Eventos Anais de eventos
COBEM 2023
27th International Congress of Mechanical Engineering
Analysis of aerodynamic drag in a Squareback geometry by numerical simulation
Submission Author:
Elisa Paola Mora Robles , SC , Brazil
Co-Authors:
Elisa Paola Mora Robles, Leonel R Cancino, Carlos Javier Noriega Sanchez, Jorge Chavez
Presenter: Elisa Paola Mora Robles
doi://10.26678/ABCM.COBEM2023.COB2023-0493
Abstract
In vehicle design today, priority is given to fuel consumption reduction with target in the polluting emissions, especially the CO2 release into the environment. For this purpose, several strategies have been pointed out, since experimental analysis by using wind tunnels to, more recently, numerical analysis using computational fluid dynamics tools. Using simplified geometries, the main features of the flow pattern around a real vehicle can be observed, including the forces acting on surface body (side, drag and lift) as well as their respective moments. In this sense, this work presents a numerical analysis of the MIRA Squareback geometry, four turbulence models are then used and assessed throughout comparison to experimental data available at the literature. The ANSYS-FLUENT software tool was used, the numerical set-up was feed from the available data at the literature. Mesh and computational domain independency test were then performed to ensure consistent numerical data. The fluid flow pattern was then numerically analyzed, forces and momentum resulting were then numerically estimated and compared to the available data at the literature. Where it was obtained as a result that the turbulence model κ - ε Realizable was the most accurate for determining the drag and lift coefficient, compared to the other models, with an error percentage of 1.56% for the drag coefficient CD and 0.08% for the lift coefficient CL. A spoiler was then added to the rear of the geometry, resulting in a reduction in drag coefficient of 4.97% and an increase in lift coefficient of 30.77%.
Keywords
Vehicular aerodynamics, MIRA square-back geometry, Computational flow dynamics, Turbulence Models
