Parçacık görüntülemeli hız ölçümü yönteminin geliştirilmesi

The aim of this study is to determine the aerodynamic characteristics of electric vehicles with Particle Image Velocimetry (PIV) and Computational Fluid Dynamics (CFD). In this sense, the parameters that vary according to the flow and flow structure to be formed around the vehicle were examined. Within the scope of this study, the electric vehicles were modeled on a certain scale. These models were prepared for experimental study with three-dimensional printer. Particle Image Velocimetry (PIV) experiments were conducted in the wind tunnel, which prepared for providing the flow domain around the vehicles. In addition, the three dimensional numerical models of the vehicles were created by using commercial software ANSYS Fluent. The velocity and velocity-related characteristics obtained from these models, which were created by using CFD method, were compared with the data obtained from the PIV experiments. The coherence of the experimental and numerical results was evaluated. This evaluation provided validation to analyze numerically. The effects of different geometric design parameters on velocity maps and flow separations were investigated and compared. Numerical analysis of different velocities acting on the electric vehicle geometries were carried out and the effect of different parameters on the flow region was compared. Also, the effects of different turbulence models on the accuracy were investigated. According to the obtained results, parameters which minimize the aerodynamic forces on the vehicle were determined.