Segregation and dispersion studies in binary solid-liquid fluidised beds: A theoretical and computational study

Khan, Md. Shakhaoath; Mitra, Subhasish; Ghatage, Swapnil V.; Doroodchi, Elham; Joshi, Jyeshtharaj B.; Evans, Geoffrey M.

doi:10.1016/j.powtec.2016.12.070

Cited by 26 publications

(14 citation statements)

References 32 publications

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“…CFD has been used as a useful tool for hydrodynamic prediction, design, scale‐up, and optimization of several chemical engineering equipments. Some of the commonly used chemical engineering equipments, that have investigated using CFD so as to understand the underlying flow physics involved are: pipes and pipe bends, particulate flows, packed bed reactors, fluidized bed reactors, bubbly flows, and heat exchangers . CFD has gained a lot of importance in the previous three decades owing to the wide application and promising results, which it offers at a nominal cost.…”

Section: Introductionmentioning

confidence: 99%

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Gajbhiye

Kulkarni

Tiwari

et al. 2020

Engineering Reports

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The largest network of fluid transportation in the world is through pipelines.During the transportation of fluids through pipes, several "fittings" are used in the piping system such as elbows, T-junctions, reducers, expanders, bends, couplings, valves, etc. The flow complexities in pipe fittings are accounted for the pressure drop in piping network design. The pressure drop is estimated using the loss coefficient or equivalent length method using standard charts. Computational fluid dynamics (CFD) is a reliable tool to estimate pressure drop and understand nonidealities in pipe fittings. The use of CFD in the advanced level course in transport phenomena/fluid flow for piping network design can help students to implement modern mathematical tools as well as evaluate standard protocols followed in the industries. In this article, an interactive teaching methodology has been implemented to investigate the hydrodynamics in various pipe fittings (elbow, bend, Tee, and reducer) by actually visualizing the flow. The three-dimensional flow visualization is used to demonstrate the nonidealities such as separation, swirling, dead zones, etc. The CFD simulations of pipe fittings provided a new learning experience to the students that would help them to predict the pressure drops in industrial piping network systems. The outcome from the students' survey showed that the proposed CFD methodology assisted them to gain a better understanding of conventional Chemical Engineering subjects of "Transport Phenomena" and "Fluid Dynamics" in an innovative way. K E Y W O R D Scomputational fluid dynamics, head loss coefficient, pipe fittings, turbulence models 1

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Section: Introductionmentioning

confidence: 99%

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Gajbhiye

Kulkarni

Tiwari

et al. 2020

Engineering Reports

View full text Add to dashboard Cite

show abstract

“…In recent years, computational fluid dynamics (CFD) methods are being utilized substantially compared to hydrodynamic modelling for the single/multicomponent gas-particle two-phase turbulent flow, e.g., the direct numerical simulation (DNS) algorithm [6][7][8][9][10][11], large eddy simulation (LES) SGS model [12][13][14][15][16][17][18], and Reynolds time-averaged Navier-Stokes simulation (RANS) [19][20][21][22][23][24][25][26][27][28][29][30][31][32][33][34]. Regarding gas turbulence modulations, Gore et al (1989) [35] found that turbulence modifications generally have two kind of effects-that is, the augmentation and attenuation activities-using a dimensionless parameter based on the ratio of particle diameter and length of maximum eddy.…”

Section: Introductionmentioning

confidence: 99%

Investigations of Gas–Particle Two-Phase Flow in Swirling Combustor by the Particle Stokes Numbers

Liu

2021

Processes

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Gas turbulence modulations and particle dispersions of swirling gas–particle two-phase flow in the combustor is investigated under the large spans of the particle Stokes numbers. To fully consider the preferential concentrations and anisotropic dispersions of a particle, a kinetic frictional stress model coupled with a second-order moment two-phase turbulent model and granular temperature equation is improved. The proposed modeling and simulations are in good agreement with the experimental validations. Results show turbulent modulations and particle dispersions exhibit strongly anisotropic characteristics, keeping a close relationship with flow structure. The axial gas velocity and RMS fluctuation velocity of 45.0-μm EGP was approximately 5.0 times and 3.0 times greater than 1000.0 μm Copper particles, and their axial particle velocity was 0.25 times and twice greater than those of 45.0 μm EGP. The degree of modulation in the axial–radial direction is larger than those of radial–tangential and axial–tangential direction. Particle dispersions are sensitive to particle diameter parameters and intensified by higher Stokes number.

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“…Shakhaoath et al, [42] generated an investigation over liquid fluidized beds based on segregation and dispersion of binary particle species of different densities and uniform size. Comparative study and review of published work about SLFB was organized by Shakhaoath et al, [43].…”

Section: Introductionmentioning

confidence: 99%

An Exploratory Approach to Study Electro-Osmotic of Non-Newtonian Bio-Bi-Phase Flow Due to Peristaltic Transport of Particulate Fluid

Khan

Wang

2021

ARFMTS

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The present article aims to probe the impacts of electro-magneto-hydrodynamics (EMHD) peristaltic flow of in-compressible, dusty, non-Newtonian fluid in a hose of predetermined dimension together with homogeneously scattered analogous rigid particles. In the presence of transversal static magnetic field, Navier-Stokes’s equations are employed to design a flow problem for the particulate phase. Governing flow problem is simplified by approximation of long wavelength and zero Reynolds number. The analytical solution for both velocities (solid-liquid) and pressure rise is computed by using well known computational software Mathematica. Perturbation method is employed to extract analytical solution of the resulting ordinary differential equations. Impacts of different physical parameters, expansion in trapped bolus for fluid and particulate velocity profile by increasing Hartmann number are displayed and explained through graphs. Furthermore, a rise in skin friction is noticed with the rise in particle effect and electro-osmotic parameter. This study may have greater significance and viable applications to improve the quality of micro-fluidic devices.

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Segregation and dispersion studies in binary solid-liquid fluidised beds: A theoretical and computational study

Cited by 26 publications

References 32 publications

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Teaching turbulent flow through pipe fittings using computational fluid dynamics approach

Investigations of Gas–Particle Two-Phase Flow in Swirling Combustor by the Particle Stokes Numbers

An Exploratory Approach to Study Electro-Osmotic of Non-Newtonian Bio-Bi-Phase Flow Due to Peristaltic Transport of Particulate Fluid

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