汽泡活化核心密度预测模型分析  

Analysis of the prediction models of bubble active site density

作　　者：何雯 赵陈儒[1] 薄涵亮[1] HE Wen;ZHAO Chenru;BO Hanliang(Institute of Nuclear and New Energy Technology, Tsinghua University, Beijing 100084, China)

机构地区：[1]清华大学核能与新能源技术研究院,北京100084

出　　处：《哈尔滨工程大学学报》2021年第12期1837-1842,共6页Journal of Harbin Engineering University

基　　金：中核青年英才计划项目.

摘　　要：为提高活化核心密度预测以及沸腾换热计算的准确度,本文对活化核心密度在流动沸腾下呈现的随机性进行研究,发现该参数在流动沸腾下呈对数正态分布。通过实验数据,利用压力、接触角、壁面过热度等参数对活化核心密度的影响进行对比分析,根据池沸腾和流动沸腾对现有预测模型的准确度进行对比评价。研究表明:活化核心密度主要受压力、壁面过热度和接触角的影响,液体过冷度和雷诺数的影响基本可以忽略,对于池沸腾,Li模型预测准确度最高,对于流动沸腾,受活化核心密度随机分布的影响,现有模型应用在流动沸腾下误差均较大。To improve the prediction accuracy of active site density and boiling heat transfer,the accuracy of various probability density functions in reflecting randomness is compared,and the active site density is preliminarily determined to have a lognormal distribution under flow boiling conditions.The effects of different parameters,such as pressure,contact angle,and wall superheat on active site density,are compared and analyzed based on a large quantity of experimental data.Moreover,the accuracy of existing prediction models is compared and evaluated from the perspectives of pool boiling and flow boiling.The results show that active site density is mainly influenced by pressure,wall superheat and contact angle,while the effects of liquid subcooling and Reynold number can be ignored.Besides,among all models,Li′s model has the highest accuracy when applied to pool boiling.Meanwhile,the errors of these models are large because of the random distribution of active site density under the condition of flow boiling which still needs further research.

关 键 词：活化核心密度 池沸腾 流动沸腾 预测模型 准确度 随机分布 概率密度函数 对数正态分布 

分 类 号：TB126[理学—工程力学]