(2, 51) Although qualitatively powerful, side and top view imaging are not capable of obtaining the initial droplet radii and jumping velocity, respectively. (21-39) To characterize the jumping process, past experiments have utilized side view, (40-44) top view, (45-50) or simultaneous orthogonal two-camera imaging. (1-8) Droplet jumping on superhydrophobic surfaces has received significant attention due to its ability to fundamentally advance state-of-the-art technologies and enhance the performance of a variety of applications such as thermal diodes, (9) anti-icing, (10-13) self-cleaning, (8, 14-16) vapor chambers, (17) energy harvesting, (18-20) and condensation heat transfer. The speed of the droplet departure scales with, where σ, ρ, and R are the surface tension, density, and the radii of the coalescing droplets prior to jumping, respectively. When two or more water droplets coalesce on a suitably designed superhydrophobic surface, the resulting droplet can jump away from the surface due to inertial–capillary energy conversion. The outcomes of this work both elucidate key fundamental aspects governing droplet jumping and provide a powerful imaging platform for the study of dynamic droplet processes that result in out-of-plane motion such as sliding, coalescence, or impact. Rather, angular deviation arises due to in-plane motion postcoalescence governed by droplet pinning.
Furthermore, we were able to resolve the full 3D trajectory of multiple jumping events, to show that, unlike previously theorized, the departure angle during droplet jumping is not a function of droplet mismatch or number of droplets coalescing prior to jumping. We benchmarked the FPSI technique and studied the effects of droplet mismatch, multidroplet coalescence, and multihop coalescence on droplet jumping speed. We used FPSI to study the jumping process on superhydrophobic surfaces having a wide range of structure length scales (10 nm < l < 1 μm) and droplet radii (3 μm < R < 160 μm). Here we develop a single-camera technique capable of providing three-dimensional (3D) information through the use of focal plane manipulation, termed “focal plane shift imaging” (FPSI). To study droplet jumping, researchers typically use a two-camera setup to observe the out-of-plane droplet motion, with limited success due to the inability to resolve the depth dimension using two orthogonal cameras. For example, coalescence-induced droplet jumping on superhydrophobic surfaces has recently received much attention for its potential to enhance heat transfer, anti-icing, and self-cleaning performance by passively shedding microscale water droplets.
Droplets are particularly of interest due to their large surface-to-volume ratios and hence enhanced transport properties.
Droplet–surface interactions are common to a plethora of natural and industrial processes due to their ability to rapidly exchange energy, mass, and momentum.