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作 者:Mohammad Amin Moradkhani Seyyed Hossein Hosseini Mengjie Song
机构地区:[1]Department of Chemical Engineering,Ilam University,69315-516 Ilam,Iran [2]Department of Energy and Power Engineering,School of Mechanical Engineering,Beijing Institute of Technology,Beijing 100081,China
出 处:《Chinese Journal of Chemical Engineering》2023年第11期108-119,共12页中国化学工程学报(英文版)
基 金:funded by the National Foreign Expert Project(G2022178023L)。
摘 要:Environmentally friendly nature of CO_(2),associated with its safety and high efficiency,has made it a widely used working fluid in heat exchangers.Since CO_(2)has strange thermophysical features,specific models are required to estimate its two-phase characteristics,particularly frictional pressure drop(FPD).Herein,a widespread dataset,comprising 1195 experimental samples for two-phase FPD of CO_(2)was adopted from 10 sources to fulfill this requirement.The literature correlations failed to provide satisfactory precisions and exhibited the average absolute relative errors(AAREs)between 29.29% and 67.69% from the analyzed data.By inspiring the theoretical method of Lockhart and Martinelli,three intelligent FPD models were presented,among which the Gaussian process regression approach surpassed the others with AARE and R^(2)values of 5.48% and 98.80%,respectively in the test stage.A novel simple correlation was also derived based on the least square fitting method,which yielded opportune predictions with AARE of 19.76% for all data.The truthfulness of the newly proposed models was assessed through a variety of statistical and visual analyses,and the results affirmed their high reliability over a broad range of conditions,channel sizes and flow patterns.Furthermore,the novel models performed favorably in describing the physical attitudes corresponding to two-phase FPD of CO_(2).Eventually,the importance of operating factors in controlling the FPD was discussed through a sensitivity analysis.
关 键 词:CO_(2) Two-phase flow Frictional pressuredrop Intelligent approaches CORRELATION
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