收稿日期:２０２２Ｇ０３Ｇ２１修回日期:２０２２Ｇ０５Ｇ３０录用日期:２０２２Ｇ０６Ｇ０６基金项目:国家自然科学基金(５１９７６１１４)资助项目作者简介:张智铤(１９９８Ｇ),硕士生,从事R３２制冷系统传热流动性能研究．通信作者:谷波,教授,博士生导师,电话(Tel．):０２１Ｇ３４２０６２６０;EＧmail:gubo＠sjtu．edu．cn．文章编号:１００６Ｇ２４６７(２０２３)０８Ｇ１０２８Ｇ０９DOI:１０．１６１８３/j．cnki．jsjtu．２０２２．０７１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(上海交通大学机械与动力工程学院,上海２００２４０)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/PVEVG６８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/PVEVG６８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;滞油量预测中图分类号:TB６１＋１文献标志码:APredictionofOilRetentioninCompressorSuctionLineswithRefrigerant/OilMixtureZHANGZhiting,GUBo,ZENGWeijie,HUJinting,WUPengzhan(SchoolofMechanicalEngineering,ShanghaiJiaoTongUniversity,Shanghai２００２４０,China)Abstract:Atpresent,thereisnomethodforpredictingoilretentionapplicabletovariousworkingfluids．Oilretentioncharacteristicsincompressorsuctionlinesarestudiedandageneralmethodforpredictingoilretentionisestablished．Thedatabaseofoilretentioninsuctionlinesisestablishedaccordingtoexperimentalvaluesinthepublicliterature．Afteranalyzingtheinfluencingfactors,acorrelationofthevolumeratioofoilretentioninthedatabaseisfitted．Accordingtothecorrelationandthestateofworkingfluidattheinletofsuctionline,theamountofoilretentioncanbepredicted．Inaddition,oilretentionofR３２/PVEVG６８insuctionlinesistested．AcomparisonoftheexperimentalvaluesandthepredictionvaluesindicatethatfortheflowofR３２/PVEVG６８insuctionlines,...
