Numerical and experimental investigation of the morphology development of expansion clouds by a powder jet flow

Tang, Hao; Anjorin, Vao; Morgan, Amy J.; Wrobel, L.C.; Barton, I. E.; Fan, Zizhong

doi:10.1016/j.firesaf.2004.06.005

Cited by 3 publications

(3 citation statements)

References 30 publications

(32 reference statements)

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“…In most CFD studies of indoor air particle flows (Murakami et al, 1992, Chen et al, 1992, Shimada et al, 1996, Holmberg & Li, 1998) the drift-flux multiphase model, which is in the framework of the Eulerian-Eulerian approach, has been used rather than the fully coupled Eulerian model (Holmberg & Li, 1998). In the Eulerian-Lagrangian approach, the gas phase is solved by Eulerian equations and is then integrated with Lagrangian equations for particle motion, thereby tracking individual particles through the flow field (Tang et al, 2004). Researchers have utilized the Eulerian-Lagrangian model to study indoor airflows and contaminant particle concentration, in particular Chung (1999), Lu et al (1996), Dunn-Rankin (1998), andZhao et al (2004) investigated air movement and contaminant transport.…”

Section: Introductionmentioning

confidence: 99%

CFD Studies of Indoor Airflow and Contaminant Particle Transportation

Tian

Yeoh

2007

Particulate Science and Technology

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This article presents a numerical study of indoor airflows and contaminant particle transportation in three ventilated rooms. The realizable k À e model is employed to model the air-phase turbulence, while the Lagrangian particle tracking model is utilized for the particle-phase simulation. The predicted air-phase velocities and contaminant particle concentrations are validated against the experimental data obtained from the literature. In the first case, the realizable k À e model successfully captures the flow trend and reasonably predicts the airflow velocity. The realizable k À e model under-predicts the vertical air velocities along the vertical inlet jet axis by 11% at x ¼ 0.219 m, which is slightly better than the standard k À e model error of 17%. In a two-zone room case, the realizable k À e model, combined with a Lagrangian particle tracking model, predicts the particle concentration decay with the highest normalized difference being 24%. In the third case, the influence of particle size, location of particle resource, and particle-wall collision on the particle concentrations is investigated by the realizable k À e model and the Lagrangian model. It is found that for relatively small particles (diameter 10 lm), the particle concentration may be insensitive to the particle diameter. In addition it has been observed that the particle-collision model may have considerable effect on the particle concentration prediction.

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Section: Introductionmentioning

confidence: 99%

CFD Studies of Indoor Airflow and Contaminant Particle Transportation

Tian

Yeoh

2007

Particulate Science and Technology

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“…Gas-particle flows are commonly found in a wide variety of engineering applications. Typical examples include the flue gas and flue ash flow over heat exchanger tubes in coal fired boilers [12]. Here, erosion caused by particle collisions presents a major problem in these coal fired boilers, especially in reheaters and economizers [3].…”

Section: Introductionmentioning

confidence: 99%

“…For the particle phase, Lagrangian particle tracking method is used to trace the dispersion of particles about the trajectory. Here, the Eulerian equations for the gas phase were initially solved and then particles were individually tracked by integrating the equations of particle motion throughout the flow field [9]. An 'eddy lifetime' model was used to account for the effect from the gas-phase turbulence to the particle phase.…”

Section: Introductionmentioning

confidence: 99%

Numerical simulation of gas-particle flows over an in-line tube bank

Tian¹

2007

ANZIAMJ

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We present a numerical investigation of particle-wall collision phenomenon and its contribution to particle phase flows in an in-line tube bank. Particles with diameters of 30 µm and 93 µm were simulated using a Lagrangian particle tracking model, which included a particle-wall collision model and a stochastic wall roughness model. The predicted mean velocity and fluctuation profiles for both gas and 93 µm particles were validated against experimental data. The numerical predictions reveal that the wall roughness has a considerable effect by altering the rebounding behaviours of large particles, and consequently affecting particle trajectories downstream. Contents 1 Introduction C510

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Numerical analysis of the hydrodynamic behaviour of immiscible metallic alloys in twin-screw rheomixing process

2006

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A numerical analysis by a VOF method is presented for studying the hydrodynamic mechanisms of the rheomixing process by a twin-screw extruder (TSE). The simplified flow field is established based on a systematic analysis of flow features of immiscible alloys in TSE rheomixing process. The studies focus on the fundamental microstructure mechanisms of rheological behaviour in shear-induced turbulent flows. It is noted that the microstructure of immiscible alloys in the mixing process is strongly influenced by the interaction between droplets, which is controlled by shearing forces, viscosity ratio, turbulence, and shearing time. The numerical results show a good qualitative agreement with the experimental results, and are useful for further optimisation design of prototypical rheomixing processes.

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Numerical and experimental investigation of the morphology development of expansion clouds by a powder jet flow

Cited by 3 publications

References 30 publications

CFD Studies of Indoor Airflow and Contaminant Particle Transportation

CFD Studies of Indoor Airflow and Contaminant Particle Transportation

Numerical simulation of gas-particle flows over an in-line tube bank

Numerical analysis of the hydrodynamic behaviour of immiscible metallic alloys in twin-screw rheomixing process

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