Automotive defroster system is one of the key active safety systems, which ensures clear visibility during windshield fogging and icing scenarios. This paper describes a Computational Fluid Dynamics (CFD) simulation method, which has been developed in Star-CCM+, to predict the ice layer melting patterns vis-ä-vis de-icing time, similar to a typical deicing test done in a Climatic Wind Tunnel (CWT). The method has two parts - a) development of a model which predicts ice melting & b) accurate prediction of heat transfer to and from ice layer on windshield for getting accurate information on the melt pattern. The method development included investigations into phase dependent material properties of ice layer, effect of external airflow on heat transfer from the ice layer as well as the effect of cabin's thermal mass on heat transfer through the windshield. A de-icing test program yielded data required to validate the simulation method. These tests were conducted for various load cases (different flow rates, & geometries) for multiple carlines ranging from compact cars to large SUVs. Simulations corresponding to all these tests were carried out and the results from simulations and tests were compared. A precise comparison of results was possible through image processing resulting in overlaid melt patterns from tests & simulations. The simulation method also focused on ensuring that computation time remains modest.
Development and validation of windshield de-icing simulation methodology
2012
10 Seiten, 7 Bilder, 14 Quellen
Aufsatz (Konferenz)
Englisch
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