基于流型的R32/润滑油混合物在压缩机吸气管内的滞油量预测模型  

Modeling of Lubricant Retention in Suction Lines with R32/PVE Oil Mixture Based on Different Flow Patterns

作　　者：胡晋珽 谷波[1] 曾炜杰 张智铤 吴鹏展 Hu Jinting;Gu Bo;Zeng Weijie;Zhang Zhiting;Wu Pengzhan(School of Mechanical Engineering,Shanghai Jiao Tong University,Shanghai,200240,China)

机构地区：[1]上海交通大学机械与动力工程学院,上海200240

出　　处：《制冷学报》2023年第2期104-112,共9页Journal of Refrigeration

基　　金：国家自然科学基金(51976114)资助项目。

摘　　要：本文实验研究了R32/PVE 68混合物在过热度为12℃、饱和温度为7.5℃、名义油质量分数为0%~5%、制冷剂质流密度为90~230 kg/(m^(2)·s)下的滞油情况,采用拆除称重法测量4种不同倾角(水平、45°、60°、竖直)吸气管内的滞油量,使用高速相机获取混合物流型。结果表明:当质流密度为90~120 kg/(m^(2)·s)、流型为分层波纹流时,滞油量随质流密度的增加而增大,其余工况下滞油量均随质流密度的增加而减小;当含油率为1%时,质流密度在达到160 kg/(m^(2)·s)后,流型发生转变,由波纹层状流转变为波纹环状流,并逐渐成为完全发展的环状流。采用基于流型分析的偏心圆模型预测压缩机吸气管滞油量,结果表明87.83%的实验数据误差在±20%,平均绝对误差为9.35%。为进一步验证该模型适用范围,建立了关于滞油量的数据库,共291个数据点,平均绝对误差12.90%,最大绝对误差为65.77%,证明该模型可以较好的预测吸气管内滞油量。This paper presents an experimental study and a model for the oil retention and flow pattern of an R32/PVE 68 mixture in compressor suction lines.The test conditions involved a saturation temperature of 7.5℃and a superheat degree of 12℃.The refrigerant mass flux and nominal oil mass fraction(OMF no)were varied within the ranges of 90-230 kg/(m^(2)·s)and 0%-5%,respectively.The test samples were two smooth copper pipes with horizontal and vertical flow orientations with an inner diameter of 10.7 mm.A high-speed camera was used to record the flow pattern.The results showed that when the mass flux was from 90 to 120 kg/(m^(2)·s)and the flow pattern was a stratified wavy flow,the amount of oil retention decreased with an increase in mass flux;in other cases,the amount of oil retention increased with an increase in mass flux.When the oil mass fraction was 1%and the mass flux reached 160 kg/(m^(2)·s),the flow pattern changed to a wavy annular flow and gradually developed into an annular flow.The double-circle model based on the flow pattern was used to predict the oil retention in the suction line.The results showed a mean absolute deviation of 9.35%,and 87.83%of the data were within±20%error.To further verify the applicability of the model,291 data points were collected from five open literature,achieving a mean absolute deviation of 12.90%and a maximum absolute deviation of 65.77%,which proves that the model can accurately predict the oil retention in the suction line.

关 键 词：制冷剂 润滑油 滞油 吸气管 模型 

分 类 号：TB611[一般工业技术—制冷工程] TB64