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NUCLEATE POOL BOILING OF R-123 ON PORED SURFACES
Journal of Enhanced Heat Transfer ( IF 1.5 ) Pub Date : 2020-01-01 , DOI: 10.1615/jenhheattransf.2020035147
Sadaf Mehdi , Nae-Hyun Kim

The role of pore geometry (pore diameter dp and pore pitch Pp) on pore/subtunnel surfaces was investigated using the refrigerant R-123, and the results are compared with those of R-134a. Nine samples had 0.1 ≤ dp ≤ 0.3 mm and 0.75 ≤ Pp ≤ 3.0 mm. The trend of heat transfer coefficients was approximately the same as that of R-134a. It increased as the pore size increased and pore pitch decreased. The heat transfer coefficients of R-123 were lower than those of R-134a, which may be attributed to the superior thermo-physical properties (vapor density, latent heat of vaporization) of R-134a, although the bubble dynamic parameters (bubble departure diameter, frequency) were favorable to R-123. Comparison of the data with existing values revealed poor prediction, and a new model was proposed. The new model predicted most (92% of the R-123 and 76% of R-134a) of the data were within ± 40%.

中文翻译:

R-123在多孔表面上的核沸腾沸腾

使用制冷剂R-123研究了孔几何形状(孔径d p和孔间距P p)在孔/子通道表面上的作用,并将结果与​​R-134a进行了比较。九个样品具有0.1≤ d p ≤0.3mm并且0.75≤ P p≤3.0毫米 传热系数的趋势与R-134a大致相同。随着孔尺寸的增加和孔距的减小,它增加。R-123的传热系数低于R-134a的传热系数,这可能归因于R-134a的优异的热物理性质(蒸气密度,汽化潜热),尽管气泡动力学参数(气泡偏离)直径,频率)对R-123有利。数据与现有值的比较显示出较差的预测,并提出了一个新模型。新模型预测最多的数据(R-123的92%和R-134a的76%)在±40%之内。
更新日期:2020-01-01
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