Particle dispersion in a transitional axisymmetric jet - A numerical simulation

Uthuppan, J.; Aggarwal, Suresh K.; Grinstein, Fernando F.; Kailasanath, K.

doi:10.2514/3.12245

Cited by 46 publications

(8 citation statements)

References 21 publications

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“…(1) inertial (2) vortex and (3) centrifugal (Uthuppan & Aggarwal, 1994). The vortex mechanism is responsible for the particle dispersion with very low inertia, such as the particles dp = 4.3 μm, shown in Figure 24, that the particles exhibit dispersive behavior similar to the tracer particle behavior.…”

Section: Modeling a Problem With A Modified Geometrymentioning

confidence: 98%

Numerical simulation of the dynamics of particle motion with different sizes

Issakhov

Bulgakov

Zhandaulet

2018

Engineering Applications of Computational Fluid Mechanics

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In this paper, was presented the numerical simulation of air pollution by particles with different sizes from the Ekibastuz State district power plant-1 (Ekibastuz SDPP-1), which is located on the northern side of Zhyngyldy Lakeshore, the Republic of Kazakhstan in real scales using the three-dimensional mathematical model. It was found that the deterioration of the environment is due to the release of a large amount of SOx, NOx and the volatile particles of Suspended Particulate Matter and Respirable Suspended Particles matter (SPM and RSPM), which cause human and animal diseases. For the adequacy of the mathematical model, the test problem was solved. The experimental data were used to evaluate the applicability of the mathematical model and the numerical algorithm for the test problem. The obtained numerical simulation results are in good agreement with the numerical results of other authors and the experimental data. In addition, to select the optimal turbulent model, the obtained simulation results for different turbulent models were compared with experimental data. Moreover also the boundary conditions for turbulent models (k − ε, k − ω), boundary conditions for turbulent kinetic energy were chosen to match the experimental data.

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Section: Modeling a Problem With A Modified Geometrymentioning

confidence: 98%

Numerical simulation of the dynamics of particle motion with different sizes

Issakhov

Bulgakov

Zhandaulet

2018

Engineering Applications of Computational Fluid Mechanics

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“…From these results obtained, the dispersion patterns of particles at the intermediate Stokes numbers in the circular cylinder wake is found to be different from those in the plane mixing layers 19,25 and jets. 8,9 The mechanism depends mostly on the strong interactions between two alternative and successive shedding vortex structures with opposite sign.…”

Section: It Is Clear That Particles' Relative Velocity With Local Flo...mentioning

confidence: 99%

Mechanism of Particle Transport in a Fully Developed Wake Flow

Zhao

et al. 2012

Ind. Eng. Chem. Res.

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In this paper, the time-dependent Navier-Stokes equations were integrated in time using a mixed explicit-implicit operator splitting rules. The spatial discretization was processed using the spectral-element method. Nonreflecting conditions were employed at the outflow boundary. Particles were traced by the Lagrangian approach based on one-way coupling between the continuous and the disperse phases. The simulation results of the flow field agree well with experimental data. Particles (St = 4) are found to concentrate in the regions between adjacent vortex structures (RAVS) together with other particles dispersed outside of vortex outlining the boundaries of the large-scale vortex structures, which is independent of the flow Reynolds number. Due to U-velocity component difference, at the entrance of RAVS the flow does "compact" on particles causing particle concentration, and it increases with the flow Reynolds number and particle size. The mechanism of particle transport in the wake flow mostly depends on the strong interactions between two alternative and successive shedding vortex structures with opposite sign. Particle transport in the wake flow could be briefly described as follows: moving around vortices and going ahead with vortices.Natural Science Foundation of Fujian Province [2012J01235]; National Natural Science Foundation of China [51176172, 50806068

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“…This work results in an extension of the methods developed by Whit eld and Janus 1 for a perfect gas and their later extensions. 2 Several researchers have developed upwind, implicit, nite-rate chemistry algorithms for very general ow situations. References 3-5 are representativeof the currently available technology.A common thread among these solvers is the development and use of eigenvalues and eigenvectors of the inviscid uxes, which are necessary for the design of the numerical schemes.…”

Section: Nonsingular Eigenvectors Of the Flux Jacobian Matrix For Reamentioning

confidence: 99%

“…Here individual particle trajectoriesare calculated as they are carried by the gas phase in the system. [1][2][3][4] However, because of the high numerical cost of tracking large numbers of particles, these studies have necessarily been kept at relatively low seeding and mass fraction levels. To reach higher seeding levels, using virtual particle methods where each computational,or tracked, particle actually represents a group of particles of the same size has been necessary.…”

Section: Introductionmentioning

confidence: 99%