Analysis on heat transfer enhancement mechanism of helical blade rotor

ZHANG Zhen; YANG Weimin; GUAN Changfeng; DING Yumei; YAN Hua

doi:10.3969/j.issn.0438-1157.2013.11.007

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Analysis on heat transfer enhancement mechanism of helical blade rotor

更新时间：2025-12-10

- Analysis on heat transfer enhancement mechanism of helical blade rotor
- CIESC Journal Issue 11, Pages: 3927-3932(2013)
- 作者机构：
  
  1. 北京化工大学机电工程学院,北京,100029
  2. 北京化工大学有机无机复合材料国家重点实验室,北京,100029
- 作者简介：
- 基金信息：
- DOI：10.3969/j.issn.0438-1157.2013.11.007
  CLC： K172
- Online First：05 November 2013，
  
  Published：05 November 2013
- 稿件说明：
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ZHANG Zhen, YANG Weimin, GUAN Changfeng, et al. Analysis on heat transfer enhancement mechanism of helical blade rotor[J]. CIESC Journal, 2013, (11): 3927-3932.
DOI：

ZHANG Zhen, YANG Weimin, GUAN Changfeng, et al. Analysis on heat transfer enhancement mechanism of helical blade rotor[J]. CIESC Journal, 2013, (11): 3927-3932. DOI： 10.3969/j.issn.0438-1157.2013.11.007.

摘要

以螺旋叶片转子为研究对象

对转子的强化换热机理进行理论分析

提出螺旋叶片转子3种强化传热机理

包括截面收缩效应强化、螺旋流动效应强化以及二次流效应强化。采用理论推导的方法

建立湍流区内Nusselt数预测关联式以及压力降预测关联式

从而预测转子几何参数等对转子强化传热特性及阻力特性的影响。同时

将关联式预测结果与对应的强化传热实验结果进行对比

对比结果表明:推导得出的Nusselt数预测关联式计算值与实验得到的Nusselt数之间的最大偏差为7.4%

阻力系数的预测关联式计算值与其实验值之间的最大偏差为10.1%。

Abstract

For helical blade rotors

the heat transfer enhancement mechanism was theoretically analyzed. Some enhancement mechanisms involve the strengthening effects of cross section contraction

spiral flow and secondary flow.Based on the empirical equations for the plain tube and theoretical derivation

the prediction correlations for Nusselt number and pressure drop of the tube with helical blade rotors were established in the turbulent region in order to predict the influence of geometric parameters on heat transfer enhancement and resistance characteristics of rotors

including rotor lead

rotor diameter and sectional dimension.The comparison between experimental results and predicted results shows that the maximum deviations of the Nusselt number and friction factor are 7.4% and 10.1%

respectively.

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