Numerical studies of droplet-turbulence interactions

Shang, H. M.; Kim, Y.M.; Chen, C.P.; Wang, T.S.

doi:10.1016/0096-3003(94)90166-x

Cited by 2 publications

(2 citation statements)

References 11 publications

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“…For some applications, accounting for these collisions may be important in reproducing observed mean droplet sizes downstream of primary atomization. 25 The droplet collision algorithm of O'Rourke is available in FLUENT. This algorithm has a cost proportional to the square of the number of computational droplets, or ''parcels.''…”

Section: Droplet Collision and Breakup Modelmentioning

confidence: 99%

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Computational and experimental studies of electrohydrodynamic atomization for pharmaceutical particle fabrication

2012

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Electrohydrodynamic atomization (EHDA) is a promising method for the fabrication of micro‐ and nanosized particles with narrow‐size distribution and better morphologies in comparison to conventional methods of particle fabrication. A computational model was developed in this study to simulate the fluid and particle dynamics in an EHDA chamber, and thereby providing a means of predicting particle collection efficiencies at various operating conditions. Experiments were also conducted using a new design of the EHDA chamber. It was found that nitrogen flow rate, solution flow rate and voltage difference between the nozzle and ring can significantly affect the particle collection efficiency of the EHDA process. Electric field and electric potential profiles in the chamber were significantly affected by the combined voltages of the nozzle and ring. In general, a good qualitative agreement in particle collection efficiencies was obtained from experiments and simulations. The computational model developed in this study provided a means of understanding the various processes involved in micro‐ and nano‐sized particle fabrication using the EHDA methodology. © 2012 American Institute of Chemical Engineers AIChE J, 2012

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Section: Droplet Collision and Breakup Modelmentioning

confidence: 99%

“…Using the probability information, the collision impact parameters were stochastically calculated. 25 The droplet collision algorithm of O'Rourke is available in FLUENT. When two parcels of droplets collide, the algorithm determines the type of collision and whether coalescence or bouncing occurs.…”

Section: Droplet Collision and Breakup Modelmentioning

confidence: 99%

Computational and experimental studies of electrohydrodynamic atomization for pharmaceutical particle fabrication

2012

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Simulation and Analysis of High-Speed Droplet Spray Dynamics

Shi

Kleinstreuer

2006

Journal of Fluids Engineering

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An experimentally validated computer simulation model has been developed for the analysis of gas-phase and droplet characteristics of isothermal sprays generated by pressure jet atomizers. Employing a coupled Euler-Lagrange approach for the gas-droplet flow, secondary droplet breakup (based on the ETAB model), was assumed to be dominant and the k-ε model was selected for simulating the gas flow. Specifically, transient spray formation in terms of turbulent gas flow as well as droplet velocities and size distributions are provided for different back pressures. Clearly, two-way coupling of the phases is important because of the impact of significant gas entrainment, droplet momentum transfer, and turbulent dispersion. Several spray phenomena are discussed in light of low back-pressure (1atm) and high back-pressure (30atm) environments. At low back-pressure, sprays have long thin geometric features and penetrate faster and deeper than at high back-pressures because of the measurable change in air density and hence drag force. Away from the nozzle exit under relatively high back pressures, there is no distinct droplet size difference between peripheral and core regions because of the high droplet Weber numbers, leading to very small droplets which move randomly. In contrast to transient spray developments, under steady-state conditions droplets are subject to smaller drag forces due to the fully-developed gas entrainment velocities which reduce gas-liquid slip. Turbulent dispersion influences droplet trajectories significantly because of the impact of random gas-phase fluctuations.

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Numerical studies of droplet-turbulence interactions

Cited by 2 publications

References 11 publications

Computational and experimental studies of electrohydrodynamic atomization for pharmaceutical particle fabrication

Computational and experimental studies of electrohydrodynamic atomization for pharmaceutical particle fabrication

Simulation and Analysis of High-Speed Droplet Spray Dynamics

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