文献类型：期刊文献

中文题名：微肋管内的换热强化的实验和理论分析

英文题名：Experimental and theoretical analysis of heat transfer enhancement inside micro-fin tube

作者：申道明[1,2];桂超[1];刘亚萍[1];夏锦红[1];薛松涛[2,3]

第一作者：申道明

机构：[1]新乡学院土木工程与建筑学院,新乡453000;[2]同济大学结构工程与防灾研究所,上海200092;[3]日本东北工业大学,日本仙台9828577

第一机构：新乡学院土木工程与建筑学院

年份：2019

卷号：0

期号：3

起止页码：1-7

中文期刊名：低温工程

外文期刊名：Cryogenics

收录：CSTPCD;;北大核心:【北大核心2017】；CSCD:【CSCD_E2019_2020】；

基金：国家自然科学基金项目(No.4187725)

语种：中文

中文关键词：R1234yf;微肋管;传热系数;换热强化倍率;关联式

外文关键词：R1234yf;micro-fin tube;heat transfer coefficient;heat transfer enhancement factor;correlation

摘要：在1根光管、2根微肋管内运行了R1234yf两相流动冷凝换热实验,工况设定中冷凝温度为40℃、43℃、45℃,质量流量为500-900 kg/(m^2·s),换热管进出口处制冷剂干度分别为0.8-0.9、0.2-0.3。实验结果显示:传热系数随冷凝温度的降低、质量流量的增加而增大,且微肋管内传热系数均大于光管内传热系数,其中8°和15°肋片螺旋角微肋管换热强化倍率分别为2.51-2.89、3.11-3.57,均大于其面积增加比;使用关联式对管内传热系数预测时:Cavallini et al关联式对光管内传热系数预测精度最高,其预测误差范围在±8%以内,预测平均误差为0.56%;Cavallini et al关联式和Koyama et al关联式对微肋管内传热系数预测精度较高,其预测误差范围在±25%以内,两者的平均预测误差小于6%。
The two-phase flow condensation heat transfer experiment of R1234 yf was performed inside one smooth tube and two micro-fin tubes in the paper, experimental condition was set as condensation temperatures of 40 ℃, 43 ℃ and 45 ℃, mass fluxes of 500-900 kg/(m^2·s), vapor qualities at the inlet and outlet of heat transfer tube of 0.8-0.9 and 0.2-0.3. Experimental results show: the heat transfer coefficient increases with decreasing condensation temperature and increasing mass flux, the heat transfer coefficient inside the micro-fin tube is larger than that of smooth tube, the heat transfer enhancement factor of micro-fin tube with fin helical angle of 8° and 15° is 2.51-2.89 and 3.11-3.57, respectively, which are greater than the area increase ratio. Correlation was used to predict the heat transfer coefficient inside the tube and it is found: Cavallini et al correlation has the highest accuracy in predicting the heat transfer coefficient inside the smooth tube with error range within ±8% and average prediction error of 0.56%;correlations of Cavallini et al and Koyama et al have relatively high in predicting the heat transfer coefficient inside the micro-fin tube with error range within ±25% and average prediction error of less than 6%.