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Frictional pressure drop during flow boiling in micro-fin tubes: A new general correlation

机译:微鳍管流动过程中摩擦压降:新的一般相关性

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Due to the wide commercial application of micro-fin tube and eco-friendly refrigerants, a more general frictional pressure drop correlation is required for a better prediction, and this study is aimed at compared existing correlations and provide guides for the furthermore improvement. Experimental data points for frictional pressure gradients during flow boiling of different working fluids in horizontal helical micro-fin tubes were extracted from reported experimental investigations in the literature to evaluate numerous existing frictional pressure drop correlations and specify the applicability of each correlation to meet the urgent demand of extensive application of eco-friendly refrigerants. The database consists of 1014 data points covering eleven refrigerants (R1233zd(Z), R410A, R1234ze(E), R410A, R22, R32, R1234ze(Z), R22, R134a, R245fa and R1234yf included), and the covered operating conditions are as follows: mass velocity 94-888 kg m~(-2)s~(-1), vapor quality 0.04-0.99, heat flux 3.9-85.2 kW m~(-2), and equivalent diameter 2.12-11.84 mm. Eight general frictional pressure drop models, including Cavallini et al., Kuo and Wang, Wongsangam et al., modified Friedel, Diani et al., Choi et al., Goto et al., and Rollman and Spindler correlation, were compared against the collected data points. The results indicated that none of these correlations could provide a satisfactory prediction for a general operating condition, though the Diani et al. correlation exhibits the highest predictive accuracy with 73.0% of the data points in an error band of ±30%. A new empirical correlation was developed by introducing the Churchill model for the effect of fins and optimizing the relationship between vapor quality and frictional pressure gradients.
机译:由于微鳍管和环保制冷剂的广泛商业应用,更好的预测需要更一般的摩擦压力下降相关性,并且该研究旨在比较现有的相关性并为此外改进提供指导。从报道的文献中提取了水平螺旋微翅片管中不同工作流体的摩擦压力梯度的实验数据点,从文献中提取了在文献中的实验研究中,以评估了许多现有的摩擦压力下降相关性,并指定每个相关性的适用性,以满足紧迫的需求环保制冷剂广泛应用。该数据库由覆盖1114个数据点组成11个制冷剂(R1233ZD(Z),R410A,R1234,R1234ze(Z),R1234(Z),R22,R134A,R245FA和R1234YF,包括覆盖的操作条件如下:质量速度94-888 kg m〜(2)s〜(-1),蒸气质量0.04-0.99,热通量3.9-85.2 kW m〜(-2),等效直径2.12-11.84 mm。八个一般摩擦压力下降模型,包括Cavallini等人。,Kuo和Wang,Wongsangam等,修改过的Friedel,Diani等,Choi等,和Rollman和Spindler相关性,与之相比收集的数据点。结果表明,这些相关性都不能为一般运行条件提供令人满意的预测,尽管Diani等人。相关性表现出最高的预测精度,在±30%的错误带中的73.0%的数据点。通过引入粪便效果的丘吉尔模型和优化蒸汽质量和摩擦压力梯度之间的关系,开发了新的经验相关性。

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