Development of an Algorithm for Predicting the Heat Resistance Temperature of Automotive Lamps

Heat generated from the bulb of an automotive lamp is transferred to the lamp reflector and lens through a heat-transfer mechanism. If the heat transferred to the reflector and lens exceeds the heat resistance limit of the materials used in their production, the materials deform. Therefore, lamp des...

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Bibliographic Details
Published in:International journal of automotive technology 2024, 25(3), 139, pp.469-479
Main Authors: Seo, Seong-Won, Kim, Youngwan, Lee, Kwon-Yeong
Format: Article
Language:English
Subjects:
Algorithms
Automotive Engineering
Computational fluid dynamics
Design
Electric
Engineering
Fluid and Thermal Engineering
Fuel Cell
Fuels and Lubricants
Heat resistance
Heat sources
Heat Transfer
Hybrid Vehicle
Lamps
Lenses
Predictions
Thermal resistance
Vision and Sensors
자동차공학
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Summary:Heat generated from the bulb of an automotive lamp is transferred to the lamp reflector and lens through a heat-transfer mechanism. If the heat transferred to the reflector and lens exceeds the heat resistance limit of the materials used in their production, the materials deform. Therefore, lamp designers must design lamps within a limited range. If the lamp fails the heat resistance test after the design and pilot model production, the design process must be restarted. Redesigning requires significant time and costs. Therefore, a temperature-prediction algorithm for a single-function lamp during the initial design stage was developed in a previous study. In this study, a multifunction temperature-prediction algorithm with two or more heat sources was developed to predict the temperature of lamps of various shapes. The focus length based on the parabolic shape of the bulb installation surface and corner slope values near the lens were used to reflect the actual shape of the lamp. The introduction of the effective area improved the accuracy of the temperature prediction for the upper surface, which was strongly influenced by convection. The performance of the developed algorithm was evaluated by comparison with the computational fluid dynamics (CFD) results of an actual lamp model. Consequently, it was confirmed that the newly developed best prediction algorithm can be effectively applied to new automotive lamp designs.
ISSN:1229-9138
1976-3832
DOI:10.1007/s12239-024-00037-3