OPTIMIZING VEHICLE DESIGN FOR EFFICIENCY: PRESSURE GRADIENT AND AERODYNAMICS EVALUATION USING CFD
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
References
Similar Articles
- Dr. Theresa Vance, Advanced Paradigms In 10G Automotive Ethernet: Integrating Hyperlynx-Validated Electromagnetic Shielding, Sustainable Printed Electronics, And Adaptive Control for Next-Generation ADAS Architectures , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dr. Arjun Prakash Nair, Dr. Nurul Syafiqah Binti Hassan, Prof. Chen Wei Liang, CAPACITANCE BIOSENSORS FOR THE RAPID DETECTION OF ESCHERICHIA COLI IN WATER , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Alaric Whitemore, The Architecture of Quality: Integrating Machine Learning, Blockchain, and Automated Analysis for the Evolution of Secure and Modular Software Systems , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Marcel H. Vogt, Prof. Xiangyu Li, Dr. Aurelien Dupont, QUOTIENT MECHANISM KINEMATIC ANALYSIS: A MANIFOLD IDENTIFICATION METHOD UTILIZING CHASLES' DECOMPOSITION MODELS , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Haruka Saito, Navigating the Incremental Frontier: A Comprehensive Framework for Uplift Modeling, Business Intelligence Integration, And Causal Inference in Financial Decision Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Paul Hathaway, A Comparative Analysis of Data-Driven Decision Support Systems: Bridging Clinical Epidemiology, Public Health Informatics, And Predictive E-Commerce Analytics in The Era of Big Data , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Mateo Laurent Dubois, Adaptive Chaos Engineering and AI-Driven Dependability Modeling for Resilient Cloud-Native and Safety-Critical Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Prof. Amir A. Faruqi, TECHNOLOGICAL INNOVATIONS AND CHALLENGES IN ULTRASONIC DISTANCE MEASUREMENT SYSTEMS , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 05 (2025): Volume 02 Issue 05
- Dr. Ethan Williams, Dr. Olivia Carter, Dr. Liam Anderson, Autonomous Fault Management in Cloud Environments Through Deep Learning-Based Decision Making , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Akmal Rakhimov, Role of Dashboard-Driven Insights in Client Management Documentation for Rural Lending Organizations , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
You may also start an advanced similarity search for this article.