Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Drag on Passenger Cars: Computational Fluid Dynamics Analysis of 2D Body Design Using ANSYS Fluent

Version 1 : Received: 21 December 2023 / Approved: 21 December 2023 / Online: 21 December 2023 (14:17:48 CET)

How to cite: Martoma, A.; Kabala, Z. Drag on Passenger Cars: Computational Fluid Dynamics Analysis of 2D Body Design Using ANSYS Fluent. Preprints 2023, 2023121654. https://doi.org/10.20944/preprints202312.1654.v1 Martoma, A.; Kabala, Z. Drag on Passenger Cars: Computational Fluid Dynamics Analysis of 2D Body Design Using ANSYS Fluent. Preprints 2023, 2023121654. https://doi.org/10.20944/preprints202312.1654.v1

Abstract

The automotive industry has witnessed a significant push towards increased fuel efficiency and reduced carbon emissions. Among many factors influencing overall vehicle efficiency, aerodynamic drag is a critical consideration, accounting for a substantial portion of fuel consumption. Our investigation focused on the drag coefficients of three prominent 2023 passenger car models – the Toyota Corolla, Hyundai Elantra, and Kia Soul. Using ANSYS Fluent to perform computational fluid dynamics, we demonstrated an inverse correlation between drag force and gas mileage, underlining the significance of aerodynamic design in fuel efficiency. Notably, the Hyundai Elantra emerged as the most aerodynamically efficient of the three vehicles, followed closely by the Toyota Corolla. In contrast, the boxier-designed Kia Soul exhibited significantly higher drag coefficients and drag forces, rendering it the least efficient of the trio. These findings emphasize the importance of environmental factors in car design. Shaping aerodynamic profiles directly impacts fuel efficiency, stability, and overall performance.

Keywords

drag coefficient; drag force; computational fluid dynamics (CFD); optimal car design; Toyota Corolla; Kia Soul; Hyundai Elantra; gas mileage; environmental design

Subject

Engineering, Civil Engineering

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