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Relevant bibliographies by topics / Particle Reynolds Number

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Journal articles

Academic literature on the topic 'Particle Reynolds Number'

Author: Grafiati

Published: 6 September 2023

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Journal articles on the topic "Particle Reynolds Number"

1

Chen, Rongqian, Yi Liu, and Deming Nie. "Computer Simulation of Three Particles Sedimentation in a Narrow Channel." Mathematical Problems in Engineering 2017 (2017): 1–11. http://dx.doi.org/10.1155/2017/1259840.

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The settling of three particles in a narrow channel is simulated via the lattice Boltzmann direct-forcing/fictitious domain (LB-DF/FD) method for the Reynolds number ranging from 5 to 200. The effects of the wall and the Reynolds number are studied. It is interesting to find that at certain Reynolds numbers the left (right) particle is settling at 0.175 (0.825) of the channel width irrespective of its initial position or the channel width. Moreover, numerical results have shown that the lateral particles lead at small Reynolds numbers, while the central particle leads at large Reynolds numbers

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2

Mao, Wenbin, and Alexander Alexeev. "Motion of spheroid particles in shear flow with inertia." Journal of Fluid Mechanics 749 (May 14, 2014): 145–66. http://dx.doi.org/10.1017/jfm.2014.224.

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AbstractIn this article, we investigate the motion of a solid spheroid particle in a simple shear flow. Using a lattice Boltzmann method, we examine individual effects of fluid inertia and particle rotary inertia as well as their combination on the dynamics and trajectory of spheroid particles at low and moderate Reynolds numbers. The motion of a single spheroid is shown to be dependent on the particle Reynolds number, particle aspect ratio, particle initial orientation and the Stokes number. Spheroids with random initial orientations are found to drift to stable orbits influenced by fluid ine

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3

DANIEL, W. BRENT, ROBERT E. ECKE, G. SUBRAMANIAN, and DONALD L. KOCH. "Clusters of sedimenting high-Reynolds-number particles." Journal of Fluid Mechanics 625 (April 14, 2009): 371–85. http://dx.doi.org/10.1017/s002211200900620x.

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We report experiments wherein groups of particles were allowed to sediment in an otherwise quiescent fluid contained in a large tank. The Reynolds number of the particles, defined as Re = aU/ν, ranged from 93 to 425; here, a is the radius of the spherical particle, U its settling velocity and ν the kinematic viscosity of the fluid. The characteristic size of a cluster, in a plane transverse to gravity, was measured by a ‘cluster variance’(〈r2t〉); the latter is defined as the mean square of the transverse coordinates of all constituent particles, averaged over a series of runs. The cluster vari

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4

Nie, Deming, Jianzhong Lin, and Mengjiao Zheng. "Direct Numerical Simulation of Multiple Particles Sedimentation at an Intermediate Reynolds Number." Communications in Computational Physics 16, no. 3 (2014): 675–98. http://dx.doi.org/10.4208/cicp.270513.130314a.

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AbstractIn this work the previously developed Lattice Boltzmann-Direct Forcing/ Fictitious Domain (LB-DF/FD) method is adopted to simulate the sedimentation of eight circular particles under gravity at an intermediate Reynolds number of about 248. The particle clustering and the resulting Drafting-Kissing-Tumbling (DKT) motion which takes place for the first time are explored. The effects of initial particle-particle gap on the DKT motion are found significant. In addition, the trajectories of particles are presented under different initial particle-particle gaps, which display totally three k

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5

Mei, Renwei, and Ronald J. Adrian. "Effect of Reynolds Number on Isotropic Turbulent Dispersion." Journal of Fluids Engineering 117, no. 3 (1995): 402–9. http://dx.doi.org/10.1115/1.2817276.

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The influence of the spatio-temporal structure of isotropic turbulence on the dispersion of fluid and particles with inertia is investigated. The spatial structure is represented by an extended von Ka´rma´n energy spectrum model which includes an inertial sub-range and allows evaluation of the effect of the turbulence Reynolds number, Reλ. Dispersion of fluid is analyzed using four different models for the Eulerian temporal auto-correlation function D(τ). The fluid diffusivity, normalized by the integral length scale L11 and the root-mean-square turbulent velocity u0, depends on Reλ. The param

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6

Tu, Chengxu, and Jian Zhang. "Nanoparticle-laden gas flow around a circular cylinder at high Reynolds number." International Journal of Numerical Methods for Heat & Fluid Flow 24, no. 8 (2014): 1782–94. http://dx.doi.org/10.1108/hff-03-2013-0101.

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Purpose – Experiments to investigate the characteristic distribution of nanoparticle-laden gas flow around a circular cylinder were performed with a fast mobility particle spectrometer. The paper aims to discuss these issues. Design/methodology/approach – The fast mobility particle sizer spectrometer is used to measure quasi-instantaneous particle number density. The acquired particle number density, total concentration, and geometric mean diameter at free stream and in the wake were used to discuss the particle characteristic distribution. The time-averaged velocity field detected by particle

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7

Almerol, Jenny Lynn Ongue, and Marissa Pastor Liponhay. "Clustering of fast gyrotactic particles in low-Reynolds-number flow." PLOS ONE 17, no. 4 (2022): e0266611. http://dx.doi.org/10.1371/journal.pone.0266611.

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Systems of particles in turbulent flows exhibit clustering where particles form patches in certain regions of space. Previous studies have shown that motile particles accumulate inside the vortices and in downwelling regions, while light and heavy non-motile particles accumulate inside and outside the vortices, respectively. While strong clustering is generated in regions of high vorticity, clustering of motile particles is still observed in fluid flows where vortices are short-lived. In this study, we investigate the clustering of fast swimming particles in a low-Reynolds-number turbulent flo

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8

Heymsfield, Andrew, and Robert Wright. "Graupel and Hail Terminal Velocities: Does a “Supercritical” Reynolds Number Apply?" Journal of the Atmospheric Sciences 71, no. 9 (2014): 3392–403. http://dx.doi.org/10.1175/jas-d-14-0034.1.

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Abstract This study characterizes the terminal velocities of heavily rimed ice crystals and aggregates, graupel, and hail using a combination of recent drag coefficient and particle bulk density observations. Based on a nondimensional Reynolds number (Re)–Best number (X) approach that applies to atmospheric temperatures and pressures where these particles develop and fall, the authors develop a relationship that spans a wide range of particle sizes. The Re–X relationship can be used to derive the terminal velocities of rimed particles for many applications. Earlier observations suggest that a

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9

Wu, Zhenqun, Hui Jin, and Leijin Guo. "Investigation on the drag coefficient of supercritical water flow past sphere-particle at low reynolds numbers." Thermal Science 21, suppl. 1 (2017): 217–23. http://dx.doi.org/10.2298/tsci17s1217w.

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Supercritical water fluidized bed is novel reactor for the efficient gasification of coal to produce hydrogen. The Euler-Euler and Euler-Lagrange methods can be used to simulate the flow behaviors supercritical water fluidized bed. The accuracy of the simulated results with the two methods has a great dependence on the drag coefficient model, and there is little work focused on the study on particle?s drag force in supercritical water. In this work, the drag coefficients of supercritical water flow past a single particle and particle cluster. The simulated results show that the flow field and

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10

Espinosa-Gayosso, Alexis, Marco Ghisalberti, Gregory N. Ivey, and Nicole L. Jones. "Particle capture and low-Reynolds-number flow around a circular cylinder." Journal of Fluid Mechanics 710 (September 7, 2012): 362–78. http://dx.doi.org/10.1017/jfm.2012.367.

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AbstractParticle capture, whereby suspended particles contact and adhere to a solid surface (a ‘collector’), is an important mechanism in a range of environmental processes. In aquatic systems, typically characterized by low collector Reynolds numbers ($\mathit{Re}$), the rate of particle capture determines the efficiencies of a range of processes such as seagrass pollination, suspension feeding by corals and larval settlement. In this paper, we use direct numerical simulation (DNS) of a two-dimensional laminar flow to accurately quantify the rate of capture of low-inertia particles by a cylin

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