based optimization design method of the Formula SAE racing car’s rear wing

Abstract

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 car’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 variables’ combination is determined by the DOE experimental design method. The aerodynamic lift and drag of the racing car for these variables’ 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 wing’s aerodynamic characteristic on the racing car effectively and have application values in the practical engineering.

Multiobjective optimization of a newly developed additively manufactured functionally graded anisotropic porous lattice structure

“…On the other hand, nature-inspired algorithms including genetic algorithm (GA) and non-dominated sorting genetic algorithm (NSGA-II) are utilized in a wide range of researches whenever the closed form of objective functions are available. 32,33 These algorithms can be used to overcome the challenges due to multiple objective functions and mixed design variables. 34 Ehsani and Rezaeepazhand 35 employed GA to optimize stacking sequence and pattern composition for maximizing the axial and shear buckling load of laminated grids with different boundary conditions and aspect ratios in laminated grid structures.…”