| 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/(m2?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/(m2?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/(m2?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。 |
| 关键词: 制冷剂 润滑油 滞油 吸气管 模型 |
| DOI： |
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| 基金项目:国家自然科学基金(51976114) |
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| Modeling of Lubricant Retention in Suction Lines with R32/PVE Oil Mixture Based on Different Flow Patterns |
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Hu Jinting, Gu Bo, Zeng Weijie, Zhang Zhiting, Wu Pengzhan
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| (School of Mechanical Engineering, Shanghai Jiao Tong University) |
| Abstract: |
| 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 (OMFno) were varied within the ranges of 90–230 kg/(m2·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/(m2·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/(m2·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. |
| Key words: refrigerant lubricant oil oil retention suction line modeling |
