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微通道平行流冷凝器两相流传热和压降的修正方法
刘启媛,吕鸿斌,蔡博伟,施骏业,陈江平
0
(上海交通大学制冷及低温工程研究所;上海高效冷却系统工程技术研究中心)
摘要:
本文通过建立以R134a为制冷剂的微通道平行流冷凝器的分布参数模型,使用交复检验非线性法对微通道冷凝器两相区的传热和压降关联式进行修正,并与无修正的仿真模拟结果、传统简单多项式拟合修正法的结果进行了比较。结果表明,运用交复检验非线性法修正的效果要优于不修正及传统简单多项式拟合法,使用前者修正后可将换热量误差减少64.5%,均方误差控制在3%以内;制冷剂侧压降误差减少82.05%,均方误差控制在10%以内,为其换热量和制冷剂侧压降的修正提供了一种预测精度更高的思路和方法。
关键词:  微通道平行流冷凝器  两相流  传热关联式  修正
DOI:
投稿时间:2019-03-11  修订日期:2019-09-12  
基金项目:国家自然科学基金(51776119)资助项目。
Correction Method of Two-phase Flow Heat Transfer and Pressure Drop in Micro-channel Parallel Flow Condenser
Liu Qiyuan,Lü Hongbin,Cai Bowei,Shi Junye,Chen Jiangping
(Institute of Refrigeration and Cryogenics, Shanghai Jiao Tong University;Shanghai High Efficient Cooling System Research Center)
Abstract:
Two categories of correction method for two-phase flow condensation heat transfer and pressure drop were compared for a distributed parameter model of a microchannel condenser with R134a as the refrigerant. The Cross-repeated-testing nonlinear correction method was demonstrated to be better than the conventional simple polynomial fitting correction. Using the former correction, the error of the estimation of heat transfer can be reduced by 64.5% and the mean square error was less than 3%. Similarly, the error of refrigerant side pressure drop decreased by 82.05% and the mean square error was controlled within 10%. Furthermore, this method not only proved the correctness and validity of the simulation model of a microchannel parallel-flow condenser, but also identified a way to accurate prediction of key parameters during heat transfer, including heat flux and pressure drop.
Key words:  micro channel parallel flow condenser  two-phase flow  heat transfer correlation  correction

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