板翅式换热器锯齿型翅片参数的遗传算法优化研究

杨辉著 1; 文键 1; 童欣 1; 李科 1; 厉彦忠 1; 王斯民 2

doi:10.7652/xjtuxb201512015

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板翅式换热器锯齿型翅片参数的遗传算法优化研究

更新时间：2025-07-09

- 板翅式换热器锯齿型翅片参数的遗传算法优化研究
- Optimization Design for Offset Fin in Plate Heat Exchanger with Genetic Algorithm
- 西安交通大学学报 2015年49卷第12期页码：90-96
- 作者机构：
  
  西安交通大学能源与动力工程学院,西安,710049
- 作者简介：
- 基金信息：
  
  : 2015-04-27。作者简介: 杨辉著(1988—),男,博士生;王斯民(通信作者),男,副教授。基金项目: 国家自然科学基金资助项目(51106119,81100707);中央高校基本科研业务费专项资金资助项目
- DOI：10.7652/xjtuxb201512015
  中图分类号： TK124
- 网络首发：2015-12-10，
  
  纸质出版：2015
- 稿件说明：
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杨辉著 1, 文键 1, 童欣 1, 等. 板翅式换热器锯齿型翅片参数的遗传算法优化研究[J]. 西安交通大学学报, 2015,49(12):90-96.

Optimization Design for Offset Fin in Plate Heat Exchanger with Genetic Algorithm[J]. 2015, 49(12): 90-96.
杨辉著 1, 文键 1, 童欣 1, 等. 板翅式换热器锯齿型翅片参数的遗传算法优化研究[J]. 西安交通大学学报, 2015,49(12):90-96. DOI： 10.7652/xjtuxb201512015.

Optimization Design for Offset Fin in Plate Heat Exchanger with Genetic Algorithm[J]. 2015, 49(12): 90-96. DOI： 10.7652/xjtuxb201512015.

摘要

针对目前锯齿型板翅式换热器未能同时优化多参数

或者大多优化研究存在对经验关联式依赖的问题

提出了利用Kriging响应面来近似目标函数与设计变量之间的关系、应用遗传算法对锯齿型板翅式换热器翅片结构参数的优化方法。在维持翅片通道雷诺数为800时

把换热器的最大j因子、最小f因子和最大F

TEF

因子作为3个单目标函数

对翅片的翅片高度h、翅片间距s、翅片厚度t和翅片节距l进行了优化研究。研究结果表明:翅片高度h与翅片间距s对换热器综合性能F

TEF

因子呈正增长

而翅片厚度t和翅片节距l呈负增长; 在翅片高度为9.5 mm、翅片间距为2.2 mm、翅片厚度为0.1 mm和翅片节距为3 mm时

换热器性能最佳; 结合Kriging响应面的遗传算法克服了传统优化方法对经验关联式的依赖。该研究结果可以指导锯齿型板翅式换热器的优化设计。

Abstract

In the current optimization for plate fin heat exchanger with offset fins

simultaneous multi-parameter optimization is rarely considered

or researches usually depend on empirical relations. A strategy by genetic algorithm(GA)combined with Kriging response surface is proposed

where the Kriging response surface provides an approximate relationship between the objective function and design variables. The fin height h

fin space s

fin thickness t and interrupted length j of offset fins are taken as four optimization parameters

while maximum j factor

minimum f factor and maximum F

TEF

factor as three single objective functions at Reynolds number of 800. The results show that the effects of the fin height and fin spa

ce on the overall performance F

TEF

factor are positive and the effects of the fin thickness and the interrupted length are negative; the heat exchanger performance reaches the optimum as fin height h=9.5 mm

fin space s=2.1 mm

fin thickness t=0.1 mm and interrupted length l=3 mm; the genetic algorithm combined with Kriging response surface eliminates the dependence on empirical relations.

关键词

Keywords

references

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