Research of Air-Side Characteristics and Correlations Development for Two Different Types of Smooth Wave Fin-and-tube Heat Exchangers

Gu Bo; Peng Wenhao; Zeng Weijie

doi:10.3969/j.issn.0253-4339.2020.03.025

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Research of Air-Side Characteristics and Correlations Development for Two Different Types of Smooth Wave Fin-and-tube Heat Exchangers

更新时间：2024-07-18

- Research of Air-Side Characteristics and Correlations Development for Two Different Types of Smooth Wave Fin-and-tube Heat Exchangers
- Journal of Refrigeration Vol. 41, Issue 3, (2020)
- 作者机构：
  
  上海交通大学制冷与低温工程研究所
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0253-4339.2020.03.025
  CLC：
- Published：01 January 2020
- 稿件说明：
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Gu Bo, Peng Wenhao, Zeng Weijie. Research of Air-Side Characteristics and Correlations Development for Two Different Types of Smooth Wave Fin-and-tube Heat Exchangers[J]. Journal of refrigeration, 2020, 41(3).
DOI：

Gu Bo, Peng Wenhao, Zeng Weijie. Research of Air-Side Characteristics and Correlations Development for Two Different Types of Smooth Wave Fin-and-tube Heat Exchangers[J]. Journal of refrigeration, 2020, 41(3). DOI： 10.3969/j.issn.0253-4339.2020.03.025.

摘要

对两种不同类型的光滑波纹翅片管换热器进行了空气侧换热及阻力性能的实验研究，分别以Colburn换热因子和Fanning摩擦因子表征空气侧换热及阻力特性，对比分析了翅片形式对光滑波纹翅片类型的空气侧性能影响，当雷诺数大于5 500时，两种换热器换热因子j相差6.4%以上，摩擦因子f相差7.8%；验证了3种不同类型的换热实验关联式对光滑波纹翅片类型的预测情况，结果表明现有关联式预测偏差较大；运用多元线形回归方法拟合得到新的换热及阻力实验关联式，平均相对误差分别为1.59%和6.75%，误差分布均匀，预测精度明显高于现有关联式。

Abstract

The air-side heat transfer and friction characteristics of two fin-and-tube heat exchangers having different types of waffle configuration was experimentally explored. The Colburn (j factor) and Fanning friction factors (f) were applied to describe airside heat transfer and friction characteristics. The effects of fin type on the air-side performance of smooth wave fin-and-tube heat exchangers were analyzed. When the Reynolds number exceeded 5500

the j factor of the two heat exchangers differed by more than 6.4%

and the f factor differed by 7.8%. The predictions of 34 existing experimental correlations were verified and the results demonstrated that they exhibited a large deviation. A multiple linear regression technique was used to develop new heat transfer and resistance correlations. The mean deviations of the new correlations were 1.59% and 6.75% respectively. The distribution of deviation was uniform

and prediction accuracy was significantly higher than that of the existing correlations.

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