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Numerical simulation and optimisation of automotive air-conditioning and defrosting ducts


He, Z and Wang, T and Zhang, W and Wang, X, Numerical simulation and optimisation of automotive air-conditioning and defrosting ducts, Proceedings of the 12th International Conference on Sustainable Energy Technologies (SET 2013), 26-29 August 2013, Hong Kong, China, pp. 1-11. ISBN 978-988-15439-5-0 (2013) [Refereed Conference Paper]

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Windshield defrosting performance affects the safety of drivers and passengers in automotives and it is a mandatory testing indicator in most national automotive standards. Therefore the structure design of defrosting ducts is a crucial part of automotive air-conditioning systems. This study focused on the structure of automotive defrosting ducts and used numerical simulation to investigate the defrosting effect and volume allocation of automotive air conditioning. A k-ε turbulence models is established to study the transient temperature distribution of the flow field along the windshield and hence investigates the defrosting effect. By using this established model, the shape of duct and airflow direction at the outlet of the defroster nozzle was optimized. The simulation results showed that the optimized defrosting duct provided the airflow sufficient momentum to blow across the inner surface of the windshield and side windows. It minimized the loss of airflow speed and ensured most of airflow to blow to upper edge of the windshield without detaching from the glass. This optimized design also reduced the air recirculation between the edge of the windshield and dashboard and hence reduced the energy consumption. It substantially improved the defrosting performance.

Item Details

Item Type:Refereed Conference Paper
Keywords:CFD, automotive air conditioning, defroster system
Research Division:Engineering
Research Group:Mechanical engineering
Research Field:Numerical modelling and mechanical characterisation
Objective Division:Energy
Objective Group:Energy efficiency
Objective Field:Energy efficiency not elsewhere classified
UTAS Author:Wang, X (Professor Xiaolin Wang)
ID Code:86377
Year Published:2013
Deposited By:Engineering
Deposited On:2013-09-10
Last Modified:2014-11-27
Downloads:4 View Download Statistics

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