机械工程

基于多尺度方法的机油冷却器数值模拟

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  • 1. 华南理工大学 机械与汽车工程学院,广东 广州 510640; 2. 佛山市 南海蕾特汽车配件有限公司,广东 佛山 528244
苏峰华(1980-),男,教授,博士生导师,主要从事摩擦学及换热器优化研究。

收稿日期: 2019-11-11

  修回日期: 2019-12-20

  网络出版日期: 2020-05-01

基金资助

国家自然科学基金资助项目 (51775191)

Numerical Simulation of an Oil Cooler Based on Multi-Scale Method

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  • 1. School of Mechanical and Automotive Engineering,South China University of Technology,Guangzhou 510640,Guangdong,China; 2. Foshan Nanhai Lei Te Automotive Parts Co. ,Ltd. ,Foshan 528244,Guangdong,China
苏峰华(1980-),男,教授,博士生导师,主要从事摩擦学及换热器优化研究。

Received date: 2019-11-11

  Revised date: 2019-12-20

  Online published: 2020-05-01

Supported by

Supported by the National Natural Science Foundation of China (51775191)

摘要

基于多尺度方法,采用 Ansys Fluent 模拟机油冷却器的压降及传热性能。为提高仿真精度,根据机油冷却器精细结构模型的仿真数据,提出并建立了任意坐标处散热翅片的热流密度方程。仿真条件分别为热侧速度 0. 001、0. 1、0. 2、0. 3m/s,冷侧速度0. 1、0. 2、0. 3、0. 4m/s。在此基础上,利用精细结构模型数据,计算得到动量源项方程及热流密度方程。在油冷器热侧质量流量分别为0. 04、0. 08、0. 12、0. 16kg/s,冷侧体积流量为 5 × 10-4 m3 /s 的条件下,对油冷器压降及传热性能进行模拟。结果表明:仿真数据与实验测量数据吻合度较高,相对误差在 10% 以内。多尺度仿真方法的精度满足一般工程应用需求。

本文引用格式

苏峰华 冯文营 袁熙 . 基于多尺度方法的机油冷却器数值模拟[J]. 华南理工大学学报(自然科学版), 2020 , 48(5) : 112 -117 . DOI: 10.12141/j.issn.1000-565X.190809

Abstract

The pressure drop and heat transfer performance of an oil cooler were simulated on Ansys Fluent with the multi-scale method. In order to improve the simulation accuracy,the heat flux equation of the fins at arbitrary coordinates was established according to the simulation data of the micro-scale model in the oil cooler. The simula-tion conditions were 0. 001、0. 1、0. 2 and 0. 3 m/s on the hot side,and 0. 1、0. 2、0. 3 and 0. 4 m/s on the cold side,respectively. On that basis,the momentum source term equation and the heat flux equation were calcu-lated with the micro-scale model data. The pressure drop and heat transfer performance of the oil cooler were simu-lated under the condition that the mass flow rate on the hot side was 0. 04、0. 08、0. 12、0. 16 kg/s,respectively and the volume flow rate on the cold side was 5 × 10-4 m3 /s. The research shows that the simulation data is in good agreement with the experimental data,and the relative error is within 10%. The accuracy of the multi-scale simulation method can meet the requirements of general engineering applications.
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