Unified stability condition for particulate and aggregative fluidization-Exploring energy dissipation with direct numerical simulation

Fully resolved simulations of particulate and aggregative fluidization systems are performed successfully with the so-called combined lattice Boltzmann method and time-driven hard-sphere model (LBM-TDHS). In this method, the discrete particle phase is described by time-driven hard-sphere model, and the governing equations of the continuous fluid phase are solved with lattice Boltzmann method. Particle-fluid coupling is implemented by immersed moving boundary method. Time averaged flow structure of the simulated results show the formation of core-annulus structure and sigmoid distribution of voidage in the axial direction, which are typical phenomena in fluidization systems. Combining the results of the simulation, the energy consumption N-st for suspending and transporting solids is calculated from the direct numerical simulation (DNS) of fluidization, and the stability criterion N-st/N-T = min proposed in EMMS/bubbling model is verified numerically. Furthermore the numerical results show that the value of N-st/N-T in particulate fluidization is much higher than that in aggregative fluidization, but N-st/N-T = min is effective for both particulate and aggregative fluidization. (C) 2012 Chinese Society of Particuology and Institute of Process Engineering, Chinese Academy of Sciences. Published by Elsevier B.V. All rights reserved.

[1]  A. Ladd Numerical simulations of particulate suspensions via a discretized Boltzmann equation. Part 2. Numerical results , 1993, Journal of Fluid Mechanics.

[2]  Howard H. Hu Direct simulation of flows of solid-liquid mixtures , 1996 .

[3]  Wei Ge,et al.  Galilean-invariant algorithm coupling immersed moving boundary conditions and Lees-Edwards boundary conditions. , 2011, Physical review. E, Statistical, nonlinear, and soft matter physics.

[4]  Howard H. Hu,et al.  Direct simulation of fluid particle motions , 1992 .

[5]  Jinghai Li,et al.  An experimental comparison of gas backmixing in fluidized beds across the regime spectrum , 1989 .

[6]  Wei Ge,et al.  Direct numerical simulation of sub-grid structures in gas―solid flow: GPU implementation of macro-scale pseudo-particle modeling , 2010 .

[7]  Jinghai Li,et al.  A bubble-based EMMS model for gas-solid bubbling fluidization , 2011 .

[8]  Mu-sun Kuo,et al.  Fluidization : idealized and bubbleless, with applications , 1992 .

[9]  Wei Ge,et al.  Direct numerical simulation of particle-fluid systems by combining time-driven hard-sphere model and lattice Boltzmann method , 2010 .

[10]  Wei Ge,et al.  Macro-scale phenomena reproduced in microscopic systems—pseudo-particle modeling of fluidization , 2003 .

[11]  Jinghai Li,et al.  Multiscale nature of complex fluid-particle systems , 2001 .

[12]  P. M. Heertjes,et al.  Shock waves as a criterion for the transition from homogeneous to heterogeneous fluidization , 1970 .

[13]  Wei Ge,et al.  High-resolution simulation of gas¿solid suspension using macro-scale particle methods , 2006 .

[14]  Wei Ge,et al.  Large-scale DNS of gas-solid flows on Mole-8.5 , 2010, 1011.2613.

[15]  Zanetti,et al.  Use of the Boltzmann equation to simulate lattice gas automata. , 1988, Physical review letters.

[16]  Jinfu Wang,et al.  Radial profile of the solid fraction in a liquid-solid circulating fluidized bed , 2003 .

[17]  Dejin Liu,et al.  Aggregative and particulate fluidization—The two extremes of a continuous spectrum , 1996 .

[18]  Wei Ge,et al.  Simulation of heterogeneous structures and analysis of energy consumption in particle–fluid systems with pseudo-particle modeling , 2005 .

[19]  Jinghai Li,et al.  Energy Transport and Regime Transition in Particle-Fluid Two-Phase Flow , 1988 .

[20]  Y. Qian,et al.  Lattice BGK Models for Navier-Stokes Equation , 1992 .

[21]  Jinghai Li,et al.  Axial Voidage Profiles of Fast Fluidized Beds in Different Operating Regions , 1988 .

[22]  Jinghai Li,et al.  Particulate and aggregative fluidization - 50 years in retrospect , 2000 .

[23]  John R. Williams,et al.  A direct simulation method for particle‐fluid systems , 2003 .

[24]  L. G. Gibilaro,et al.  A fully predictive criterion for the transition between particulate and aggregate fluidization , 1984 .

[25]  Wei Ge,et al.  Meso-scale oriented simulation towards virtual process engineering (VPE)-The EMMS Paradigm , 2011 .

[26]  A. Ladd Numerical simulations of particulate suspensions via a discretized Boltzmann equation. Part 1. Theoretical foundation , 1993, Journal of Fluid Mechanics.

[27]  Kakichi Hirai,et al.  Fluidization of Solid Particles , 1953 .

[28]  J. R. Torczynski,et al.  A Lattice-Boltzmann Method for Partially Saturated Computational Cells , 1998 .

[29]  Wei Ge,et al.  A new wall boundary condition in particle methods , 2006, Comput. Phys. Commun..

[30]  M. Louge,et al.  Inelastic microstructure in rapid granular flows of smooth disks , 1991 .

[31]  Jinghai Li,et al.  Particle-motion-resolved discrete model for simulating gas–solid fluidization , 1999 .