scholarly journals Velocity Profile of Fluid Particle Suspension over a Horizontal Plate with Electrification of Particles

2019 ◽  
Vol 8 (11) ◽  
pp. 1119-1122
Keyword(s):  
Finite Difference Method ◽  
Electricity Generation ◽  
Fluid Phase ◽  
Particle Suspension ◽  
Particle Phase ◽  
Systems Of Equations ◽  
Horizontal Plate ◽  
Newtonian Type ◽  
Size Of Particles ◽  
Fluid Particle Suspension

The modelling of electrified flow over a horizontal plate is considered. Here the fluid is of Newtonian type and fluid-fluid, fluid- particles collisions are accounted. The effective volumetric force, viscous dissipation, browanion diffusion, in fluid phase as well as particle phase has been considered. In this paper we considered the generation of electricity due to hitting of particles with each other and with the wall of the flow and its impact on motion of flow particles. The systems of equations representing the flow are solved by finite difference method. It concludes from outcome of computation that the particle velocity rises with rise of electricity generation and increasing size of particles.

Application of the double-marker method for measuring digesta kinetics to rumen sampling in sheep following a dose of the markers or the end of their continuous infusion

1992 ◽  
Vol 43 (2) ◽  
pp. 277 ◽  
Author(s):  
GJ Faichney
Keyword(s):  
Single Dose ◽  
Steady State ◽  
Continuous Infusion ◽  
Equilibrium Phase ◽  
Fluid Phase ◽  
Particle Phase

Methods are described by which the double-marker method for measuring digesta kinetics may be applied to rumen samples taken from sheep maintained in steady-state conditions, while marker concentrations are declining after a single dose of the two markers, or cessation of their continuous infusion, or increasing in the pre-equilibrium phase of their unprimed continuous infusion. Also described are procedures for checking the consistency of analyses applied to digesta, fluid-phase and particle-phase samples and for physically reconstituting true digesta samples. Errors due to deviations of the markers from ideal behaviour are examined.

The flow of fluid-particle suspension between two rotating stretchable disks with the effect of the external magnetic field

2020 ◽  
Vol 96 (1) ◽  
pp. 015214
Author(s):  
M Radhika ◽  
G Sowmya ◽  
Siddabasappa ◽  
B C Prasannakumara ◽  
Manawwer Alam ◽  
...  
Keyword(s):  
Magnetic Field ◽  
External Magnetic Field ◽  
Fluid Particle ◽  
Particle Suspension ◽  
Fluid Particle Suspension

scholarly journals A Lagrangian probability-density-function model for collisional turbulent fluid–particle flows

2019 ◽  
Vol 862 ◽  
pp. 449-489 ◽  
Author(s):  
A. Innocenti ◽  
R. O. Fox ◽  
M. V. Salvetti ◽  
S. Chibbaro
Keyword(s):  
Probability Density Function ◽  
Probability Density ◽  
Density Function ◽  
Turbulent Flows ◽  
Isotropic Turbulence ◽  
Fluid Phase ◽  
Stochastic Modelling ◽  
Inertial Particles ◽  
Particle Phase ◽  
Dense Particle

Inertial particles in turbulent flows are characterised by preferential concentration and segregation and, at sufficient mass loading, dense particle clusters may spontaneously arise due to momentum coupling between the phases. These clusters, in turn, can generate and sustain turbulence in the fluid phase, which we refer to as cluster-induced turbulence (CIT). In the present work, we tackle the problem of developing a framework for the stochastic modelling of moderately dense particle-laden flows, based on a Lagrangian probability-density-function formalism. This framework includes the Eulerian approach, and hence can be useful also for the development of two-fluid models. A rigorous formalism and a general model have been put forward focusing, in particular, on the two ingredients that are key in moderately dense flows, namely, two-way coupling in the carrier phase, and the decomposition of the particle-phase velocity into its spatially correlated and uncorrelated components. Specifically, this last contribution allows us to identify in the stochastic model the contributions due to the correlated fluctuating energy and to the granular temperature of the particle phase, which determine the time scale for particle–particle collisions. The model is then validated and assessed against direct-numerical-simulation data for homogeneous configurations of increasing difficulty: (i) homogeneous isotropic turbulence, (ii) decaying and shear turbulence and (iii) CIT.

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