Flow Boiling Heat Transfer Coefficient and Frictional Pressure Drop Correlations for R32

doi:10.16183/j.cnki.jsjtu.2021.239

Abstract

Abstract:

The objective of this study is to establish generalized correlations for R32 flow boiling heat transfer and frictional pressure drop in channels with wide ranges of geometric and flow parameters. In this paper, two consolidated databases for heat transfer and frictional pressure drop were amassed from open literature, which involved R32 as working fluid. The heat transfer database consisted of 1 489 data points from 8 sources, with hydraulic diameters of 1—6.3 mm, while the pressure drop database included 496 data points from 8 sources, which covered hydraulic diameters of 0.643—6 mm. A new heat transfer coefficient correlation and a frictional pressure drop correlation were developed based on the prediction technique of dimensionless parameter analysis considering the governing force effect. Moreover, the existing correlations were also introduced to perform assessment. The validation results show that the existing correlations have poor results of mean absolute errors (MAE) and significantly high maximum absolute errors (MAX), but the new heat transfer coefficient correlation provides a superior prediction accuracy with a MAE of 14.59% and 90.85% of data within ±30% error bands. In addition, the new pressure drop correlation exhibits the best performance, which yields a MAE of 17.86%. The two new correlations have a broad application range and satisfactory prediction accuracy, which are applicable to analyze the heat transfer and pressure drop performance of heat exchangers with refrigerant R32.

Key words: R32, flow boiling, heat transfer coefficient, pressure drop, new correlation

CLC Number:

TK124
TB61

GU Bo, DU Zhongxing, ZENG Weijie, TIAN Zhen, ZHANG Zhiting. Flow Boiling Heat Transfer Coefficient and Frictional Pressure Drop Correlations for R32[J]. Journal of Shanghai Jiao Tong University, 2023, 57(1): 45-54.

Figures/Tables 7

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作者 (年份)	管材	几何参数		工况参数			n
作者 (年份)	管材	D_h/mm	T_sat/℃	G/(kg·m^-2·s^-1)	q/(kW·m^-2)	x	n
Li 等^[9](2013)	不锈钢	2	15	100~400	6~24	0.2~1	93
Wu 等 ^[13](2015)	不锈钢	2	15	100~400	10	0.1~0.98	18
Longo 等^[14](2016)	—	4	5~20	200~800	12~51	0.06~0.90	117
Matsuse 等^[15](2016)	铜	1	10	30~400	2~24	0.05~1	273
Jige 等^[16-17](2017,2019)	铜	1.0, 2.16, 3.48	15	50~600	5~40	0~1	702
He 等^[18](2018)	铜	4.3, 6.3	11	100~250	3~8	0~1	38
Lillo 等^[19](2019)	不锈钢	6	24.6~40.6	146~507	2.4~41.2	0.02~0.99	248
总计		1~6.3	5~40.6	30~800	2~51	0~1	1 489

作者(年份)	管材	几何参数			工况参数			n
作者(年份)	管材	L/m	D_h/mm	T_sat /℃	G/ (kg·m^-2·s^-1)	q/ (kW·m^-2)	x	n
Huang^[20] (2013)	不锈钢	0.45	2	10, 15, 20	100~400	10~40	0~0.9 平均干度	69
Wu 等^[13] (2015)	不锈钢	0.53	2	15	400	10	0~0.75	8
Longo 等^[14] (2016)	—	0.8	4	5, 10, 20	200~800	25	0.05~0.9 平均干度	116
Matsuse 等^[15] (2016)	铜	0.44	1	10	30~400	0	0.05~1 平均干度	50
Inoue等^[21] (2016)	—	0.55	3.5	15	100, 400	0	0.06~0.9 进口干度	27
Jige 等^[16] (2017)	铜	0.55	1.0, 2.16, 3.48	15	200~600	5~20	0~1 平均干度	123
Li等^[22] (2018)	铝	0.152 4	0.643	15, 20	100~200	0	0~0.95 平均干度	24
Lillo等^[19] (2019)	不锈钢	0.237 5	6	25, 30, 35.2, 40	152~300	0	0.03~1 平均干度	79
总计			0.643~6	5~40	30~800	0~40	0~1	496