Department of Mechanical and Industrial Engineering, Concordia University, Montreal, QC, Canada.
Langmuir. 2012 Jan 17;28(2):1290-303. doi: 10.1021/la203926q. Epub 2012 Jan 6.
Coalescence of a falling droplet with a stationary sessile droplet on a superhydrophobic surface is investigated by a combined experimental and numerical study. In the experiments, the droplet diameter, the impact velocity, and the distance between the impacting droplets were controlled. The evolution of surface shape during the coalescence of two droplets on the superhydrophobic surface is captured using high speed imaging and compared with numerical results. A two-phase volume of fluid (VOF) method is used to determine the dynamics of droplet coalescence, shape evaluation, and contact line movement. The spread length of two coalesced droplets along their original center is also predicted by the model and compared well with the experimental results. The effect of different parameters such as impact velocity, center to center distance, and droplet size on contact time and restitution coefficient are studied and compared to the experimental results. Finally, the wetting and the self-cleaning properties of superhydrophobic surfaces have been investigated. It has been found that impinging water drops with very small amount of kinetic impact energy were able to thoroughly clean these surfaces.
采用实验和数值相结合的方法研究了超疏水表面上液滴与固定液滴的合并过程。在实验中,控制了液滴直径、撞击速度和撞击液滴之间的距离。使用高速成像技术捕捉两个液滴在超疏水表面上合并过程中的表面形状演变,并将其与数值结果进行比较。采用双流体体积法(VOF)来确定液滴合并的动力学、形状评估和接触线运动。模型还预测了两个合并液滴沿其原始中心的扩展长度,并与实验结果吻合较好。研究了不同参数(如撞击速度、中心到中心的距离和液滴尺寸)对接触时间和恢复系数的影响,并与实验结果进行了比较。最后,研究了超疏水表面的润湿性和自清洁性能。结果表明,具有非常小的动能冲击能的撞击水能够彻底清洁这些表面。