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Effect of orthogonal channel structure on the heat transfer in pool boiling and its heat flux prediction model.

Authors :
Yu, Xinyu
Xu, Nian
Yu, Shuihua
Han, Yueyue
Chu, Huaqiang
Source :
International Journal of Thermal Sciences. May2023, Vol. 187, pN.PAG-N.PAG. 1p.
Publication Year :
2023

Abstract

Pool boiling has a heat transfer performance far exceeding that of traditional heat transfer methods, so it has broad application prospects. At present, the mainstream means to improve the boiling performance are mainly to change the heat transfer surface and to change the liquid working medium. Previously, a T-shaped microchannel structure has been designed, whose maximum heat flux was 338% of that of a smooth surface, and whose maximum boiling heat transfer coefficient was 184.7% of that of a smooth surface. The structure of this paper is further developed on the basis of this structure. It is found that the orthogonal channel structure can better improve the heat transfer effect. Specifically, within a certain range, the promotion effect of heat transfer is positively correlated with the increase of fin length. When the wall superheat is 12.3 K, the heat flux of the best orthogonal channel structure S4 is 358% of that of the smooth surface. The maximum heat transfer coefficient of S4 is 11.9 W/(cm2·K), which is 281.3% of that of the smooth surface. In addition, a prediction model is proposed for the structure of this paper, and its prediction error is within 25% under medium and high heat flux. [Display omitted] • An orthogonal T-shaped channel structure was developed, and its heat flux can reach up to 146.06 W/cm2. • It was found that such orthogonal channels can share the pressure of the bubbles in the channels under high heat flux. • A predictive model is proposed that predicts the heat flux within 25% of the error. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
12900729
Volume :
187
Database :
Academic Search Index
Journal :
International Journal of Thermal Sciences
Publication Type :
Academic Journal
Accession number :
161879339
Full Text :
https://doi.org/10.1016/j.ijthermalsci.2023.108193