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
- Anastasiia Livintseva, Integrating Urban Development and Entrepreneurship: How A Product-Oriented Approach Is Transforming and Real Estate Development , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 11 (2025): Volume 02 Issue 11
- Abhishek Agarwal, Anil Desai, VEHICLE HEALTH INSPECTIONS IN THE DIGITAL AGE: HARNESSING AUTO DIAGNOSTICS FOR PROACTIVE MAINTENANCE , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 06 (2025): Volume 02 Issue 06
- Samuel T. Ridgeway, Factory-Grade GPU Diagnostic Automation in Digital Pathology and Computational Inference Systems: A Cross-Domain Theoretical and Applied Investigation , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Clara Engelhardt, Resilient and Secure Time-Sensitive Architectures for Safety-Critical Cyber-Physical Systems: Integrating Predictability, Networking Standards, And Fault-Tolerant Design , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 01 (2026): Volume 03 Issue 01
- Dr. Adrian K. Morales, Securing Multi-Tenant FPGA Accelerators for Cloud Cryptography: Architectures, Threat Models, and Practical Countermeasures , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 09 (2025): Volume 02 Issue 09
- Dr. Elena V. Markovic, Dr. Omar N. Haddad, Integrated Predictive Intelligence for Critical Decision Systems: A Comparative Research Framework Linking Machine Learning in Residential Energy Management and Disease Risk Prediction , International Journal of Next-Generation Engineering and Technology: Vol. 3 No. 03 (2026): Volume 03 Issue 03
- Dr. Simona Kript, The Convergence of Spatiotemporal Deep Learning and Trustworthy Biometrics: A Comprehensive Review of Human Activity Recognition, Ethical Governance, And Security Paradigms , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- Mateo Villarreal, Cloud-Enabled Big Data Analytics: Architectural Foundations, Security Challenges, And Sectoral Applications in The Era of Scalable Digital Intelligence , International Journal of Next-Generation Engineering and Technology: Vol. 2 No. 12 (2025): Volume 02 Issue 12
- 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
- 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
You may also start an advanced similarity search for this article.