Modelling of plasma–particle two-phase flow using statistical techniques

Gawne, D. T.; Liu, B.; Bao, Y.; Zhang, T.

doi:10.1016/j.surfcoat.2004.02.032

Cited by 19 publications

(11 citation statements)

References 9 publications

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“…To accurately depict the physical characteristic of injected droplets, a statistical injection model has been created to predict the velocity, size, and position of droplets in the section of injector. 29 The spray injector is set as a point in space with specified droplet mass flow rate, droplet distributions, sizes, velocities, temperatures, and breakup parameters. The diameter of droplets in the parcel is randomly chosen from a specific probability density distribution…”

Section: Spray Modelsmentioning

confidence: 99%

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Eulerian–Lagrangian method for liquid jet atomization in supersonic crossflow using statistical injection model

Fan

Wang

Zhao

et al. 2018

Advances in Mechanical Engineering

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An integrated Eulerian-Lagrangian method has been proposed to simulate liquid jet in supersonic flow. The carrier fluid surrounding the liquid droplets is described by multicomponent Navier-Stokes equations based on stationary (Eulerian) Cartesian grid, and the Lagrangian-discrete droplet method is employed to represent the behavior of atomized droplets in this work. A total of three classic breakup models, Taylor analogy breakup model, Reitz wave model, and Kelvin-Helmholtz/Rayleigh-Taylor hybrid model, are discussed under supersonic conditions, and model predictions are compared to experimental data through multiple perspectives quantitatively. More accurate predictions of liquid penetration, as well as droplet size distribution, can be achieved for specific conditions with Kelvin-Helmholtz/Rayleigh-Taylor hybrid model comparing to other breakup models. Additionally, a statistical injection model has been introduced to depict droplet dispersion in the near-nozzle region. The probability density function is utilized to predict the size and position of the injected droplet, and the four commonly used probability density functions, uniform, chi-squared, Nukiyama-Tanasawa, and Rosin-Rammler, are analyzed. The influence of statistical representation of injection condition is discussed. The simulation results indicate that the random components in the velocity and droplet size of the injected droplets have a significant impact on the structure of the liquid jet in high-speed flow.

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Section: Spray Modelsmentioning

confidence: 99%

“…where g is standard gravity and rp is the pressure gradient of the gas in the computational cell in which parcel d is located. The turbulence effect on the spray droplets is modeled by adding to a fluctuating velocity u# to the gas velocity u as follows 28,29 u…”

Section: Spray Modelsmentioning

confidence: 99%

Eulerian–Lagrangian method for liquid jet atomization in supersonic crossflow using statistical injection model

Fan

Wang

Zhao

et al. 2018

Advances in Mechanical Engineering

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“…During PS, the interaction between the gas flow and particles, the particles' velocity and temperature are obviously influenced by the PDR [17,18]. At high PFR, the heat content in the plasma gas becomes insufficient for the melting of the powder particles.…”

Section: Microstructure and Porositymentioning

confidence: 99%

Porosity, mechanical properties, residual stresses of supersonic plasma-sprayed Ni-based alloy coatings prepared at different powder feed rates

Zhang

Xu²,

et al. 2008

Applied Surface Science

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“…Numerical simulations on plasma spraying have been a topic of interest over the course of many years. Since the 1980s, the simulations have been extended from a single particle to multiple particles, to two and three dimensions in a single gas and in gas mixtures [25][26][27][28][29][30][31][32][33][34][35][36][37][38][39][40][41][42][43]. The effect of a time-fluctuating plasma jet on the particle injection has been studied by Meillot [42].…”

Section: Introductionmentioning

confidence: 99%

Effect of a Spatially Fluctuating Heating of Particles in a Plasma Spray Process

Zhu

Baeva

Testrich

et al. 2022

Plasma Chem Plasma Process

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The work is concerned with the effect of a spatially fluctuating heating of Al2O3 particles with diameters of 5–120 μm during a plasma spray process. A plasma jet is generated in a mixture of Ar (40 NLPM) and H2 (14 NLPM) and in pure Ar at an electric current of 600 A. The tracing of the injected particles in the plume region of the plasma jets is considered in the framework of a three-dimensional model taking into account a turbulent fluid flow. It is shown that the heat source for the injected particles exhibits a well pronounced spatially fluctuating structure due to the enhancement of the thermal conductivity resulting from dissociation and ionization of the molecular gas in the temperature range of 2500–4000 K and 13,000–14,000 K, respectively. During their travel towards the substrate, the particles are therefore repeatedly heated in the gas mixture in contrast to the case of pure argon. Particles injected in the gas mixture reach the substrate with a higher average temperature and velocity.

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Modelling of plasma–particle two-phase flow using statistical techniques

Cited by 19 publications

References 9 publications

Eulerian–Lagrangian method for liquid jet atomization in supersonic crossflow using statistical injection model

Eulerian–Lagrangian method for liquid jet atomization in supersonic crossflow using statistical injection model

Porosity, mechanical properties, residual stresses of supersonic plasma-sprayed Ni-based alloy coatings prepared at different powder feed rates

Effect of a Spatially Fluctuating Heating of Particles in a Plasma Spray Process

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