Article ID Journal Published Year Pages File Type
789388 International Journal of Refrigeration 2014 15 Pages PDF
Abstract

•A prediction model for the heat transfer coefficient that considers the properties of the CO2–oil mixture was proposed.•The new semi-empirical correlation was in very good agreement with the previous experimental data.•The proposed correlation can describe the change tendency of the heat transfer coefficient of a CO2–oil mixture well.

A flow boiling heat transfer model for horizontal tubes is proposed for CO2 with entrained polyalkylene glycol (PAG) type lubricating oil in the pre-dryout region. A general power law-type model with a power number of 3 is used together with the average thermodynamic properties of the CO2–oil mixture. A convective enhancement factor (F) is recommended according to the relationship between the Lockhart–Martinelli parameter and the ratio αtp/αl, which was obtained based on previous experimental results for CO2 and oil. A new suppression factor (S) is introduced that comprises a suppression term for forced convection and oil concentration term for bubble generation. A comparison of six correlations showed that the proposed correlation can depict the influence of the mass and heat fluxes on both nucleate and convection boiling reasonably well.

Related Topics
Physical Sciences and Engineering Engineering Mechanical Engineering
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