Simulation and mechanism analysis of enhanced anti-icing performance on superhydrophobic surfaces subject to temperature variation
文献类型: 外文期刊
作者: Liu, Chao 1 ; Fu, Jiajun 1 ; Zhao, Runhan 1 ; Wang, Huixin 3 ; Wang, Qinghua 1 ;
作者机构: 1.Southeast Univ, Sch Mech Engn, Nanjing 211189, Peoples R China
2.Jiangsu Key Lab Design & Mfg Precis Med Equipment, Nanjing 211189, Peoples R China
3.Jiangsu Acad Agr Sci, Inst Agr Facil & Equipment, Nanjing 210014, Peoples R China
4.Minist Agr & Rural Affairs, Key Lab Protected Agr Engn Middle & Lower Reaches, Nanjing 210014, Peoples R China
关键词: Anti-icing performance; Superhydrophobicity; Simulation model; Bouncing; Phase transformation
期刊名称:SURFACE & COATINGS TECHNOLOGY ( 影响因子:6.1; 五年影响因子:5.5 )
ISSN: 0257-8972
年卷期: 2025 年 511 卷
页码:
收录情况: SCI
摘要: The anti-icing performance of material surface at extremely low temperatures can be effectively enhanced by superhydrophobicity, while the mechanism and action process of this effect are difficult to be directly observed in the real environment. In this work, simulation models are established to show the movement and phase transformation process of water droplets on the surface of materials with different wettabilities and temperatures. The simulation results indicate that the spreading behavior of water droplets on the hydrophilic surface and the bouncing behavior on the superhydrophobic surface are significantly affected by surface temperature. Compared with the normal temperature surface, the supercooling surface can decrease the spreading range of water droplets hitting the material surface and induce stress concentration. The predicted freezing time of water droplet with a size of 20 mu L on a cold superhydrophobic surface with the CA of 150 degrees and the temperature of-10 degrees C is significantly amplified to 284 s. The error between the predicted value and the experimental value measured under the same conditions is only 12 %. The model makes up for the gap in the freezing simulation of water droplets on cold superhydrophobic surface and provides useful insights in terms of the anti-icing performance optimization for the reinforced material surface applied in aerospace, deep sea exploration and other fields.
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