Numerical analysis of hydrodynamics and crystal motion in a batch crystallizer

Ali, Basant A.; Janiga, Gábor; Temmel, Erik; Seidel‐Morgenstern, A.; Thévenin, Dominique

doi:10.1016/j.jcrysgro.2013.01.041

Cited by 27 publications

(23 citation statements)

References 24 publications

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“…e Euler model was adopted as the analytical model, and a coupled analysis with the discrete phase model was conducted to analyze the particle behavior (Ashraf Ali et al, 2013). Table 1 presents the simulation conditions.…”

Section: Computational Dynamics 11 Segmented Ow Crystallizationmentioning

confidence: 99%

Effect of Fluid Flow on Crystallization in a Segmented Flow Microchannel

Yamasaki

Sotowa

Horikawa

2021

J. Chem. Eng. Japan

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Section: Computational Dynamics 11 Segmented Ow Crystallizationmentioning

confidence: 99%

Effect of Fluid Flow on Crystallization in a Segmented Flow Microchannel

Yamasaki

Sotowa

Horikawa

2021

J. Chem. Eng. Japan

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“…The multiple reference frame model is a simple steady-state calculation method that reduces computational expense. The sliding mesh method was then used to solve the flow field as well as particle distribution since this method can deliver a truly time-dependent solution (Ashraf Ali et al 2013). The multiple reference frame model used a rotating frame for the region containing the wires and support bar, while a stationary frame was applied to the nonmoving part as shown in Figure 4a.…”

Section: Cfd Modelmentioning

confidence: 99%

Particle capture by a rotating disk in a kitchen exhaust hood

Zhang

Liu

Chen

2020

Aerosol Science and Technology

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Chinese cooking produces large numbers of particles that can cause both indoor and outdoor air quality problems. To reduce the extraction of particles to the outdoor air, this investigation studied capture efficiency of a rotating disk in an exhaust hood. The studies were performed experimentally in a wind tunnel and numerically by computational fluid dynamics (CFD) models with the Lagrangian method for tracking particle trajectories. The experimental data were used to identify the best turbulence model among the three tested in the CFD simulations. The results show that the capture efficiency increased with disk rotation speed and particle size but decreased with exhaust airflow rate. The CFD simulations provided detailed information about the mechanisms by which particles of different sizes were captured by the rotating disk. CFD was then used to explore two methods for improving the capture efficiency: adding more wires to the middle and outer zones of the disk, and using two layers of disks. Both methods can increase the capture efficiency of the rotating disk at an acceptable pressure loss.

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“…The strong advantage of CFD-DEMsimulations toward other multiphase models, e.g., Discrete Phase Simulations (DPM) is that particle-particle-interactions are directly taken into account, and the flow modifications taking place in dense, which is examined by Ashraf Ali et al (2014). CFD-DEM calculations are so-called four-way coupling methods, which means that 1) the particles can collide with each other and with the reactor walls, 2) the fluid (continuous phase) influences the particles, 3) particle disturbance of the fluid locally affects another particle's motion (an effect known as particle swarm), and 4) the particles have an influence on the fluid flow.…”

Section: K Kerst Et Almentioning

confidence: 99%