Engine cooling fan layout study of a medium size pickup truck

QIN Dongchen; LIU Sisi; SHAN Wangzhen; LI Bin; ZHANG Zebin

doi:10.7638/kqdlxxb-2023.0219

English Version Journal Login

您当前的位置：

首页 >

文章列表页 >

Engine cooling fan layout study of a medium size pickup truck

更新时间：2026-07-27

- Engine cooling fan layout study of a medium size pickup truck
- Vol. 42, Issue 7, Pages: 77-85(2024)
- 作者机构：
  
  1. 郑州大学机械与动力工程学院,郑州,450001
  2. 郑州日产汽车有限公司技术中心车型开发部整车技术科,郑州,450000
- 作者简介：
- 基金信息：
- DOI：10.7638/kqdlxxb-2023.0219
  CLC： U462.1
- Published：2024
- 稿件说明：
移动端阅览
秦东晨, 刘司司, 单王珍, 等. 某中型皮卡发动机冷却风扇布局优化[J]. 空气动力学学报, 2024, 42(7): 77−85.

QIN Dongchen, LIU Sisi, SHAN Wangzhen, et al. Engine cooling fan layout study of a medium size pickup truck[J]. 2024, 42(7): 77-85.
秦东晨, 刘司司, 单王珍, 等. 某中型皮卡发动机冷却风扇布局优化[J]. 空气动力学学报, 2024, 42(7): 77−85. DOI： 10.7638/kqdlxxb-2023.0219

QIN Dongchen, LIU Sisi, SHAN Wangzhen, et al. Engine cooling fan layout study of a medium size pickup truck[J]. 2024, 42(7): 77-85. DOI： 10.7638/kqdlxxb-2023.0219.

摘要

冷却风扇作为汽车发动机冷却模块的关键部件，其空间位置直接影响机舱内的流场结构，决定了通过散热器的空气流量，进而影响发动机的散热性能。为了确定既定冷却风扇在某新车型机舱内的最佳布局，以散热器流量及流量波动为目标，以风扇的空间坐标位置为变量，面向流场结构进行了布局优化。首先，通过试验设计方法生成初始设计样本点并进行几何参数化建模；然后，针对实际工况需求，选择关键车速条件，进行发动机舱内流场的CFD仿真，基于仿真结果建立Kriging代理模型；最后，以散热器进口流量和流速标准差为目标进行多目标优化，通过遗传算法获取Pareto最优解集，基于高维参变量可视化技术进行了结果分析，为机舱内零部件的布局决策提供了有价值的参考。研究结果显示了冷却风扇沿车行进方向的位置改变与散热器流量的显著相关性，为新车型冷却风扇的布置方案提供全局最优性的理论支撑。

Abstract

The cooling fan

a critical component of the automotive engine cooling module

holds utmost significance in influencing the engine's cooling efficiency

particularly in high-power diesel engines. Its precise positioning has a direct impact on the flow field structures in the engine compartment

the airflow through the radiator and consequently

the engine's heat dissipation performance. In this study

an optimization method is developed to determine the optimal placement of a cooling fan in a new engine compartment. This method aims to refine the layout and flow field structures by closely examining the radiator flow and flow fluctuations

with the fan's position as the variable. The optimization process begins by generating initial design sample points using experimental design methods

followed by geometric parametric modeling. Next

typical vehicle speeds are selected to simulate flow fields in the engine compartment under actual working conditions. A Kriging surrogate model is then established based on the simulation results. A multi-objective optimization is subsequently carried out

aiming to achieve the desired radiator inlet flow and standard deviation of flow rate. The Pareto optimal solution set is obtained through a genetic algorithm

and the results are analyzed using multi-dimensional parameter variable visualization method

which provides a valuable reference for the layout decision of parts in the cabin. The results demonstrate a significant correlation between the positional change of the cooling fan along the vehicle's travel direction and the radiator flow. This correlation provides theoretical support for the global optimality of the layout scheme of the new model's heat dissipation module.

关键词

Keywords

references

LI Z Z. Research of internal flow characteristics of underhood for heavy-duty truck based on layout of cooling modules[D].Changchun: Jilin University, 2012(in Chinese).

GENG Y L. Research on heat dissipation of commercial vehicle engine compartment based on 1D/3D co-simulation[D].Changchun: Jilin University, 2021(in Chinese).

YUAN X Y, GU Z Q, YANG Y, et al. Numerical simulation on vehicle underhood cooling[J]. Automotive Engineering, 2009, 31(9): 843847, 853(in Chinese).

ZHANG Z, BUISSON M, FERRAND P, et al. Meta-model based optimization of a large diameter semi-radial conical hub engine cooling fan[J]. Mechanics and Industry, 2014, 16(1): 102.

LIU C B, LU L, MO Y M, et al. Simulation and optimization of cooling assembly arrangement in vehicle engine compartment[J]. Automotive Engineering, 2018, 40(3): 245250, 258(in Chinese).

LAWRENCE V. Underhood airflow simulation of a passenger car using computational fluid dynamics: 2001-01-3800[R]. SAE Technical Paper, 2001.

LIU C C, ZHANG B Q, SUN J, et al . Aerodynamic drag computation and numerical analyses of aerodynamic characteristics about camion[J ] . Automobile Science and Technology, 2005 ( 4 ): 24 − 26 (in Chinese).

MEHRAVARAN M, ZHANG Y. Optimizing the geometry of fan-shroud assembly using CFD: 2015-01-1336[R]. SAE Technical Paper, 2015.

DUAN D L, ZHANG Y Z . Study of auto cooling system arrangement[J ] . Machinery, 2017 , 44 ( 1 ): 40 − 44 (in Chinese).

HU W C, WANG L M, ZOU X J, et al . Influence of fan arrangement on truck heat dissipation performance[J ] . Automobile Technology, 2014 ( 10 ): 22 − 27 (in Chinese).

HU X J, LUO Y F, JIN X, et al . Research on influence of combined factors on thermal management in commercial vehicle cabin[J ] . Journal of Hunan University (Natural Sciences), 2023 , 50 ( 4 ): 38 − 47 (in Chinese).

ZHOU D H, LUO R H, WANG Z F . Layout optimization of cooling modules in a commercial vehicle engine compartment[J ] . Journal of Automotive Safety and Energy, 2022 , 13 ( 2 ): 378 − 385 (in Chinese).

CIOPPA T M, LUCAS T W. Efficient nearly orthogonal and space-filling Latin hypercubes[J]. Technometrics, 2007, 49(1): 4555.

WANG Y. Sub-design selection for orthogonal Latin hypercube design[D].Changchun: Northeast Normal University, 2019(in Chinese).

ZHANG Z B, ZHANG P F, LI R Z. SOM-Based High-Dimensional Design Spaces Mapping for Multi-Objective Optimization[J]. Journal of Northwestern Polytechnical University, 2020, 38(3): 677684(in Chinese).

ZHANG Z B, ZHANG P F, GUO H, et al . Implementation of Kriging model based sequential design on the optimization of sliding bearing[J ] . Journal of Harbin Institute of Technology, 2019 , 51 ( 7 ): 178 − 183 (in Chinese).

FANG K T, LIN D K J, WINKER P, et al . Uniform design: Theory and application[J ] . Technometrics, 2000 , 42 ( 3 ): 237 − 248 .

ZHANG Z B, DEMORY B, HENNER M, et al. Space infill study of Kriging meta-model for multi-objective optimization of an engine cooling fan[C]//ASME Turbo Expo 2014: Turbine Technical Conference and Exposition, Düsseldorf, Germany, 2014.

ZHANG Z B, JING S Z, YUAN S P, et al. Robust analysis of hydrodynamic performance under variable rotation speeds[J]. Journal of Beijing University of Aeronautics and Astronautics, 2024, 50(4): 12191228(in Chinese).

FENG W, LIU X X, ZHANG Z D, et al . Heterogeneity of vehicle exchanger's surface velocity and its influence[J ] . Agricultural Equipment Vehicle Engineering, 2017 , 55 ( 8 ): 35 − 39 (in Chinese).

Views

下载量

CSCD

Alert me when the article has been cited

提交

Tools

Publicity Resources

Gust loads alleviation of flying wing aircraft based on jet flow control

A parallel fast iteration method for wall distance implemented in PHengLEI

Aerodynamic and wind energy harvesting integrative design for UAVs

Optimization of hot-air anti-icing structures based on neural networks and genetic algorithms

Development and application of a credibility assessment platform for CFD software

Related Author

Xia Yuhang

Guo Pengyu

Liao Xueqi

Zhang Weiyuan

Shi Zhiwei

Mei Yang

Ren Yuxin

Zhou Hanyu

Related Institution

College of Aerospace Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing

School of Aerospace Engineering, Tsinghua University, Beijing

School of Aeronautics, Northwestern Polytechnical University, Xi'an

National Key Laboratory of Aircraft Configuration Design, Xi'an

Low Speed Aerodynamics Institute of China Aerodynamics Research and Development Center, Mianyang

AI问答

⁰