Open Access
OPTIMIZING VEHICLE DESIGN FOR EFFICIENCY: PRESSURE GRADIENT AND AERODYNAMICS EVALUATION USING CFD
4
Department of Automotive Engineering, University of Michigan, Ann Arbor, USA
4
Department of Fluid Dynamics, Moscow Institute of Physics and Technology, Russia
Abstract
The evaluation of aerodynamics plays a critical role in the performance, fuel efficiency, and stability of vehicles. Understanding how air interacts with the surface of a moving vehicle is essential to optimize designs for minimal drag and improved handling. This study investigates the aerodynamic behavior and pressure gradient distribution around a moving vehicle using computational fluid dynamics (CFD) simulations. The objective is to analyze how different flow conditions impact the pressure distribution on the vehicle's body, which, in turn, affects the drag force and overall vehicle performance. The research specifically focuses on identifying regions of high-pressure gradients, which are crucial in understanding vehicle stability, drag, and the potential for turbulence. Results demonstrate significant variations in pressure distribution depending on vehicle speed, shape, and surrounding environment. The study concludes by proposing potential design modifications that could reduce drag and improve vehicle efficiency.
Keywords
Aerodynamics,
Pressure Gradient,
Vehicle Design,
Computational Fluid Dynamics (CFD)
References
Anderson, J. D. (2017). Computational Fluid Dynamics: The Basics with Applications (3rd ed.). McGraw-Hill.
Barlow, J. B., Rae, W. H., & Pope, A. (2003). Low-Speed Wind Tunnel Testing (3rd ed.). John Wiley & Sons.
Blanchard, S., & Davies, G. (2009). An experimental investigation of aerodynamic drag reduction in automotive applications. Journal of Wind Engineering and Industrial Aerodynamics, 97(12), 482-495.
Cengel, Y. A., & Boles, M. A. (2014). Thermodynamics: An Engineering Approach (8th ed.). McGraw-Hill.
Chung, H., & Jung, Y. (2020). Aerodynamic performance optimization for vehicle designs: A CFD approach. International Journal of Automotive Technology, 21(3), 553-565.
Durst, F., & Hanjalic, K. (2006). Computational Fluid Dynamics and the Aerodynamics of Vehicles. International Journal of Computational Fluid Dynamics, 20(3), 233-241.
Katz, J., & Plotkin, A. (2001). Low-Speed Aerodynamics: From Wing Theory to Panel Methods (2nd ed.). Cambridge University Press.
Lee, S. Y., & Kim, J. S. (2017). A study on the aerodynamic drag of a passenger vehicle using computational fluid dynamics. Journal of Mechanical Science and Technology, 31(8), 3935-3943.
Liepmann, H. W., & Roshko, A. (2001). Elements of Gas Dynamics. Dover Publications.
Singh, P., & Kumar, M. (2015). Computational fluid dynamics for vehicle aerodynamics: A review. International Journal of Vehicle Structures and Systems, 7(2), 96-102.
Sjoberg, R. (2008). Wind tunnel tests and aerodynamic design for fuel-efficient vehicle systems. Journal of Automobile Engineering, 222(4), 621-631.
Xie, M., & Chen, Z. (2013). Numerical study of aerodynamic drag reduction in vehicle design using computational fluid dynamics. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering, 227(8), 1034-1046.
Yoon, M., & Park, J. (2015). Impact of vehicle body shape on aerodynamic drag and pressure distribution. Applied Energy, 147, 253-263.
Zhao, X., Liu, F., & Cheng, L. (2019). Numerical investigation of the aerodynamic performance of a moving vehicle using CFD simulations. Journal of Fluid Mechanics, 855, 528-550.
Zhang, L., & Cao, J. (2020). Vehicle drag reduction using innovative aerodynamic design techniques. Automobile Engineering Journal, 38(5), 123-134.
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