Experimental study on the effect of wall roughness on heat transfer characteristics of supercritical carbon dioxide in vertical tubes
Experimental study on the effect of wall roughness on heat transfer characteristics of supercritical carbon dioxide in vertical tubes
复制标题
壁面粗糙度对超临界二氧化碳立管传热特性影响的实验研究
DOI:
10.1016/j.ijheatmasstransfer.2022.123258
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发表时间:
2022
影响因子:
5.2
通讯作者:
Wen-Long Cheng
中科院分区:
文献类型:
--
作者:
Jian Chen;Shuang-Gen Yang;Rui Zhao;Wen-Long Cheng
• The effect of wall roughness on S-CO 2 heat transfer was studied experimentally. • Rough walls can alleviate heat transfer deterioration and enhance heat transfer. • The effect of operation parameters on the heat transfer of S-CO 2 was discussed. • A correlation was proposed based on experimental data, including roughness effects. The heat transfer characteristics of supercritical carbon dioxide(S-CO 2 ) are vital for S-CO 2 power cycles. Previous studies primarily focused on the heat transfer of S-CO 2 in smooth or ribbed tubes. Rough walls can affect the heat transfer in turbulent flows. Whereas roughness effects on S-CO 2 heat transfer have rarely been studied. The heat transfer characteristics of S-CO 2 in tubes ( d =4.57 mm,16207≤ Re ≤91735) with various roughness (1.5 μm∼40 μm) are investigated experimentally in this study. The results reveal that rough wall helps alleviate heat transfer deterioration, which is embodied in: the critical heat load( q / G ) for heat transfer deterioration increases from 0.11 kJ/kg to 0.17 kJ/kg as roughness increases. Heat transfer deteriorates in all tubes under high q / G , the temperature peak and deterioration length drop from 106.9 °C to 73.7 °C and 0.75 m to 0.25 m as roughness increases. No heat transfer deterioration in various tubes under low q / G , the heat transfer coefficient practically triples with increasing roughness. The effect of operation parameters on heat transfer performance of S-CO 2 in various tubes is similar. A heat transfer correlation for rough tubes is proposed based on 5460 experimental data, which catches 90% of experimental data within ±20% error.
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DOI:
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发表时间:
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影响因子:
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DOI:
10.1115/gt2015-43940
发表时间:
2015-06
期刊:
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影响因子:
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通讯作者:
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