Fluid dynamic simulation of O<sub>3</sub> decomposition in a bubbling fluidized bed

Syamlal, Madhava; O’Brien, Thomas J.

doi:10.1002/aic.690491112

Cited by 167 publications

(169 citation statements)

References 20 publications

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“…This study applied the Syamlal-O'Brien model [30] as a particle viscosity and pressure model [31][32][33][34], and it was also used as a drag force model. The continuity equations are shown as Equations (1) and (2), and the momentum equations as Equations (3) and (4):…”

Section: Governing Equationsmentioning

confidence: 44%

Predicting Sedimentation in Urban Sewer Conduits

Yangho

Yun

Lee

et al. 2018

Water

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Sedimentation commonly occurs in urban drainage systems, disrupts flow, and is one of the major causes of inundation. The complicated phenomena that alter the cross-section of sewer conduits include transportation, precipitation, and sedimentation, and need to be analyzed for the proper design and efficient maintenance of urban drainage systems. In this study, the discharge capacity of urban drainage systems is simulated and analyzed by considering the pattern of flow of sediments in sewer conduits through a numerical analysis model. The sites of the highest and lowest accumulation of soil were examined as sedimentation occurred, as was discharge due to accumulation in sewer conduits. The purpose of this study is the examination of mathematical models for two-phase fluid flow analysis and the prediction of sedimentation in urban sewer conduits. An expression for the height of the sedimentation was obtained to assess the discharge capacity of urban drainage systems, and a model to predict accumulation in sewer conduits was developed using non-dimensional variables for inlet velocity, inlet particle volume fraction, and particle size. When subjected to linear regression analysis, the model yielded a high correlation coefficient (R 2 ) of 0.899. This satisfied the aims of this study, to obtain a higher discharge capacity and a plan for the design of urban drainage systems.

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Section: Governing Equationsmentioning

confidence: 44%

Predicting Sedimentation in Urban Sewer Conduits

Yangho

Yun

Lee

et al. 2018

Water

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“…The general method employed to determine the bed expansion is normally based on the bed voidage measurement, which in turn is deduced from the mean pressure drop [8]. Also, bed height has been measured experimentally by means of the overhead observation of a probe tip.…”

Section: Bed Expansionsupporting

confidence: 42%

“…Also, bed height has been measured experimentally by means of the overhead observation of a probe tip. Such measurement has been believed to be highly biased, and, more importantly, no standard errors or deviations of data have been reported [8]. Fryer and Potter [9] reported that the experimental technique might well underestimate the bed expansion due to the diffusing characteristic of the bed surface.…”

Section: Bed Expansioncontrasting

confidence: 40%

CFD simulation of gas—solid bubbling fluidized bed: an extensive assessment of drag models

Mahinpey¹,

Vejahati²,

Ellis³

2007

WIT Transactions on Engineering Sciences, Vol 56

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In the computational fluid dynamics modeling of gas-solid two phase flow, drag force is one of the dominant mechanisms for interphase momentum transfer. Despite the profusion of drag models, an extensive comparison is missing from the literature. In this work the drag correlations of Syamlal-O'Brien, Gidaspow, Wen-Yu, Arastoopour, Gibilaro, Di Felice, Zhang-Reese and Koch et al. are reviewed using a multifluid model of FLUENT software with the resulting hydrodynamics parameters being compared with experimental data. Also adjustment of drag models based on minimum fluidization was studied. A new method adopted to adjust the drag function of Di Felice showed a quantitative improvement compared to the adjusted drag model of Syamlal-O'Brien. Prediction of bed expansion and pressure drop showed excellent agreement with results of experiments conducted in a Plexiglas fluidized bed. A mesh size sensitivity analysis with varied interval spacing showed that mesh interval spacing with 18 times the particle diameter and using higher order discretization methods produces acceptable results.

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“…In this work the following algebraic granular temperature equation was used with the assumptions that the granular energy is dissipated locally, the convection and diffusion contributions are negligible and retaining only the generation and dissipation terms [11,14]. (19) When using this algebraic equation in stead of solving the balance for the granular temperature, much faster convergence is obtained during simulations [13,14].…”

Section: Governing Equationsmentioning

confidence: 42%