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Analysis and optimization of truck windshield defroster


He, Z and Qu, X and Ji, L and Wu, W and Wang, X, Analysis and optimization of truck windshield defroster, Applied Sciences, 10, (16) Article 5671. ISSN 2076-3417 (2020) [Refereed Article]


Copyright Statement

2020 by the authors. Licensed under Creative Commons Attribution 4.0 International (CC BY 4.0)

DOI: doi:10.3390/app10165671


Frosting and fogging of automobile windshields is a common problem that emerges in daily driving. It is important and essential to quickly and completely defrost the windshield for safety purposes. In this study, a three-dimensional mathematical model was applied to investigate the flow distribution and flow characteristics on the windshield of a medium-size Model N800 truck. The simulation results were first compared with experimental data. The results showed that the simulation model could reliably predict the defrosting performance on the windshield. This model was then used to optimize the design of the defrosting duct that comprised the main part of the defroster. It was found that the guide plate and outlet position of the defrosting duct were the two major factors affecting the defrosting performance. Therefore, the guide plate was first optimized and the defrosting performance was analyzed. The results showed that the average pressure loss dropped by 21.56%, while the defrosting efficiency at the front white zone was improved to 89%. The position of the outlet of the airflow was further studied. The results showed that the defrosting efficiency at the front zone could be further improved to 99%.

Item Details

Item Type:Refereed Article
Keywords:defrosting, computational fluid dynamics, numerical simulation, optimization
Research Division:Engineering
Research Group:Mechanical engineering
Research Field:Energy generation, conversion and storage (excl. chemical and electrical)
Objective Division:Energy
Objective Group:Energy storage, distribution and supply
Objective Field:Energy systems and analysis
UTAS Author:Wang, X (Professor Xiaolin Wang)
ID Code:140867
Year Published:2020
Web of Science® Times Cited:3
Deposited By:Engineering
Deposited On:2020-09-11
Last Modified:2021-02-11
Downloads:14 View Download Statistics

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