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Particle dynamics in the channel flow of a turbulent particle–gas suspension at high Stokes number. Part 1. DNS and fluctuating force model

Published online by Cambridge University Press:  06 October 2011

Partha S. Goswami
Affiliation:
Department of Chemical Engineering, Indian Institute of Science, Bangalore 560 012, India
V. Kumaran*
Affiliation:
Department of Chemical Engineering, Indian Institute of Science, Bangalore 560 012, India
*
Email address for correspondence: [email protected]

Abstract

The fluctuating force model is developed and applied to the turbulent flow of a gas–particle suspension in a channel in the limit of high Stokes number, where the particle relaxation time is large compared to the fluid correlation time, and low particle Reynolds number where the Stokes drag law can be used to describe the interaction between the particles and fluid. In contrast to the Couette flow, the fluid velocity variances in the different directions in the channel are highly non-homogeneous, and they exhibit significant variation across the channel. First, we analyse the fluctuating particle velocity and acceleration distributions at different locations across the channel. The distributions are found to be non-Gaussian near the centre of the channel, and they exhibit significant skewness and flatness. However, acceleration distributions are closer to Gaussian at locations away from the channel centre, especially in regions where the variances of the fluid velocity fluctuations are at a maximum. The time correlations for the fluid velocity fluctuations and particle acceleration fluctuations are evaluated, and it is found that the time correlation of the particle acceleration fluctuations is close to the time correlations of the fluid velocity in a ‘moving Eulerian’ reference, moving with the mean fluid velocity. The variances of the fluctuating force distributions in the Langevin simulations are determined from the time correlations of the fluid velocity fluctuations and the results are compared with direct numerical simulations. Quantitative agreement between the two simulations are obtained provided the particle viscous relaxation time is at least five times larger than the fluid integral time.

Type
Papers
Copyright
Copyright © Cambridge University Press 2011

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References

1. Armenio, V. & Fiorotto, V. 2001 Equation of motion for a small rigid sphere in a non-uniform flow. Phys. Fluids 13, 2437.CrossRefGoogle Scholar
2. Balachandar, S. & Eaton, J. K. 2010 Turbulent dispersed multiphase flow. Annu. Rev. Fluid Mech. 42, 111133.CrossRefGoogle Scholar
3. Bec, J., Biferale, L., Boffetta, G., Celani, A., Cencini, M., Lanotte, A., Musacchio, S. & Toschi, F. 2006 Acceleration statistics of heavy particles in turbulence. J. Fluid Mech. 550, 349358.CrossRefGoogle Scholar
4. Bec, J., Biferale, L., Boffetta, G., Cencini, M., Lanotte, A. S. & Toschi, F. 2010 Intermittency in the velocity distribution of heavy particles in turbulence. J. Fluid Mech. 646, 527536.CrossRefGoogle Scholar
5. Canuto, C., Hussaini, M. & Zang, T. 1988 Spectral Methods in Fluid Dynamics. Springer.CrossRefGoogle Scholar
6. Carlier, J. P., Khaliji, M. & Osterle, B. 2005 An improved model for anisotropic dispersion of small particles in turbulent shear flows. Aerosol Sci. Technol. 39, 196205.CrossRefGoogle Scholar
7. Dinavahi, S. P. G. 1992 Probability density functions in turbulent channel flow. Tech. Rep. 4454.Google Scholar
8. Elghobashi, S. & Truesdell, G. C. 1992 Direct simulation of particle dispersion in a decaying isotropic turbulence. J. Fluid Mech. 242, 655.CrossRefGoogle Scholar
9. Elghobashi, S. & Truesdell, G. C. 1993 On the two-way interaction between homogeneous turbulence and the dispersed solid particles. Part 1. Turbulence modification. Phys. Fluids A 5, 1790.CrossRefGoogle Scholar
10. Fessler, J. R., Kulick, J. D. & Eaton, J. K. 1994 Preferential concentration of heavy particles in a turbulent channel flow. Phys. Fluids 6, 37423749.CrossRefGoogle Scholar
11. Fevrier, P., Simonin, O. & Squires, K. D. 2005 Partitioning of the particle velocities in gas–solid turbulent flows into a continuous field and a spatially uncorrelated random distribution: theoretical formalism and numerical study. J. Fluid Mech. 533, 146.CrossRefGoogle Scholar
12. Fouxon, I. & Horvai, P. 2008 Separation of heavy particles in turbulence. Phys. Rev. Lett. 100, 040601.CrossRefGoogle ScholarPubMed
13. Gerashchenko, S., Sharp, N. S., Neuscamman, S. & Warhaft, Z. 2008 Lagrangian measurements of inertial particle accelerations in a turbulent boundary layer. J. Fluid Mech. 617, 255281.CrossRefGoogle Scholar
14. Gibson, J. F. 2007 Channelflow: A Spectral Navier–Stokes Simulator in C++. Georgia Institute of Technology.Google Scholar
15. Gore, R. A. & Crowe, C. T. 1989 Effect of particle size on modulating turbulent intensity. Intl J. Multiphase Flow 15, 279.CrossRefGoogle Scholar
16. Goswami, P. S. & Kumaran, V. 2010a Particle dynamics in a turbulent particle–gas suspension at high Stokes number. Part 1. Velocity and acceleration distributions. J. Fluid Mech. 646, 5990.CrossRefGoogle Scholar
17. Goswami, P. S. & Kumaran, V. 2010b Particle dynamics in a turbulent particle–gas suspension at high Stokes number. Part 2. The fluctuating force model. J. Fluid Mech. 646, 91125.CrossRefGoogle Scholar
18. Goswami, P. S. & Kumaran, V. 2011 Particle dynamics in the channel flow of a turbulent particle–gas suspension at high Stokes number. Part 2. Comparison of fluctuating force simulations and experiments. J. Fluid Mech. 687, 4171.CrossRefGoogle Scholar
19. Khalitov, D. A. & Longmire, E. K. 2003 Effect of particle size on the velocity correlations in turbulent channel flow. FEDSM200345730, 445, ASME/JSME Joint Fluid Engineering Conference Honolulu, 2003.Google Scholar
20. Kim, J., Moin, P. & Moser, R. 1987 Turbulence statistics in fully developed channel flow at low Reynolds number. J. Fluid Mech. 177, 133166.CrossRefGoogle Scholar
21. Kleiser, L. & Schumann, U. 1980 Treatment of incompressibility and boundary conditions in 3D numerical spectral simulations of plane channel flows. In Proceedings of the 3rd GAMM Conference on Numerical Methods in Fluid Mechanics, vol. 2 (ed. Hirschel, E. H. ). pp. 165173.CrossRefGoogle Scholar
22. Kraichnan, R. H. 1958 Irreversible statistical mechanics of incompressible hydromagnetic turbulence. Phys. Rev. 109, 14071422.CrossRefGoogle Scholar
23. Kulick, J. D., Fessler, J. R. & Eaton, J. K. 1994 Particle response and turbulence modification in a fully developed channel flow. J. Fluid Mech. 277, 109134.CrossRefGoogle Scholar
24. Kumaran, V. 2003 Stability of a sheared particle suspension. Phys. Fluids 15, 36253637.CrossRefGoogle Scholar
25. Lavezzo, V., Soldati, A., Gerashchenko, S., Warhaft, Z. & Collins, L. R. 2010 On the role of gravity and shear on inertial particle accelerations in near-wall turbulence. J. Fluid Mech. 658, 229246.CrossRefGoogle Scholar
26. Li, Y. & McLaughlin, J. B. 2001 Numerical simulation of particle-laden turbulent channel flow. Phys. Fluids 13, 2957.CrossRefGoogle Scholar
27. Maxey, M. R. & Riley, J. J. 1983 Equation of motion for a small rigid sphere in a non-uniform flow. Phys. Fluids 26, 883.CrossRefGoogle Scholar
28. Riley, J. J. & Patterson, G. S. 1974 Diffusion experiments with numerically integrated isotropic turbulence. Phys. Fluids 17, 292.CrossRefGoogle Scholar
29. Rouson, D. W. I. & Eaton, J. K. 2001 On the preferential concentration of solid particles in turbulent channel flow. J. Fluid Mech. 428, 149.CrossRefGoogle Scholar
30. Squires, K. D. & Eaton, J. K. 1990 Particle response and turbulence modification in isotropic turbulence. Phys. Fluids A 2, 1191.CrossRefGoogle Scholar
31. Squires, K. D. & Eaton, J. K. 1991 Preferential concentration of particles by turbulence. Phys. Fluids A 3, 1169.CrossRefGoogle Scholar
32. Tanaka, T. & Eaton, J. K. 2008 Classification of turbulence modification by dispersed spheres using a novel dimensionless number. Phys. Rev. Lett. 101, 114502.CrossRefGoogle ScholarPubMed
33. Tsao, H.-K. & Koch, D. L. 1995 Shear flows of a dilute gas–solid suspension. J. Fluid Mech. 296, 211245.CrossRefGoogle Scholar
34. Yamamoto, Y., Potthoff, M., Tanaka, T., Kajishima, T. & Tsuji, Y. 2001 Large-eddy simulation of turbulent gas–particle flow in a vertical channel: effect of considering interparticle collisions. J. Fluid Mech. 442, 303334.CrossRefGoogle Scholar