The impact of droplets on a deep pool has applications in cleaning up oil spills, spray cooling, painting, inkjet printing, and forensic analysis, relying on the changes in properties such as viscosity, interfacial tension, and density. Despite the exhaustive research on different aspects of droplet impact, it is not clear how liquid properties can affect the instabilities leading to Rayleigh jet breakup and number of daughter drops formed after its pinch-off. In this article, through systematic experiments we investigate the droplet impact phenomena by varying viscosity and surface tension of liquids as well as impact speeds. Further, using numerical simulations, we show that Rayleigh-Plateau instability is influenced by these parameters, and capillary time scale is the appropriate scale to normalize the breakup time. Based on Ohnesorge number (Oh) and impact Weber number (We), a regime map for no breakup, Rayleigh jet breakup, and crown splash is suggested. Interestingly, crown splash is observed to occur at all Ohnesorge numbers; however, at high Oh, a large portion of kinetic energy is dissipated, and thus the Rayleigh jet is suppressed regardless of high impact velocity. The normalized required time for the Rayleigh jet to reach its peak varies linearly with the critical height of the jet.

Electrosprays operate in several modes depending on the flow rate and electric potential. This allows the deposition of droplets containing nanoparticles into discrete nanodot arrays to fabricate various electronic devices. In this study, seven different suspensions with varying properties were investigated. In the dripping mode, the normalized dropsize decreases linearly with electric capillary number, Ca _e , (ratio of electric to surface tension forces) up to Ca _e ≈ 1.0. The effect of viscous forces is found to be negligible in the dripping mode since the capillary number is small. For flow rates with low Reynolds number, the mode changes to microdripping mode, and then to a planar oscillating microdripping mode as Ca _e increases. The normalized dropsize remains nearly constant at 0.07 for Ca _e > 3.3. The microdripping mode which is important for depositing discrete array of nanodots is found to occur in the range, 2 ≤ Ca _e ≤ 2.5. The droplet frequency increases steadily from dripping to microdripping mode, but stays roughly constant in the oscillating microdripping mode. This work provides a physical basis by which the flow rate and the voltage can be chosen for any nanosuspension to precisely operate in the microdripping mode at a predetermined dropsize and droplet frequency.

Semiconductor and metal nanoparticles are known to possess excellent mechanical, electrical, and optical properties, but harnessing those novel properties for practical applications is impeded by the difficulty in depositing the nanoparticles into large two-dimensional thin films or three-dimensional structures. A new laser-assisted manufacturing process is developed for patterning and sintering nanoparticles to deposit semiconductor and conductor thin films. This technique has the ability to deposit various materials on rigid and flexible substrates such as paper and plastics for manufacturing flexible electronics.

Nanoscale patterns on rigid or flexible substrates are of considerable interest in modern nanophotonics and optoelectronics devices. Subwavelength structures are produced in this study by using a laser beam and microdroplets that carry nanoparticles to the deposition substrate. These droplets are generated from an aqueous suspension of nanoparticles by electrospray and dispensed through a conical hollow laser beam so that laser-droplet interactions occur immediately above the substrate surface. Each microdroplet serves the dual role as a nanoparticle carrier to the substrate and as a superlens for focusing the laser beam to a subwavelength diameter. This focused beam vaporizes the droplet and sinters the nanoparticles on the substrate. The deposition of subwavelength nanostructures and thin films on a silicon wafer are demonstrated in this paper. This process may be applied to produce novel nanophotonics and electronics devices involving a variety of subwavelength patterns including an ordered array of semiconductor nanoparticles.

The CCN51 cocoa bean variety is known for being highly resistant to diseases and temperature variation and for having a relatively low cultivation risk for the producers. In this work, a computational and experimental study is performed to analyze the mass and heat transfer within the bean when dried by forced convection. A proximal composition analysis is conducted on the bean testa and cotyledon, and the distinct thermophysical properties are determined as a function of temperature for an interval between 40 and 70 °C. A multidomain CFD simulation, coupling a conjugate heat transfer with a semiconjugate mass transfer model, is proposed and compared to the experimental results based on the bean temperature and moisture transport. The numerical simulation predicts the drying behavior well and yields average relative errors of 3.5 and 5.2% for the bean core temperature and the moisture content versus the drying time, respectively. The moisture diffusion is found to be the dominant mechanism in the drying process. Moreover, a diffusion approximation model and given kinetic constants present a good prediction of the bean’s drying behavior for constant temperature drying conditions between 40 and 70 °C.

Droplet interaction with liquid pools has been widely studied. The focus of these studies has primarily been on like-fluids, the droplet being miscible with the pool. Such miscible droplet–pool interactions have been extensively studied for their regimes of Rayleigh jet formation, crater formation, splashing, and coalescence. However, the case of immiscible droplet fluid has received considerably less attention from researchers. The immiscible case is relatively complex to understand owing to the involvement of three interfacial tensions. In the current study, we investigate the regimes of droplet–pool interaction for the case of immiscible droplet fluid having higher density and surface tension than pool fluid. Droplet properties are characterized through Weber number while Ohnesorge number is used to characterize pool fluid. Weber number is controlled through velocity of droplet and viscosity of pool is used to predict Ohnesorge number. Validating the numerical methods with experimental data, extensive numerical simulations are performed to gain insight into droplet–pool interaction. Current investigation reveals that for the case of immiscible fluids, regime formation is observed due to Rayleigh–Plateau instability as well as droplet fluid interacting with the pool fluid. This enables the pool fluid jet separation at high Ohnesorge numbers too, in contrast to miscible fluids case. The regimes of droplet–pool interaction for current case are described in detail and classified over wide range of Weber and Ohnesorge numbers.