Abstract
Aerodynamics has identified remarkable development in the improvement of fuel efficiency, reducing wind noise and increasing engine cooling. Moving body profile controls fuel the consumption rate. This paper discusses a novel car profile consisting of two airfoils Roncz (car profile) and National Advisory Committee for Aeronautics NACA 10 (car sides). They are used to create a streamlined body. Three-Dimensional numerical simulations of the full scale model (half domain) are performed to examine the effect of car profile on the drag coefficient and thus fuel consumption. Simulations are considered over a range of air flow velocities, from 20 to 45 km/h in a step of 5 km/h. The ahmed body is used to validate the results. Results are shown graphically for coefficients of drag and lift and pressure and velocity contours. They show that the design of the car profile is effective.
Highlights
Aerodynamics is the most important factor when it comes to resistive forces [1]
The fuel consumption rate can be controlled by profiles of high-speed trains, real cars and racecars
Ice accumulation changes the shapes of local airfoil sections and affects the aerodynamic performance characteristics of the considered National Advisory Committee for Aeronautics (NACA 23012) profile
Summary
Aerodynamics is the most important factor when it comes to resistive forces [1]. Reducing the aerodynamic drag will open the door for higher top speed, but will reduce the overall fuel consumption of the vehicle and increase comfort. At the Shell Eco-marathon competition [12], competitors demonstrated the variation in wake flow field of vehicles with different added surfaces using pressure and velocity contours, velocity vectors at the rear end and the turbulent kinetic energy distribution plots Their simulations results were validated by experiments. Cieslinski et al [14] focused on optimizing their car body profile They presented a numerical aerodynamic study of a number of vehicle shapes with fairing around its wheels inspired by the winning models. They [20] used a compressible flow solver for low Mach-number flows utilized with an IDDES approach for turbulence modeling They [21] demonstrated the applicability of a finite volume method for the direct noise computation of road vehicles.
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