Experimental investigation of a turbulent jet carrying heavy particles of a disperse phase

Girshovich, T. A.; Kartushinskii, A. I.; Laats, M. K.; Leonov, V. A.; Mul'gi, A. S.

doi:10.1007/bf01089574

Cited by 8 publications

(13 citation statements)

References 3 publications

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“…The particulate phase mean velocity was taken equal to that of the fluid at the jet exit and its mean density profile was uniform. All of these conditions are in agreement with the experimental data of Girshovich et al (1982) and Moderass et al (1984). It is well known that the presence of the dispersed phase causes the jet to be more coherent.…”

Section: Resultssupporting

confidence: 92%

“…The main purpose of this paper will be to remove the assumption of equal mean velocities for the two phases and to use the model to compute the round jet in its initial region. These calculations will be compared with the data of Modarrass et al (1984) and Girshovich et al (1982), as well as with the calculations obtained using the model of Chen and Wood (1984b).…”

Section: Introductionmentioning

confidence: 90%

“…This disequilibrium becomes more pronounced as the particle size or initial particle loading increases (cf. -Girshovich et al, 1982). The main purpose of this paper will be to remove the assumption of equal mean velocities for the two phases and to use the model to compute the round jet in its initial region.…”

Section: Introductionmentioning

confidence: 99%

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Turbulence closure modeling of the dilute gas‐particle axisymmetric jet

Chen

Wood

1986

AIChE Journal

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Section: Resultssupporting

confidence: 92%

Section: Introductionmentioning

confidence: 90%

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Turbulence closure modeling of the dilute gas‐particle axisymmetric jet

Chen

Wood

1986

AIChE Journal

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“…Particle interaction with turbulent moles leads to randomization of particle motion, and the particle location at a given time is determined only by the probability of its residence in one of the possible states at each next time. A large number of test particles have to be calculated to obtain a statistically reliable averaged pattern of particle motion.Application of the stochastic variant of the discrete trajectory approach for calculating nonisothermal jet systems [3,4] offers an explanation for some experimentally observed anomalous phenomena [5,6], such as formation of particle "filaments" in the axial region of the jet and entrainment of particles outside the jet in the case of their streamwise injection at the nozzle exit. …”

mentioning

confidence: 99%

“…Application of the stochastic variant of the discrete trajectory approach for calculating nonisothermal jet systems [3,4] offers an explanation for some experimentally observed anomalous phenomena [5,6], such as formation of particle "filaments" in the axial region of the jet and entrainment of particles outside the jet in the case of their streamwise injection at the nozzle exit. Models of different degrees of complexity have been developed for calculating gas-particle jets within the framework of the discrete trajectory approach [7][8][9][10].…”

mentioning

confidence: 99%

Motion and heat and mass transfer in a disperse admixture in turbulent nonisothermal jets of a gas and a low-temperature plasma

Волков

2008

J Appl Mech Tech Phys

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The motion and heat and mass transfer of particles of a disperse admixture in nonisothermal jets of a gas and a low-temperature plasma are simulated with allowance for the migration mechanism of particle motion actuated by the turbophoresis force and the influence of turbulent fluctuations of the jet flow velocity on heat and mass transfer of the particle. The temperature distribution inside the particle at each time step is found by solving the equation of unsteady heat conduction. The laws of scattering of the admixture and the laws of melting and evaporation of an individual particle are studied, depending on the injection velocity and on the method of particle insertion into the jet flow. The calculated results are compared with data obtained with ignored influence of turbulent fluctuations on the motion and heat and mass transfer of the disperse phase.Introduction. Plasma spraying, being an effective method for recovering and hardening of surfaces of elements of various machines and mechanisms, allows coatings to be formed from various materials and ensures a wide range of physical, chemical, and application properties.The motion and heating of particles in the jet, which exert a significant effect on coating formation, have to be studied in detail. The influence of the target on the jet flow is substantial at a distance of several jet diameters from the surface, which involves only minor changes in particle diameters because of their inertia.Rarefied gas-particle flows with no allowance for interaction of particles and their effect on the gas flow are often modeled by the discrete trajectory method of test particles [1]. Depending on the method used to take into account the effect of carrier flow turbulence on particle motion, the deterministic and stochastic versions of the discrete trajectory approach are distinguished [2].In the deterministic approach, the particle location at the initial time completely determines its further evolution. Particle interaction with turbulent moles is ignored, which is valid only for sufficiently inertial particles. For flows with curved streamlines, which involve melting and combustion of particles, the model yields high errors in determining the characteristics of the two-phase flow [1,2].In the stochastic approach, the influence of turbulent fluctuations is taken into account by adding random fluctuations of the carrier flow velocity to the equation of motion of the test particle [2][3][4]. Particle interaction with turbulent moles leads to randomization of particle motion, and the particle location at a given time is determined only by the probability of its residence in one of the possible states at each next time. A large number of test particles have to be calculated to obtain a statistically reliable averaged pattern of particle motion.Application of the stochastic variant of the discrete trajectory approach for calculating nonisothermal jet systems [3,4] offers an explanation for some experimentally observed anomalous phenomena [5,6], such as formation of particle ...

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A turbulence closure model for dilute gas‐particle flows

1985

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A second order closure scheme is developed for the numerical prediction of isothermal, non‐reacting, mono‐dispersed, dilute gas‐particle turbulent shear flows. The model is based on the two‐equation (κ‐ϵ) turbulence model developed for calculating the analogous gas‐phase flows. Contrary to passive additives in a single phase flow, the particles will affect the turbulence structure of the continuous phase. Thus, the κ‐ϵ model has been modified to account for the presence of the dispersed particles. In particular, the particles increase the dissipation rate because of the relative velocity fluctuations between the two phases. New proposals for these added effects based on particle size and loading are added to these equations. The resulting model is used to compute the axisymmetric jet in its developing region. The calculated jet spreading rate, centre‐line velocity decay and entrainment rate are all in excellent agreement with published experimental data. Calculated turbulence quantities such as the kinetic energy and mean Reynolds shear stress are greatly reduced from their “clean jet” levels by the presence of the particles in good agreement with the available experimental data.

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Experimental investigation of a turbulent jet carrying heavy particles of a disperse phase

Cited by 8 publications

References 3 publications

Turbulence closure modeling of the dilute gas‐particle axisymmetric jet

Turbulence closure modeling of the dilute gas‐particle axisymmetric jet

Motion and heat and mass transfer in a disperse admixture in turbulent nonisothermal jets of a gas and a low-temperature plasma

A turbulence closure model for dilute gas‐particle flows

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