Optimization of Car Interior Temperature Regulation and Air Infiltration System Using Computational Fluid Dynamics Analysis

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Amandeep Singh Wadhwa, Anjali Gupta, Jodh Singh, Gurjeet Kaur


This study addresses the pressing issue of regulating automotive cabin temperatures, particularly in scenarios of prolonged sunlight exposure. As parked cars can quickly reach internal temperatures exceeding 70ºC, with even cloudy days seeing highs of 55ºC, there's a critical need for efficient interior climate control. Traditional air conditioning systems struggle to rapidly adjust cabin temperatures upon engine startup, leading to increased engine workload and fuel consumption. Moreover, the prevalence of heat-related illnesses among children left unattended in vehicles underscores the urgency of this challenge. To tackle these issues, our project focuses on implementing a thermal management system to regulate cabin temperatures and ensure continuous fresh air infiltration. Through the integration of an exhaust and blower fan assembly, we conduct comprehensive computational fluid dynamics (CFD) simulations using FLUENT, alongside modeling and meshing in GAMBIT. Our analysis aims to assess the performance of various assembly configurations, identify flow patterns including potential dead zones, and evaluate temperature variations within the car. By determining optimal assembly settings and operational parameters, our research seeks to enhance automotive cabin comfort, safety, and energy efficiency. This study contributes to the development of innovative solutions for mitigating the adverse effects of extreme temperatures within vehicle interiors, ultimately striving towards a safer and more comfortable driving experience for all passengers.

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