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Stream/Area:
-
Subject:
-
Paper ID:
IJSREM66597
Volume:
10 |
8 |
Aug 2026
Pages:
1-8
Publication Frequency:
Monthly (12 issues per year)
License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.
Mechanical Engineering
Aditya Engineering College, Beed, Maharashtra, India
Mechanical Engineering
Aditya Engineering College, Beed, Maharashtra, India
The rapid evolution of technology within the modern automotive industry has necessitated a paradigm shift in vehicle design, focusing not only on high performance but also on peak energy efficiency. A critical determinant of a vehicle's performance and efficiency is its aerodynamic profile. As a vehicle moves, it continuously displaces surrounding air, generating aerodynamic drag due to air resistance. Effective management of this airflow over, under, and around the vehicle body minimizes drag, thereby enhancing fuel economy, extending battery range, and improving high-speed stability through optimized downforce and lift characteristics. A primary challenge in automotive aerodynamics is flow separation, where the boundary layer of air detaches from the vehicle's rear contours due to adverse pressure gradients, creating a turbulent wake that drastically increases form drag. To mitigate this phenomenon, aerodynamicists employ passive flow control devices known as Vortex Generators (VGs). These strategically placed aerodynamic vanes manipulate the boundary layer by generating controlled localized vortices that draw high-energy air closer to the surface, delaying flow separation and shrinking the turbulent wake. This research conducts a comprehensive aerodynamic simulation using Computational Fluid Dynamics (CFD) via SolidWorks Flow Simulation on a sports car model. The methodology involves establishing an accurate baseline computational model, introducing vortex generators, and quantifying the resultant alterations in pressure distribution and drag forces. By extracting drag coefficients, generating surface pressure contour plots, and visualizing flow trajectories, this study evaluates the overall impact of VGs on vehicle performance efficiency. Benchmarked against established Formula SAE aerodynamic studies, this dissertation provides vital, data-driven insights into optimized VG application, aiding the automotive industry's pursuit of highly efficient, high-performance vehicle design methodologies.
KEYWORDS
This study demonstrates a definitive framework for applying Computational Fluid Dynamics to optimize the aerodynamic efficiency of high-speed vehicles. By shifting away from traditional, cost-prohibitive wind tunnel testing and utilizing robust CAD-integrated solvers like SolidWorks Flow Simulation, it is possible to accurately map and mitigate turbulent wake zones. The introduction of Vortex Generators significantly delays boundary layer flow separation, resulting in a quantifiable reduction in overall drag forces. By carefully evaluating surface pressure contour lines and localized flow trajectories, engineers can harness passive aerodynamic vanes to improve vehicle performance and fuel efficiency systematically. Ultimately, these simulations provide highly reliable data-driven insights that correspond directly with validated automotive design practices.
[1]. Sen, W., Rahman, K. A., & Tanim, I. K. (2019). Experimental and CFD Analysis on Car with Several Types of Vortex Generators. [2]. Paul, S. Various Aerodynamic Forces. [3]. Different Types of Vortex Generators. [4]. Turner, M. Wings and Spoilers: Lift and Drag. [5]. Bansal, R., & Sharma, R. B. (2014). Drag Reduction of Passenger Car Using Add-On Devices. [6]. Fernandez, X. (2014). The Low Profile Gate for the Subsonic Wind Tunnel. [7]. Islam, R., Hossain, A., Mashud, M., & Gias, T. I. (2013). Drag Reduction of a Car by Using Vortex Generator. [8]. Lin, J. C. (2002). Review of Research on Low-Profile Vortex Generators to Control Boundary-Layer Separation.
Publication Date
8/7/2026
Peer Review Type
Double-Blind Peer Review
Review Rounds: 2
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Conflict of Interest
The authors declare no conflict of interest related to this research work.
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