Predictive Model for Ice Formation on Superhydrophobic Surfaces
Predictive Model for Ice Formation on Superhydrophobic Surfaces
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DOI：
10.1021/la200816f
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发表时间：
2011-12-06
期刊：
影响因子：
3.9
通讯作者：
Krupenkin, Tom
中科院分区：
文献类型：
--
作者：
Bahadur, Vaibhav;Mishchenko, Lidiya;Krupenkin, Tom
积冰的预防和控制在航空、建筑施工和能量转换装置中具有重要的应用。一个活跃的研究领域涉及使用超疏水表面来防止冰的形成。目前的工作开发了一个基于物理的建模框架，预测冰的形成冷却超疏水表面的过冷水滴的影响。这种建模方法通过开发描述液滴冲击动力学、传热和非均质冰成核的子模型来分析影响超疏水表面上冰形成的多种现象。然后将这些模型集成在一起，以实现对冻结条件下液滴影响后冰形成的全面理解。该模型的准确性通过其对实验结果的成功预测得到了验证，这些实验结果表明，超疏水表面可以完全防止水滴在低至-20至-25摄氏度的表面温度下冻结。该模型可用于研究表面形态，表面化学，流体和热性能对动态冰形成的影响，并确定关键参数，实现憎冰表面。本工作的框架是第一个详细的建模工具，用于设计和分析各种防冰/减冰策略的表面。
The prevention and control of ice accumulation has important applications in aviation, building construction, and energy conversion devices. One area of active research concerns the use of superhydrophobic surfaces for preventing ice formation. The present work develops a physics-based modeling framework to predict ice formation on cooled superhydrophobic surfaces resulting from the impact of supercooled water droplets. This modeling approach analyzes the multiple phenomena influencing ice formation on superhydrophobic surfaces through the development of submodels describing droplet impact dynamics, heat transfer, and heterogeneous ice nucleation. These models are then integrated together to achieve a comprehensive understanding of ice formation upon impact of liquid droplets at freezing conditions. The accuracy of this model is validated by its successful prediction of the experimental findings that demonstrate that superhydrophobic surfaces can fully prevent the freezing of impacting water droplets down to surface temperatures of as low as -20 to -25 degrees C. The model can be used to study the influence of surface morphology, surface chemistry, and fluid and thermal properties on dynamic ice formation and identify parameters critical to achieving icephobic surfaces. The framework of the present work is the first detailed modeling tool developed for the design and analysis of surfaces for various ice prevention/reduction strategies.