Predictive Modeling for Microchannel Flow Boiling Heat Transfer under the Dual Effect of Gravity and Surface Modification

Author:

Wu Haoxian1,Zhou Shengnan1ORCID,Wang Dongwei2,Yang Yunbo1,Liu Linglin34,Mao Huijie34,Shu Bifen1

Affiliation:

1. School of Physics, Sun Yat-sen University, Guangzhou 510006, China

2. China Shuifa Singyes Energy Holdings Limited, Zhuhai 519000, China

3. Shuifa Energy Engineering Co., Ltd., Zhuhai 519000, China

4. Shuifa Singyes Energy (Zhuhai) Co., Ltd., Zhuhai 519000, China

Abstract

This paper investigates the heat transfer performance of flow boiling in microchannels under the dual effect of gravity and surface modification through both experimental studies and mechanistic analysis. Utilizing a test bench with microchannels featuring surfaces of varying wettability levels and adjustable flow directions, multiple experiments on R134-a flow boiling heat transfer under the effects of gravity and surface modification were conducted, resulting in 1220 sets of experimental data. The mass flux ranged from 735 kg/m2s to 1271 kg/m2s, and the heating heat flux density ranged from 9 × 103 W/m2 to 46 × 103 W/m2. The experimental results revealed the differences in the influence of different gravity and surface modification conditions on heat transfer performance. It was found that the heat transfer performance of super-hydrophilic surfaces in horizontal flow is optimal and more stable heat transfer performance is observed when gravity is aligned with the flow direction. And the impact of gravity and surface modification on heat transfer has been explained through mechanistic analysis. Therefore, two new dimensionless numbers, Fa and Conew, were introduced to characterize the dual effects of gravity and surface modification on heat transfer. A new heat transfer model was developed based on these effects, and the prediction error of the heat transfer coefficient was reduced by 12–15% compared to existing models, significantly improving the prediction accuracy and expanding its application scope. The applicability and accuracy of the new model were also validated with other experimental data.

Funder

Natural Science Foundation of Guangdong Province of China

Publisher

MDPI AG

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