Paper
1 April 2024 Optimization of heat dissipation performance of engine compartment based on SSA-RBFNN-NSGA-II
Chuanbo Liu, Shijie Liang, Guangyuan Yang
Author Affiliations +
Proceedings Volume 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023); 130822S (2024) https://doi.org/10.1117/12.3026343
Event: 2023 4th International Conference on Mechanical Engineering, Intelligent Manufacturing and Automation Technology (MEMAT 2023), 2023, Guilin, China
Abstract
In the existing research, the measures to increase the intake air volume of the cabin are usually taken to solve the heat dissipation problem inside the cabin, but these measures will lead to the increase of the internal flow resistance. When evaluating the thermal performance of the engine room, most of the existing studies are based on the specific temperature or ventilation volume of some components, without considering the influence on the whole engine room. When evaluating the flow resistance in the cabin, most of the analysis is based on the flow field cloud image and flow line, but there is a lack of specific quantitative indicators. Taking a passenger car as an example, this paper conducts a systematic study from the aspects of evaluation index establishment, optimization parameter determination, prediction model construction, multi-objective optimization, etc. The purpose is to exchange the best design optimization for a greater improvement in heat dissipation performance. Through experimental comparison, the pressure loss value in the optimal model is reduced by 14.781% compared with the original model, and the temperature efficiency value is increased by 15.163%. The results further verify that the proposed evaluation index can be applied to the multi-objective optimization of engine room heat dissipation performance and inflow resistance, and provide a theoretical basis for the body shape and the general layout of the engine room.
© (2024) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Chuanbo Liu, Shijie Liang, and Guangyuan Yang "Optimization of heat dissipation performance of engine compartment based on SSA-RBFNN-NSGA-II", Proc. SPIE 13082, Fourth International Conference on Mechanical Engineering, Intelligent Manufacturing, and Automation Technology (MEMAT 2023), 130822S (1 April 2024); https://doi.org/10.1117/12.3026343
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KEYWORDS
Mathematical optimization

Resistance

Design

Performance modeling

Fluctuations and noise

Data modeling

Computer simulations

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