LAPSE:2023.21238
Published Article
LAPSE:2023.21238
CFD Simulation of Defogging Effectivity in Automotive Headlamp
Michal Guzej, Martin Zachar
March 21, 2023
In the past decade, the condensation of internal air humidity in automotive headlamps has become more prevalent than ever due to the increased usage of a new light source—LEDs. LEDs emit far less heat than previously-used halogen lamps, which makes them far more susceptible to fogging. This fogging occurs when the internal parts of the headlamp fall to a temperature below the dew point. The front glass is most vulnerable to condensation due to its direct exposure to ambient conditions. Headlamp fogging leads to a decrease in performance and the possibility of malfunctions, which has an impact not only on the functional aspect of the product’s use but also on traffic safety. There are currently several technical solutions available which can determine the effectivity of ventilation systems applied for headlamp defogging. Another approach to this problem may be to use a numerical simulation. This paper proposes a CFD (computational fluid dynamics) simulation with a slightly simplified 3D model of an actual headlamp, which allows simulation of all the phenomena closely connected with fluid flow and phase change. The results were validated by real experiments on a special fogging−defogging test rig. This paper compares three different simulations and their compliance with real experiments.
Keywords
Computational Fluid Dynamics, condensation, defogging, dew point, fogging, headlamp
Suggested Citation
Guzej M, Zachar M. CFD Simulation of Defogging Effectivity in Automotive Headlamp. (2023). LAPSE:2023.21238
Author Affiliations
Guzej M: Brno University of Technology, Faculty of Mechanical Engineering, 61669 Brno, Czech Republic
Zachar M: Brno University of Technology, Faculty of Mechanical Engineering, 61669 Brno, Czech Republic [ORCID]
Journal Name
Energies
Volume
12
Issue
13
Article Number
E2609
Year
2019
Publication Date
2019-07-07
Published Version
ISSN
1996-1073
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Original Submission
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PII: en12132609, Publication Type: Journal Article
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LAPSE:2023.21238
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doi:10.3390/en12132609
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Mar 21, 2023
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