上海交通大学学报 ›› 2023, Vol. 57 ›› Issue (8): 1028-1036.doi: 10.16183/j.cnki.jsjtu.2022.071

所属专题: 《上海交通大学学报》2023年“机械与动力工程”专题

• 机械与动力工程 • 上一篇    下一篇

含油制冷剂在吸气管内的滞油量预测研究

张智铤, 谷波(), 曾炜杰, 胡晋珽, 吴鹏展   

  1. 上海交通大学 机械与动力工程学院, 上海 200240
  • 收稿日期:2022-03-21 修回日期:2022-05-30 接受日期:2022-06-06 出版日期:2023-08-28 发布日期:2023-08-31
  • 通讯作者: 谷 波,教授,博士生导师,电话(Tel.):021-34206260;E-mail:gubo@sjtu.edu.cn.
  • 作者简介:张智铤(1998-),硕士生,从事R32制冷系统传热流动性能研究.
  • 基金资助:
    国家自然科学基金(51976114)

Prediction of Oil Retention in Compressor Suction Lines with Refrigerant/Oil Mixture

ZHANG Zhiting, GU Bo(), ZENG Weijie, HU Jinting, WU Pengzhan   

  1. School of Mechanical Engineering, Shanghai Jiao Tong University, Shanghai 200240, China
  • Received:2022-03-21 Revised:2022-05-30 Accepted:2022-06-06 Online:2023-08-28 Published:2023-08-31

摘要:

目前没有适用于各类工质的滞油量预测方法.对压缩机吸气管内的滞油特性展开研究,建立了通用的滞油量预测方法.根据公开文献建立了吸气管滞油量的实验值数据库,在分析了各个影响因素之后,对数据库中的滞油体积比进行了拟合.根据拟合所得关联式以及吸气管进口工质的状态可以对滞油量进行预测.此外,以R32/PVE VG68为工质进行吸气管滞油量测试实验.比较实验结果与关联式计算结果,可得:对于R32/PVE VG68在吸气管内的流动,该计算方法能准确地呈现滞油量随各因素的变化趋势,且能较精确地预测各工况下的滞油量.

关键词: 含油制冷剂, 压缩机吸气管, 滞油量预测

Abstract:

At present, there is no method for predicting oil retention applicable to various working fluids. Oil retention characteristics in compressor suction lines are studied and a general method for predicting oil retention is established. The database of oil retention in suction lines is established according to experimental values in the public literature. After analyzing the influencing factors, a correlation of the volume ratio of oil retention in the database is fitted. According to the correlation and the state of working fluid at the inlet of suction line, the amount of oil retention can be predicted. In addition, oil retention of R32/PVE VG68 in suction lines is tested. A comparison of the experimental values and the prediction values indicate that for the flow of R32/PVE VG68 in suction lines, the calculation method can accurately show the variation trend of oil retention with various factors, and can accurately predict the amount of oil retention under different conditions.

Key words: refrigerant/oil mixture, compressor suction lines, prediction of oil retention

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