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Research on a new method to optimize the thermal characteristics of an engine nacelle cooling module

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Abstract

Heat reflow in the fan rotation center of a forced convection cooling system has a great influence on heat dissipation. In this research, a calculation model of the external flow field of an engine compartment’s cooling module was established. Computational fluid dynamics method was used to calculate and analyze the heat flow characteristics of the existing radiator. By comparing the calculations with the experimental results, the regions and the reasons for the heat reflow were found. The existing heat dissipation scheme was recalculated by using the secondary heat dissipation model, and an optimized and improved scheme was proposed to introduce a deflector cone structure to eliminate heat reflow. This structure was connected to the fan hood by four blades. The front end of the structure acted as a diversion for the conical structure, and the back end was a hollow cylinder structure, making it easier for the fluid to transition to the conical structure. Both ends and the distance between the vertebrae were set to range from 2–5 mm. The research results showed that the secondary heat dissipation model could more accurately describe the heat reflow problem of the engine compartment, the heat flow organization of the improved structure was more reasonable, and the temperature distribution was more uniform. Moreover, the theoretical heat dissipation effect of the improved structure was more than 10 % higher than that of the existing structure.

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Abbreviations

ρ v :

Density of air [kg/m3]

ρ L :

Density of liquid [kg/m3]

c p :

Specific heat capacity [J/(kg·K)]

C :

Inertial resistance coefficient [kg/m4]

D :

Viscous resistance coefficient [kg/(m3·s)]

D h :

Hydraulic diameter [m]

N :

Engine speed [rpm]

P :

Engine power [W]

P :

Pressure [pa]

ΔP :

Pressure difference [pa]

Q :

Volume flow rate [L/min]

V :

Air velocity [m/s]

T :

Thermodynamic temperature [°C]

ΔT :

Temperature difference [°C]

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Acknowledgements

This work was supported by the Research Program 2022 Science Research Project of Hunan Province Education Department (22C0498) and the Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province (ZNKZN2019-05, ZNKZN2021-06), China.

Author information

Authors and Affiliations

  1. School of Physics, Electronics and Intelligent Manufacturing, Huaihua University, Huaihua, 418000, China

    Lei Guo & Jing Hu

  2. Key Laboratory of Intelligent Control Technology for Wuling-Mountain Ecological Agriculture in Hunan Province, Huaihua, China

    Lei Guo & Jing Hu

  3. Hunan Zunfeng Mechanical and Electric Technology Co., Ltd., Huaihua, 418000, China

    Maojun Zhou

Authors
  1. Lei Guo
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  2. Maojun Zhou
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  3. Jing Hu
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Corresponding author

Correspondence to Jing Hu.

Additional information

Lei Guo is a Professor in the School of Physics, Electronics and Intelligent Manufacturing, Huaihua University, Hunan, China. He received his Ph.D. in Thermal Engineering from Shandong University. His research interests include heat transfer enhancement, two-phase flow, nan-ofluids, and modern heat transfer.

Maojun Zhou is the general manager of HunanZunfengMechanical and Electric Technology Co., Ltd. He received his Bachelor’s degree in Engineering from Hunan Institute of Engineering. He mainly engages in intelligent fire protection and precision energy-saving technology research.

Hu Jing is an engineer in the School of Physics, Electronics and Intelligent Manufacturing, Huaihua University, Hunan, China. He received his Master’s degree in Mechanical Engineering from Hunan University. His main research interest is numerical heat transfer simulation.

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Guo, L., Zhou, M. & Hu, J. Research on a new method to optimize the thermal characteristics of an engine nacelle cooling module. J Mech Sci Technol 37, 2639–2648 (2023). https://doi.org/10.1007/s12206-023-0437-2

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  • DOI: https://doi.org/10.1007/s12206-023-0437-2

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