Development of a method for genetic optimization of aerodynamic devices

Abstract

Driving stability, fuel efficiency and soiling reduction are important for modern vehicles. This thesis has developed a novel method for genetic optimization of aerodynamic devices for road vehicle applications with the objective of minimizing drag and lift. The method involves the integration of genetic algorithms, B-spline shape optimization and computational fluid dynamic using OpenFOAM. The method can generate multiple devices in a single run. It allows the user to decide the objective functions and number of devices to be generated. The method was successfully applied to generate unique device geometries based on the Ahmed body by optimizing the top flap device and bottom diffuser, as well as the combination of the two devices. In addition, advanced vortex identification techniques were applied to the novel aerodynamic devices developed. The study provided physical insight into the drag and lift reduction as well as soiling mitigation mechanisms by the new devices.