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超疏水表面峰谷特性对液滴冲击动力学行为的作用机制研究

MECHANISMS OF PEAK-VALLEY CHARACTERISTICS ON SUPERHYDROPHOBIC SURFACES INFLUENCING DROPLET IMPACT DYNAMICS

  • 摘要: 超疏水表面的微观形貌显著影响液滴碰撞动力学行为. 然而, 现有研究多局限于表面粗糙度幅值这一因素, 尚未揭示固体表面峰与谷的空间分布特征对液滴撞壁行为的具体作用. 本文通过实验与数值仿真相结合的方法, 研究了具有相同粗糙度但不同峰谷特征的超疏水表面对液滴撞击动力学行为的作用机制. 采用皮秒激光加工技术制备了微柱阵列(正偏态, Ssk > 0)与微坑阵列(负偏态, Ssk < 0)两类表面, 并结合高速摄像系统与VOF(流体体积法, Volume of Fluid)多相流模型, 分析了液滴铺展、回缩、飞溅及反弹行为. 结果表明: 在相同粗糙度条件下, 两种表面的液滴飞溅倾向呈现出截然相反的粗糙度依赖性. 具体而言, 在低粗糙度时, 凹坑表面更易诱发液滴飞溅; 而在高粗糙度时, 微柱表面的飞溅倾向则超过凹坑表面. 该现象归因于流场不稳定性与气垫缓冲效应的竞争. 此外, 最大铺展直径主要受撞击能量控制, 两种阵列差异较小; 但反弹高度差异显著, 低韦伯数时凹坑阵列略优, 高韦伯数时微柱阵列占优. 铺展速度分析进一步表明, 凹坑阵列在铺展阶段减速更快, 微柱阵列在回缩阶段波动更剧烈. 本研究为理解超疏水表面峰谷特征对液滴动力学行为的调控机制提供了理论依据, 并为功能表面的定向设计提供了指导.

     

    Abstract: The microtopography of superhydrophobic surfaces significantly influences droplet impact dynamics. However, current research has predominantly focused on the amplitude of surface roughness, leaving the specific effects of the spatial distribution of surface peaks and valleys on droplet-wall interactions largely unexplored. In this study, a combined experimental and numerical approach is employed to investigate the underlying mechanisms by which superhydrophobic surfaces—sharing identical roughness amplitudes but differing in peak-valley features—modulate droplet impact behavior. Two distinct types of surfaces, namely micro-pillar arrays (positive skewness, Ssk > 0) and micro-cavity arrays (negative skewness, Ssk < 0), were fabricated using picosecond laser processing. By integrating a high-speed imaging system with a Volume of Fluid (VOF) multiphase flow model, the sequential behaviors of droplet spreading, retraction, splashing, and bouncing were comprehensively analyzed. The results indicate that at equivalent roughness levels, the splashing tendencies of droplets on these two surface types exhibit fundamentally opposing roughness dependencies. Specifically, at lower roughness values, the micro-cavity surfaces are more prone to inducing droplet splashing; conversely, at higher roughness levels, the splashing propensity of the micro-pillar surfaces surpasses that of the micro-cavities. This phenomenon is attributed to the underlying competition between flow field instabilities and the cushioning effect of trapped air pockets. Furthermore, while the maximum spreading diameter is primarily dictated by the initial impact energy—yielding only marginal differences between the two array types—the rebound height demonstrates significant discrepancies. The micro-cavity arrays yield slightly higher rebounds at low Weber numbers, whereas the micro-pillar arrays dominate at high Weber numbers. Kinematic analysis further reveals that droplets on micro-cavity arrays undergo a more rapid deceleration during the spreading phase, while those on micro-pillar arrays experience more severe velocity fluctuations during retraction. This research provides a solid theoretical foundation for understanding how peak-valley characteristics modulate droplet dynamics on superhydrophobic surfaces, offering practical guidelines for the targeted design of functional interfaces.

     

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