检索规则说明:AND代表“并且”;OR代表“或者”;NOT代表“不包含”;(注意必须大写,运算符两边需空一格)
检 索 范 例 :范例一: (K=图书馆学 OR K=情报学) AND A=范并思 范例二:J=计算机应用与软件 AND (U=C++ OR U=Basic) NOT M=Visual
作 者:张苏韩 陶乐仁[1,2] 黄理浩 刘德[1,2] 金程 ZHANG Suhan;TAO Leren;HUANG Lihao;LIU De;JIN Cheng(School of Energy and Power Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China;Shanghai Key Laboratory of Multiphase Flow and Heat Transfer in Power Engineering,Shanghai 200093,China)
机构地区:[1]上海理工大学能源与动力工程学院,上海200093 [2]上海市动力工程多相流动与传热重点实验室,上海200093
出 处:《化学工程》2024年第8期43-48,共6页Chemical Engineering(China)
基 金:上海市动力工程多相流动与传热重点实验室资助项目(2019KJFZ201)。
摘 要:为研究R513A在水平管内的流动沸腾换热特性,在质流密度为100—200 kg/(m^(2)·s)、饱和温度为5—10℃、热流密度为0—56 kW/m^(2)和干度为0—1的工况范围内,分析质流密度、饱和温度和出口干度(热流密度)对换热系数的影响。结果表明:流动沸腾换热系数随出口干度的增加出现先增大后减小的趋势,管壁液膜在气体的冲刷下,环状流阶段出现“环状-干涸流”,局部干涸的出现使流动沸腾换热系数降低。质流密度越大,流动沸腾换热系数越高,受气体的冲刷作用,干涸的临界干度随质流密度的增加而减小,但在外径为9.52 mm的螺纹管中,临界干度随质流密度增加而增大。与4种经验模型预测进行对比,在干涸发生前,Gungor-Winterton模型的预测准确度最高,平均绝对误差为13.92%;在干涸发生后,Jung模型的预测精度最高,平均绝对误差为2.56%。In order to study the flow boiling heat transfer characteristics of R513A in horizontal tube,the effects of mass flux,saturation temperature and vapor quality(heat flux)on heat transfer coefficient were analyzed,in the working conditions range of mass flux of 100-200 kg/(m^(2)·s),saturation temperature of 5-10℃,heat flux of 0-56 kW/m^(2)and vapor quality of 0-1.The results show that the flow boiling heat transfer coefficient increases and then decreases with the increase of the vapor quality.When the liquid film on the tube wall is flushed by the vapor,"ring-drying flow"is occurred in the stage of annular flow,the emergence of the local drying causes the flow boiling heat transfer coefficient to decrease.When the mass flux and the flow boiling heat transfer coefficient become higher,the critical dryness of the dryout decreases.This is mainly due to the scouring effect of the gas.However,the critical dryness increases with the increase of the mass flux in the microfin tube with an external diameter of 9.52 mm.Comparing the prediction results between four empirical models,the Gungor-Winterton model has the highest prediction accuracy with a mean absolute error of 13.92%before the onset of drying,and the Jung model has the highest prediction accuracy with a mean absolute error of 2.56%after the onset of drying.
分 类 号:TK124[动力工程及工程热物理—工程热物理]
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在载入数据...
正在链接到云南高校图书馆文献保障联盟下载...
云南高校图书馆联盟文献共享服务平台 版权所有©
您的IP:216.73.216.249