Numerical simulation of planar shear flow passing a rotating cylinder at low Reynolds numbers

Fallah, Keivan; Fardad, Abasali; Fattahi, Ehsan; Zadeh, N. Sedaghati; Ghaderi, Atena

doi:10.1007/s00707-011-0561-4

Cited by 25 publications

(8 citation statements)

References 26 publications

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“…The most popular ones include the grid methods, e.g., FEM, FDM, FVM, and the methods based on the particle movement, such as the vortex method and, lately, the Bolzman Latice (Fallah [3]). By these methods, various turbulent flow models are solved.…”

Section: Introductionmentioning

confidence: 99%

Random Vortex Method in Numerical Analysis of 2D Flow Around Circular Cylinder

Kostecki

2015

Studia Geotechnica Et Mechanica

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A combination of the vortex method and the boundary element method is used here to predict the two-dimensional flow field around a circular cylinder. Cylindrical structures experience strong hydrodynamic loading, due to vortex detachment from the both sides of cylinder during the flow. Thus, the practical meaning of such calculation is significant particularly in offshore oil and gas engineering as well as in the bridge and hydraulic structure engineering. This paper presents the mathematical formulation of the vortex method for the velocity and vorticity field calculation. The calculated velocity and vorticity fields are then used to predict the pressure distribution on the cylinder surface by the boundary element method. The resulting pressure on the cylinder, the Strouhal number and the length of the base recirculation zone are compared with solutions of other numerical methods and experiments, and a good agreement is achieved.

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Section: Introductionmentioning

confidence: 99%

Random Vortex Method in Numerical Analysis of 2D Flow Around Circular Cylinder

Kostecki

2015

Studia Geotechnica Et Mechanica

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“…Also, the behavior of the interface in ferrofluids is completely different from that of common liquids due to sudden changes at magnetic properties of ferrofluids. Recently, the lattice Boltzmann method (LBM) has emerged as a promising alternative technique for fluid-flow simulations such as natural convection [16][17][18], nanofluid [18][19][20][21], unsteady flow [22,23], non-Newtonian flow [24,25], multiphase flow [26,27], and so on. The LBM based immiscible multiphase flow model can be divided into four distinctly different LBM approaches: the chromo-dynamic model [28], pseudo-potential model [29] (also known as the Shan-Chen), the intermolecular interaction models [30], and the free energy (FE) approach [31].…”

Section: Introductionmentioning

confidence: 99%

Simulation of the co-axial ferrofluid droplets interaction under uniform magnetic field

Ghaderi¹,

Kayhani²,

Nazari³

2019

THERM SCI

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In this study, falling and the coalescence of a pair ferrofluid droplets subjected to uniform magnetic field are investigated numerically. For this approach, a 2-D hybrid approach combined of lattice-Boltzmann and finite volume method is used. The lattice Boltzmann equation with the magnetic force term is solved to update the flow field while the magnetic induction equation is solved using finite volume method to calculate the magnetic field. To validate current simulations, three test cases have been considered: Laplace, multiple rising bubbles and deformation of static drop under magnetic field are analyzed. The comparison of results between the present study and previous researches shows a good agreement. The effects of different parameters: magnetic Bond number, magnetic susceptibility, and magnetic field direction are comprehensively studied. The results show that the coalescence of droplets becomes fast with the increasing Bond number and susceptibility in y-direction magnetic field. Also, the coalescence and falling process of droplets takes more time in the horizontal magnetic field in comparison with the vertical magnetic field.

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“…Recently, the lattice Boltzmann method (LBM), which is based on mesoscopic kinetic equations, has been proved to be a promising numerically robust technique to simulate complex flows, including natural convection [19], nanofluid [20,21], non-newotonian [22,23], unsteady flow [24], and especially two immiscible phases flow in complex geometries. Compared with conventional methods for multi-phase flows, LBM does not track interfaces while sharp interfaces can be maintained automatically [25].…”

Section: Introductionmentioning

confidence: 99%

Drop formation in cross-junction micro-channel, using lattice Boltzmann method

et al. 2018

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Drop formation in cross-junction micro-channels is numerically studied using the lattice Boltzmann method with pseudo-potential model. To verify the simulation, the results are compared to previous numerical and experimental data. Furthermore, the effects of capillary number, flow rate ratio, contact angle, and viscosity ratio on the flow patterns, drop length, and interval between drops are investigated and highlighted. The results show that the drop forming process has different regimes, namely, jetting, drop, and squeezing regimes. Also, it is shown that increasing in the flow rate ratio in the squeezing regime causes increment in drop length and decrement in drops interval distance. On the other hand, the drops length and the interval between the generated drops increase as contact angle increases. Also, the drop length and distance between drops is solely affected by viscosity ratio.

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Numerical simulation of planar shear flow passing a rotating cylinder at low Reynolds numbers

Cited by 25 publications

References 26 publications

Random Vortex Method in Numerical Analysis of 2D Flow Around Circular Cylinder

Random Vortex Method in Numerical Analysis of 2D Flow Around Circular Cylinder

Simulation of the co-axial ferrofluid droplets interaction under uniform magnetic field

Drop formation in cross-junction micro-channel, using lattice Boltzmann method

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