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
Most read articles by the same author(s)
- Aarav Sharma, Ananya Patel, AI-Driven Scalability and Robotics Integration for Sustainable Construction Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Alistair Sterling, The Convergence of Graph-Theoretic Architectures and Agentic Artificial Intelligence in Optimizing Multi-Cloud Ecosystems: A Comprehensive Analysis of Cost Dynamics and Resource Allocation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Ahmad Fauzan Nugroho, Intelligent CAD-Based Framework for Automating Design Optimization and Rapid Prototyping in Engineering Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- Dr. Javad Ahmadi, Dr. Yingjie Zhao, OPTIMIZING ELECTRIC VEHICLE CHARGING INFRASTRUCTURE: A MULTI-OBJECTIVE GENETIC ALGORITHM APPROACH FOR SITING AND SIZING , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 03 (2025): Volume 02 Issue 03
- Dr. Puneet Garg, Survey of Artificial Intelligence-Driven Test Engineering for Secure Cloud Native Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Aleksandar Iliev, Dr. Elena Stojanovsk, Systematic Analysis of Deep Learning Models for Performance Assessment , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Joshua Hoffman, The Algorithmic Frontier of Financial Intermediation: A Comprehensive Analysis of Agentic AI, Large Language Models, And Blockchain Integration in Modern Fintech Ecosystems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Bekzod Karimov, Dilnoza Akhmedova, Robotics, Artificial Intelligence, and Sustainability: A Framework for Next-Generation Construction Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Sanjay K. Morello, Securing Multi-Tenant FPGA Clouds: Architectures, Threats, and Integrated Defenses for Trusted Reconfigurable Computing , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 08 (2025): Volume 02 Issue 08
- 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
Similar Articles
- Dr. Adrian Keller, Queuing-Integrated Deep Reinforcement Learning For Adaptive Task Scheduling In Cloud Data Centers , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Evan Richman, Advanced Evolutionary Optimization and Intelligent Sensor Integration for Electromagnetic Compatibility and Signal Integrity in Autonomous Vehicle Architectures , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Eleanor M. Whitford, Deep Learning and Intelligent Control in High-Stakes Systems: An Integrative Research Study on Lung Cancer CT Diagnosis and AI-Enabled Electric Vehicle Grid Management , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 04 (2026): Volume 03 Issue 04
- Dr. Melissa A. Hooper, Dr. Leonardo Carvalho, BIO-INSPIRED CERAMIC/RESIN COMPOSITES FOR ADVANCED LIQUID COOLING: 3D PRINTED LEAF-VEIN ARCHITECTURES FOR ENHANCED THERMAL MANAGEMENT , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Anika Vogel, Prof. Dmitri Volkov, PLASMA THERMAL DYNAMICS IN THE MAGNETIC FIELD OSCILLATING AMPLIFIED (MOA) THRUSTER: AN EXAMINATION OF ADIABATIC HEATING PROCESSES , International Journal of Next-Generation Engineering and Technology: Vol. 1 No. 01 (2024): Volume 01 Issue 01
- Dr. Mateo Alvarez, INTEGRATED ENVIRONMENTAL IMPACT AND PREDICTIVE ANALYTICS FRAMEWORK FOR OFFSHORE DRILLING DISCHARGES AND BENTHIC ECOSYSTEM INTEGRITY , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 02 (2026): Volume 03 Issue 02
- Dinesh Perera, Nethmi Fernando, AI-Enabled Test Case Generation and Optimization for Modern Software Development , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 08 (2026): Volume 03 Issue 08
- Dr. Ahmad Fauzan Nugroho, Intelligent CAD-Based Framework for Automating Design Optimization and Rapid Prototyping in Engineering Systems , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 06 (2026): Volume 03 Issue 06
- John M. Aldridge, Secure, Privacy-Preserving FPGA-Enabled Architectures for Big Data and Cloud Services: Theory, Methods, and Integrated Design Principles , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Kwame Mensah, Abena Owusu, An Analytical Framework for Neural Network Architectures and Their Emerging Applications , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 10 (2026): Volume 03 Issue 10
You may also start an advanced similarity search for this article.