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Proposing Institution

Lehrstuhl für Aerodynamik, TU München
Project Manager

Dr.-Ing. habil Thomas Indinger
Boltzmannstr. 15
85748 Garching
Abstract
To improve vehicle aerodynamic performance is one of the most effective ways to reduce the fuel consumption. A level has been reached in the optimization of the basic vehicle body, and the wheel and wheel-houses accounts for around 25% of vehicle aerodynamic drag, it is important to understand this to a greater degree, to accurately model the flow around rotating wheel, to understand the influence of different wheel parameters and its interactions and to optimize the wheel aerodynamics.In this project common methods from aeronautics are transferred to the automotive domain. The aerodynamic properties of a fully parametrical automotive wheels are optimized by means of evolutionary algorithms and artificial neural networks for surrogate modeling. The objective functions to be optimized are the aerodynamic properties drag, and ventilation moment resistant. Their evaluation is carried out by means of computational fluid dynamics.To maximize the performance, state-of-art design methodologies would be employed such as design-of-experiments (DOE) and surrogate modeling techniques that incorporate a series of procedures from creating geometries to conducting CFD simulations. Design of experiments (DOE) is a strategy or stencil to extract maximum information with a minimum number of trials in analyzing engineering systems.

Impressum, Conny Wendler