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Drag coefficient, swarm

This result can also be applied directly to coarse particle swarms. For fine particle systems, the suspending fluid properties are assumed to be modified by the fines in suspension, which necessitates modifying the fluid properties in the definitions of the Reynolds and Archimedes numbers accordingly. Furthermore, because the particle drag is a direct function of the local relative velocity between the fluid and the solid (the interstitial relative velocity, Fr), it is this velocity that must be used in the drag equations (e.g., the modified Dallavalle equation). Since Vr = Vs/(1 — Reynolds number and drag coefficient for the suspension (e.g., the particle swarm ) are (after Barnea and Mizrahi, 1973) ... [Pg.429]

Making use of the correlation proposed by Ishii and Zuber [24] for correction of the drag force in a bubble swarm, the drag coefficient q is multiplied with the correction factor/ which is given by ... [Pg.32]

As a matter of fact, one may think of a multiscale approach coupling a macroscale simulation (preferably, a LES) of the whole vessel to meso or microscale simulations (DNS) of local processes. A rather simple, off-line way of doing this is to incorporate the effect of microscale phenomena into the full-scale simulation of the vessel by means of phenomenological coefficients derived from microscale simulations. Kandhai et al. (2003) demonstrated the power of this approach by deriving the functional dependence of the singleparticle drag force in a swarm of particles on volume fraction by means of DNS of the fluid flow through disordered arrays of spheres in a periodic box this functional dependence now can be used in full-scale simulations of any flow device. [Pg.157]


See other pages where Drag coefficient, swarm is mentioned: [Pg.429]    [Pg.441]    [Pg.338]    [Pg.339]    [Pg.771]    [Pg.164]    [Pg.108]    [Pg.896]    [Pg.246]    [Pg.341]    [Pg.771]    [Pg.897]   
See also in sourсe #XX -- [ Pg.429 ]




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