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Aarav Agarwal
Independent Researcher
India
ABSTRACT
Computational fluid dynamics (CFD) has emerged as a pivotal tool for analyzing airflow distribution and thermal comfort within automotive cabins. This study presents a detailed CFD-based investigation of airflow behavior in a mid-size sedan cabin under varying ventilation configurations representative of 2018 technology. Using the Reynolds-averaged Navier–Stokes (RANS) approach with the standard k-ε turbulence model, simulations were conducted to evaluate velocity fields, turbulence intensity, and temperature distribution for front, side, and rear panel air vents. The results highlight non-uniform airflow patterns leading to potential thermal discomfort zones. Statistical analysis quantifies mean velocity and turbulence intensity across vent locations. Methodology details mesh generation, boundary condition selection, and solver validation against published experimental data. Key findings reveal that front-vent configurations yield the highest mean velocity but also the greatest turbulence, while side vents produce more uniform distribution at lower intensities. Identified research gaps include the need for transient simulations, human-body thermal modeling, and optimization of vent louvre design. The study concludes with recommendations for improving cabin ventilation effectiveness, guiding engineers in HVAC system design within the constraints of technologies available up to 2018.
KEYWORDS
CFD, Automotive Cabin Ventilation, Airflow Distribution, Turbulence Modeling, Thermal Comfort
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