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Virtual motion of real particles

Published online by Cambridge University Press:  20 April 2010

G. TRYGGVASON
G. TRYGGVASON*
Affiliation:
Department of Mechanical Engineering, Worcester Polytechnic Institute, Worcester, MA 01609, USA
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Abstract

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Direct numerical simulations are rapidly becoming one of the most important techniques to examine the dynamics of multiphase flows. Lucci, Ferrante & Elghobashi (J. Fluid Mech., 2010, this issue, vol. 650, pp. 5–55) address several fundamental issues for spherical particles in isotropic turbulence. They show the importance of including the finite size of the particles and discuss how particles of a size comparable to the largest length scale at which viscosity substantially affects the turbulent eddies (i.e. the Taylor microscale) always increase the dissipation of turbulent kinetic energy.

Type
Focus on Fluids
Information
Journal of Fluid Mechanics , Volume 650 , 10 May 2010 , pp. 1 - 4
Copyright
Copyright © Cambridge University Press 2010

References

Bunner, B. & Tryggvason, G. 2002 Dynamics of homogeneous bubbly flows. Part 1. Rise velocity and microstructure of the bubbles. J. Fluid Mech. 466, 17–52.CrossRefGoogle Scholar
Cate, A. T., Derksen, J. J., Portela, L. M. & van den Akker, H. E. A. 2004 Fully resolved simulations of colliding monodisperse spheres in forced isotropic turbulence. J. Fluid Mech. 519, 233–271.CrossRefGoogle Scholar
Elghobashi, S. & Truesdell, G. C. 1992 Direct simulation of particle dispersion in a decaying isotropic turbulence. J. Fluid Mech. 242, 655–700.CrossRefGoogle Scholar
Esmaeeli, A. & Tryggvason, G. 1996 An inverse energy cascade in two-dimensional, low Reynolds number bubbly flows. J. Fluid Mech. 314, 315–330.CrossRefGoogle Scholar
Feng, J., Hu, H. H. & Joseph, D. D. 1994 Direct simulation of initial value problems for the motion of solid bodies in a Newtonian fluid. Part 1. Sedimentation. J. Fluid Mech. 261, 95–134.CrossRefGoogle Scholar
Ferrante, A. & Elghobashi, S. E. 2005 Reynolds number effect on drag reduction in a bubble-laden spatially developing turbulent boundary layer. J. Fluid Mech. 543, 93–106.CrossRefGoogle Scholar
Harlow, F. H. & Welch, J. E. 1965 Numerical calculation of time-dependent viscous incompressible flow of fluid with a free surface. Phys. Fluid 8, 2182–2189.CrossRefGoogle Scholar
Lucci, F., Ferrante, A. & Elghobashi, S. 2010 Modulation of isotropic turbulence by particles of Taylor-length scale size. J. Fluid Mech. 650, 5–55.CrossRefGoogle Scholar
Prosperetti, A. & Tryggvason, G. 2007 Computational Methods for Multiphase Flow. Cambridge University Press.CrossRefGoogle Scholar