The breakup process of near-field jets in airless spraying directly determines the initial droplet size distribution and macroscopic spray pattern, making it a critical factor af-fecting coating quality. This study establishes a numerical model for near-field atomi-zation based on computational fluid dynamics, coupling the VOF interface capturing method with the SST k-ω turbulence model. The model’s accuracy is validated through mass flow rate experiments and high-speed imaging. By incorporating instability theory, expressions for the characteristic lengths of Kelvin-Helmholtz (KH) and Rayleigh-Taylor (RT) instabilities—including viscous corrections—are derived, revealing the competitive mechanisms among surface tension, viscous forces, and inertial forces during interface destabilization. Results show that the axial velocity along the center-line exhibits a segmented behavior characterized by “sharp acceleration—gradual decay—high-frequency oscillation,” while volume fraction and velocity display strong spatial phase coupling. Both core length and breakup length significantly decrease with increasing spray pressure but increase linearly with viscosity, leading to empirical formulas for characteristic lengths (with fitting errors < 15%). Power-law scaling analysis further indicates that the KH stage is dominated by surface peeling, with characteristic length sensitive to pressure, viscosity, and surface tension; whereas the RT stage is primarily governed by bulk breakup, where the characteristic length shows relative independence from pressure and is mainly controlled by viscosity and surface tension. The ratio of the two characteristic lengths ranges approximately between 4 and 6, providing theoretical guidance for optimizing airless spraying process parameters.
Depending on the counter-flow jet (CFJ) injection characteristics, the flow field can be classified into the short penetration mode (SPM) and the long penetration mode. Although SPM is generally considered stable, the pressure drag coefficient exhibits significant fluctuations exceeding 10%, which cannot be explained b...
H. Yoon, In-Seuck Jeung· The Physics of Fluids· 0 citations
The supersonic Coandă jet is a pivotal active flow control technique whose performance is closely tied to the evolution of shear layer mixing. Spanwise-distributed protrusions on the nozzle lip have been proven to significantly modulate mixing behavior, yet the influence mechanism of protrusion parameters (i.e., spacin...
Qing Wang, Yu Zhao, Feng Qu· The Physics of Fluids· 0 citations
Primary breakup in twin-fluid internal mixing atomisers is governed by the intermittent passage of gas–liquid structures through the discharge orifice; yet, the instability mechanisms at the orifice remain insufficiently characterised at the relevant temporal and spatial scales. This study presents a high-speed imaging...
P. Novosad, Jiri Hajek, M. Malý et al.· MATEC Web of Conferences· 0 citations
Spray cooling is a key secondary cooling technique for continuous casting. The water penetration ratio, a critical parameter for calculating the heat transfer coefficient between sprayed water and slab surfaces, is governed by nozzle water pressure, air pressure, and spray height. This study focuses on fan-shaped air–w...
He-Nan Cui, Xin He, Hai Chang et al.· The Physics of Fluids· 0 citations
Localized gas-jet impingement produces droplet–deformation pathways that differ fundamentally from classical aerodynamic breakup under approximately uniform crossflow. Experiments and axisymmetric volume-of-fluid simulations are used to investigate millimetric water droplets exposed to gas jets whose diameters are smal...
N. Ashgriz, M. Medghalchi, A. Amighi· The Physics of Fluids· 0 citations
This study develops an enhanced multiscale hybrid algorithm, VOF-LPT-EVAP (Volume of Fluid–Lagrangian Particle Tracking–Evaporation), for simulating liquid jet atomization and evaporation in crossflow under realistic gas turbine conditions. Current multi-scale hybrid modeling efforts primarily focus on momentum couplin...
Yi-Xin Wang, Zi-Ting Zhao, Jian-Feng Zou et al.· The Physics of Fluids· 0 citations
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