Flow of power-law fluids in simplex atomizers

Mandal, A.; Jog, Milind A.; Xue, J.; Ibrahim, Ashraf

doi:10.1016/j.ijheatfluidflow.2008.05.006

Cited by 26 publications

(10 citation statements)

References 14 publications

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“…Comparison of the present theoretical results with those ofMandal et al (2008) for different nozzle geometries and Reynolds numbersTable 3. Comparison between the results of the present theoretical and numerical methods.…”

mentioning

confidence: 85%

“…The experiments were mainly performed in low ACCEPTED MANUSCRIPT A C C E P T E D M A N U S C R I P T 6 flow velocities, since the working pressure is limited by the low strength of the transparent nozzle's material, normally made of Plexiglas. Additionally, using Phase Doppler Particle Analyzer (PDPA), droplet size and velocity distribution have been measured (e.g., Belhadef 2011, Mandal et al 2008.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Capturing the interface through the numerical solution is associated with resolution requirements and usage of considerable computational resources. Depending on the method of capturing the air core location, different algorithms are employed: The ArbitraryLagrangian-Eulerian (Jeng et al 1998(Jeng et al , 2004, volume of fluid (Dash 2001, Ibrahim & Jog 2008, and level set (Nouri & Kebriaee 2012) methods. Some researchers ignored the effects of turbulence in the moderate Re numbers (Mandal et al 2008) while others emphasized the turbulence modeling roles (Nouri & Kebriaee 2012).…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…Depending on the method of capturing the air core location, different algorithms are employed: The ArbitraryLagrangian-Eulerian (Jeng et al 1998(Jeng et al , 2004, volume of fluid (Dash 2001, Ibrahim & Jog 2008, and level set (Nouri & Kebriaee 2012) methods. Some researchers ignored the effects of turbulence in the moderate Re numbers (Mandal et al 2008) while others emphasized the turbulence modeling roles (Nouri & Kebriaee 2012). In general, providing the correct initialboundary conditions for spray modeling is the main outcome of the numerical solution of the nozzle internal flow.…”

Section: Accepted Manuscriptmentioning

confidence: 99%

“…The main design parameters of a simplex swirl nozzle are air core radius, discharge coefficient, and spray angle (Mandal et al 2008, Som 2012. Generally, for a given pressure drop, we prefer a high discharge coefficient and a thin liquid sheet which produces a large spray angle.…”

Section: Calculation Of Air Core Radius Discharge Coefficient and Smentioning

confidence: 99%

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Liquid flow in a simplex swirl nozzle

Amini

2016

International Journal of Multiphase Flow

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mentioning

confidence: 85%

Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Accepted Manuscriptmentioning

confidence: 99%

Section: Calculation Of Air Core Radius Discharge Coefficient and Smentioning

confidence: 99%

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Liquid flow in a simplex swirl nozzle

Amini

2016

International Journal of Multiphase Flow

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Comparison of PIV Experiment and Numerical Simulation on the Velocity Distribution of Intermediate Pressure Jets with Different Nozzle Parameters

Jiang

Xiang

et al. 2017

Irrigation and Drainage

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The need for a reliable research method of the external flow field has increased with the more widespread use of intermediate pressure jets. The experimental method and numerical simulation method were investigated, using the particle image velocimetry (PIV) technique and the volume of fluid-level set (VOF-level set) method. Both methods performed well on nozzles with different geometric parameters at distances close to the nozzle and further away from it. With reference to the different measurement windows, the velocities in vertical profiles along the x-axis, the change of maximum jet velocities and the break-up length ranges of jet flows were obtained. The two methods authenticate each other, and the results indicate that the maximum velocities of jets decrease and the distribution widths of velocity field also increase with increase in distance away from the nozzles. The PIV and simulation gave similar results at different distances from the nozzle, and the experimental values were slightly higher than the simulation values due to the pressure fluctuation with an error of less than 8%. The break-up length of jets increases with pressures in situations where the experimental values were lower than the simulation values due to the effect of air. The experimental data from PIV agreed well with the simulation results. Therefore, the accuracy and reliability of the PIV experiment and the CFD (Computational Fluid Dynamics) result simulation were both validated.

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Swirl, T-Jet and Vibrating-Mesh Atomizers

Eslamian

2010

Handbook of Atomization and Sprays

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Flow of power-law fluids in simplex atomizers

Cited by 26 publications

References 14 publications

Liquid flow in a simplex swirl nozzle

Liquid flow in a simplex swirl nozzle

Comparison of PIV Experiment and Numerical Simulation on the Velocity Distribution of Intermediate Pressure Jets with Different Nozzle Parameters

Swirl, T-Jet and Vibrating-Mesh Atomizers

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