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Impact of collisional versus viscous dissipation on flow instabilities in gas–solid systems

Published online by Cambridge University Press:  20 June 2013

Xiaolong Yin
Affiliation:
Petroleum Engineering Department, Colorado School of Mines, Golden, CO 80401, USA
John R. Zenk
Affiliation:
Department of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80309, USA
Peter P. Mitrano
Affiliation:
Department of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80309, USA
Christine M. Hrenya*
Affiliation:
Department of Chemical and Biological Engineering, University of Colorado, Boulder, CO 80309, USA
*
Email address for correspondence: [email protected]

Abstract

Flow instabilities encountered in the homogeneous cooling of a gas–solid system are considered via lattice-Boltzmann simulations. Unlike previous efforts, the relative contribution of the two mechanisms leading to instabilities is explored: viscous dissipation (fluid-phase effects) and collisional dissipation (particle-phase effects). The results indicate that the instabilities encountered in the gas–solid system mimic those previously observed in their granular (no fluid) counterparts, namely a velocity vortex instability that precedes in time a clustering instability. We further observe that the onset of the instabilities is quicker in more dissipative systems, regardless of the source of the dissipation. Somewhat surprisingly however, a cross-over of the kinetic energy levels is observed during the evolution of the instability. Specifically, the kinetic energy of the gas–solid system is seen to become greater than that of its granular counterpart (i.e. same restitution coefficient) after the vortex instability sets in. This cross-over of kinetic energy levels between a more dissipative system (gas–solid) and a less dissipative system (granular) can be explained by the alignment of particle motion found in a vortex. Such alignment leads to a reduction in both collisional and viscous energy dissipation due to the more glancing nature of collisions.

Type
Rapids
Copyright
©2013 Cambridge University Press 

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References

Agrawal, K., Loezos, P. N., Syamlal, M. & Sundaresan, S. 2001 The role of meso-scale structures in rapid gas–solid flows. J. Fluid Mech. 445, 151.Google Scholar
Allen, M. P. & Tildesley, D. J. 1989 Computer Simulation of Liquids. Oxford University Press.Google Scholar
Brey, J. J. 1999 Origin of density clustering in a freely evolving granular gas. Phys. Rev. E 60, 3150.Google Scholar
Brilliantov, N., Saluena, C., Schwager, T. & Pöschel, T. 2004 Transient structures in a granular gas. Phys. Rev. Lett. 93, 134301.Google Scholar
Brito, R. & Ernst, M. H. 1998 Extension of Haff’s cooling law in granular flows. Europhys. Lett. 43, 497.Google Scholar
Feng, Z.-G & Michaelides, E. E. 2005 Proteus: a direct forcing method in the simulations of particulate flows. J. Comput. Phys. 202, 51.Google Scholar
Garzó, V. 2005 Instabilities in a free granular fluid described by the Enskog equation. Phys. Rev. E 72, 021106.Google Scholar
Garzó, V., Tenneti, S., Subramaniam, S. & Hrenya, C. M. 2012 Enskog kinetic theory for monodisperse gas–solid flows. J. Fluid Mech. 712, 129.Google Scholar
Glasser, B. J., Sundaresan, S. & Kevrekidis, I. G. 1998 From bubbles to clusters in fluidized beds. Phys. Rev. Lett. 81, 1849.Google Scholar
Goldhirsch, I. 2003 Rapid granular flows. Annu. Rev. Fluid Mech. 35, 267.Google Scholar
Goldhirsch, I., Tan, M.-L. & Zanetti, G. 1993 A molecular dynamical study of granular fluids I: the unforced granular gas in two dimensions. J. Sci. Comput. 8, 1.CrossRefGoogle Scholar
Goldhirsch, I. & Zanetti, G. 1993 Clustering instability in dissipative gases. Phys. Rev. Lett. 70, 1619.CrossRefGoogle ScholarPubMed
Grace, J. R. & Tuot, J. 1979 A theory for cluster formation in vertically conveyed suspensions of intermediate density. Trans. Inst. Chem. Engng 57, 49.Google Scholar
Hopkins, M. & Louge, M. 1991 Inelastic microstructure in rapid granular flows of smooth disks. Phys. Fluids A 3, 47.Google Scholar
Hrenya, C. M., Galvin, J. E. & Wildman, R. D. 2008 Evidence of higher-order effects in thermally-driven, rapid granular flows. J. Fluid Mech. 598, 429.Google Scholar
Kim, S. & Karrila, S. J. 2005 Microhydrodynamics: Principles and Selected Applications. Dover.Google Scholar
Koch, D. L. 1990 Kinetic theory for a monodisperse gas–solid suspension. Phys. Fluids A 2, 1711.Google Scholar
Koch, D. L. & Sangani, A. S. 1999 Particle pressure and marginal stability limits for a homogeneous monodisperse gas-fluidized bed: kinetic theory and numerical simulations. J. Fluid Mech. 400, 229.Google Scholar
Kudrolli, A., Wolpert, M. & Gollub, J. P. 1997 Cluster formation due to collisions in a granular material. Phys. Rev. Lett. 78, 1383.CrossRefGoogle Scholar
Ladd, A. J. C. & Verberg, R. 2001 Lattice-Boltzmann simulation of particle-fluid suspensions. J. Stat. Phys. 104, 1191.Google Scholar
Mitrano, P. P., Dahl, S. R., Cromer, D. J., Pacella, M. S. & Hrenya, C. M. 2011 Instabilities in the homogeneous cooling of a granular gas: a quantitative assessment of kinetic-theory prediction. Phys. Fluids 23, 093303.CrossRefGoogle Scholar
Mitrano, P. P., Dahl, S. R., Hilger, A. M., Ewasko, C. J. & Hrenya, C. M. Dual role of friction on dissipation-driven instabilities in granular flows. J. Fluid Mech. (submitted).Google Scholar
Mitrano, P. P., Garzó, V., Hilger, A. M., Ewasko, C. J. & Hrenya, C. M. 2012 Assessing a hydrodynamic description for instabilities in highly dissipative, freely cooling granular gases. Phys. Rev. E 85, 141303.Google Scholar
Nguyen, N.-Q. & Ladd, A. J. C. 2002 Lubrication corrections for lattice-Boltzmann simulations of particle suspensions. Phys. Rev. E 66, 046708.Google Scholar
Pöschel, T. & Schwager, T. 2005 Computational Granular Dynamics. Springer.Google Scholar
Rericha, E. C., Bizon, C., Shattuck, M. D. & Swinney, H. L. 2002 Shocks in supersonic sand. Phys. Rev. Lett. 88, 014302.Google Scholar
Royer, J. R., Evans, D. J., Oyarte, L., Guo, Q., Kapit, E., Mobius, M. E., Waitukaitis, S. R. & Jaeger, H. M. 2009 High-speed tracking of rupture and clustering in freely falling granular streams. Nature 459, 1110.Google Scholar
Sangani, A. S., Mo, G., Tsao, H.-K. & Koch, D. L. 1996 Simple shear flows of dense gas–solid suspensions at finite stokes numbers. J. Fluid Mech. 313, 309.Google Scholar
Tenneti, S., Garg, R., hrenya, C. M., Fox, R. O. & Subramaniam, S. 2010 Direct numerical simulation of gas–solid suspensions at moderate Reynolds number: quantifying the coupling between hydrodynamic forces and particle velocity fluctuations. Powder Technol. 203, 57.Google Scholar
Wachs, A. 2009 A DEM-DLM/FD method for direct numerical simulation of particulate flows: sedimentation of polygonal isometric particles in a Newtonian fluid with collisions. Comput. Fluids 38, 1608.Google Scholar
Wang, J., Ren, C. & Yang, Y. 2010 Characterization of flow regime transition and particle motion using acoustic emission measurement in a gas–solid fluidized bed. AIChE J. 56, 1173.Google Scholar
Wildman, R. D., Martin, T. W., Huntley, J. M., Jenkins, J. T., Viswanathan, H., Fen, X. & Parker, D. J. 2008 Experimental investigation and kinetic-theory-based model of a rapid granular shear flow. J. Fluid Mech. 602, 63.Google Scholar
Wylie, J. J. & Koch, D. L. 2000 Particle clustering due to hydrodynamic interactions. Phys. Fluids 12, 964.Google Scholar
Wylie, J. J., Koch, D. L. & Ladd, J. C. 2003 Rheology of suspensions with high particle inertia and moderate fluid inertia. J. Fluid Mech. 480, 95.Google Scholar
Wylie, J. J., Zhang, Q. & Li, Y. 2009 Driven inelastic-particle systems with drag. Phys. Rev. E 79, 031301.Google Scholar
Xu, H., Louge, M. & Reeves, A. 2003 Solutions of the kinetic theory for bounded collisional granular flows. Contin. Mech. Thermodyn. 15, 321.Google Scholar

Yin et al. supplementary movie

Evolution of the coarse-grained particle velocity field at three different times: ReT = 30, e = 0.8, φ = 0.2, ρp /ρg = 1000.

Download Yin et al. supplementary movie(Video)
Video 64.4 MB

Yin et al. supplementary movie

Evolution of the coarse-grained particle velocity field at three different times: ReT = 30, e = 0.8, φ = 0.2, ρp /ρg = 1000.

Download Yin et al. supplementary movie(Video)
Video 18 MB