Step by step methodology of designing a liquid–solid circulating fluidized bed using computational fluid dynamic approach

Palkar, Ritesh Ramesh; Patnaikuni, Venkata Suresh; Shilapuram, Vidyasagar

doi:10.1016/j.cherd.2018.08.031

Cited by 8 publications

(3 citation statements)

References 29 publications

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“…Compared with the ordered state of laminar flow, turbulent flow shows a disordered chaotic state. In practical engineering, the Reynolds averaged N-S (RANS) method is adopted [4], because the other two methods, large eddy simulation (LES) and direct numerical simulation (DNS), cannot be used in practical engineering. With underdeveloped computer technology, the direct numerical simulation of turbulence based on the NS equation is used, arising so many disadvantages.…”

Section: The Turbulence Modelmentioning

confidence: 99%

Optimization of the Internal Circulating Fluidized Bed Using Computational Fluid Dynamics Technology

Du¹,

Liu²,

Sun³

2022

Fluid Dynamics &Amp; Materials Processing

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The computational fluid dynamics (CFD) technology is analyzed and calculated utilizing the turbulence model and multiphase flow model to explore the performance of internal circulating fluidized beds (ICFB) based on CFD. The three-dimensional simulation method can study the hydrodynamic properties of the ICFB, and the performance of the fluidized bed is optimized. The fluidization performance of the ICFB is improved through the experimental study of the cross-shaped baffle. Then, through the cross-shaped baffle and funnel-shaped baffle placement, the fluidized bed reaches a coupled optimization. The results show that CFD simulation technology can effectively improve the mass transfer efficiency and performance of sewage treatment. The base gap crossshaped baffle can improve the hydraulic conditions of the fluidized bed and reduce the system energy consumption. The cross-shaped baffle and funnel-shaped baffle can perfect the performance of the reactor and effectively strengthen the treatment in the intense aerobic process of industrial sewage.

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Section: The Turbulence Modelmentioning

confidence: 99%

Optimization of the Internal Circulating Fluidized Bed Using Computational Fluid Dynamics Technology

Du¹,

Liu²,

Sun³

2022

Fluid Dynamics &Amp; Materials Processing

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show abstract

“…[ 20 ] Many calculation resources are needed since the Eulerian–Lagrangian approach calculates the discrete phase independently. [ 21 ] The discrete phases are treated as fully interpenetrating continua in the Eulerian–Eulerian approach. [ 22 ] The Eulerian–Eulerian approach takes less time to simulate, but the computational accuracy is less than the Eulerian–Lagrangian approach.…”

Section: Cfd Model and Working Arrangementmentioning

confidence: 99%

Study on the flow characteristics of the pulsating intermittent liquid–solid fluidized bed with step liquid velocity by CFD approach

et al. 2022

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A new type of liquid-solid fluidized bed (LSFB), the pulsating intermittent LSFB (PI-LSFB), which uses pulsating liquid flow, was analyzed through numerical and experimental study. A good agreement between numerical simulation results and laboratory experimental measurement data was achieved.The mass transfer efficiency between the liquid and solids phases was enhanced since the relative velocity was significantly improved. The flow characteristics of the PI-LSFB were analyzed through the Eulerian-Eulerian approach, incorporating the kinetic theory of granular flow. The solids holdup

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“…However, there is still limited research on heterogeneous fluidization phenomena [41,42]. Moreover, the flow stability and flow resistance in a liquid-solid fluidized bed have received limited attention [28,43,44].…”

Section: Introductionmentioning

confidence: 99%

An Experimental Study of Pressure Drop Characteristics and Flow Resistance Coefficient in a Fluidized Bed for Coal Particle Fluidization

et al. 2022

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Liquid–solid fluidized beds have a wide range of applications in metallurgical processing, mineral processing, extraction, and wastewater treatment. Great interest on their flow stability and heterogeneous fluidization behaviors has been aroused in research. In this study, various fluidization experiments were performed by adjusting the operating conditions of particle size, particle density, and liquid superficial velocity. For each case, the steady state of liquid–solid fluidization was obtained, and the bed expansion height and pressure drop characteristics were analyzed. The time evolution of pressure drop at different bed heights can truly reflect the liquid–solid heterogeneous fluidization behaviors that are determined by operating conditions. With the increase in superficial liquid velocity, three typical fluidization stages were observed. Accordingly, the flow resistance coefficient was obtained based on the experimental data of bed expansion height and pressure drop. The flow resistance coefficient experiences a decrease with the increase in the modified particle Reynolds number and densimetric Froude number.

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Step by step methodology of designing a liquid–solid circulating fluidized bed using computational fluid dynamic approach

Cited by 8 publications

References 29 publications

Optimization of the Internal Circulating Fluidized Bed Using Computational Fluid Dynamics Technology

Optimization of the Internal Circulating Fluidized Bed Using Computational Fluid Dynamics Technology

Study on the flow characteristics of the pulsating intermittent liquid–solid fluidized bed with step liquid velocity by CFD approach

An Experimental Study of Pressure Drop Characteristics and Flow Resistance Coefficient in a Fluidized Bed for Coal Particle Fluidization

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