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PMID: 39174609 Published · epublish English Journal Article

Numerical investigation of thermal soak within engine bay using lattice Boltzmann method.

Scientific reports ·Vol. 14 ·No. 1 ·2024-08-22 ·页码 19472

Gao Z, Yang Y, Hu X, Wang J, Guo P, Wang L

Abstract

A large amount of heat accumulates in the engine bay for a short time after the engine runs at high load and shuts down, that will lead to thermal damage and thermal fatigue caused by the temperature rise of some heat sensitive components. This paper uses an aero-thermal coupling approach to study the heat transfer problem in the engine bay of an SUV model under thermal soak conditions. Due to the transient characteristics of the heat transfer process, the natural transient CFD software developed based on the LBM method is used to study the engine bay heat transfer during the 400 s key-off soak process. The analysis reveals that convection and radiation are the main heat transfer modes in the early stage of hot immersion (0-120 s), and conduction only makes a significant contribution in contact with high temperature sources. The radiation and convection are the key contributors to heat transfer processes of engine bay during soak, but the efficiency of radiation heat transfer decreases with the increase of time, whereas the efficiency of convection heat transfer is not always reduced, it will increase and then decrease with the increase of time. The coupling method established can predict the thermal state in the engine bay well, and is in good agreement with the experimental results. The results show that the error in the engine coolant temperature is less than 1 °C, and the error in the temperature of the heat-sensitive components is less than 5 °C. Finally, the potential risks of thermal damage and thermal fatigue states were assessed, providing an important reference for the control design of cooling fan running time after key-off.

Keywords
Aero-thermal coupling method Drive cycle LBM algorithm Soak condition of vehicle
作者与单位
共 6 位作者,点击展开单位 / ORCID
Gao Zhenhai
College of Automotive Engineering, Jilin University, Chang Chun, 130000, China.
Yang Yang
College of Automotive Engineering, Jilin University, Chang Chun, 130000, China.
Hu Xingjun
College of Automotive Engineering, Jilin University, Chang Chun, 130000, China. [email protected].
Wang Jingyu
College of Automotive Engineering, Jilin University, Chang Chun, 130000, China.
Guo Peng
College of Automotive Engineering, Jilin University, Chang Chun, 130000, China.
Wang Luwei
College of Automotive Engineering, Jilin University, Chang Chun, 130000, China.
Article Info
Journal
Scientific reports
Abbr.
Sci Rep
ISSN
2045-2322
Corresponding email
Published
2024-08-22
电子出版
2024-00-22
页码
19472
Language
English
Country/Region
England
NLM ID
101563288
基金资助
National Key Research and Development Program of China · No. 2022YFE0208000
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