Investigation on hydrodynamics of gas fluidized bed with bubble size distribution using Energy Minimization Multi Scale (EMMS) mixture model

Authors

  • A. Ullah Department of Chemical Engineering, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Islamabad, 45650, Pakistan
  • I. Jamil Department of Chemical Engineering, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Islamabad, 45650, Pakistan
  • S.S.J. Gillani Department of Chemical Engineering, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Islamabad, 45650, Pakistan
  • A. Hamid Department of Chemical Engineering, Pakistan Institute of Engineering & Applied Sciences (PIEAS), Islamabad, 45650, Pakistan
  • K. Sanaullah Department of Chemical Engineering and Energy Sustainability, Faculty of Engineering, University Malaysia Sarawak (UNIMAS)

DOI:

https://doi.org/10.15282/jmes.12.1.2018.12.0306

Keywords:

EMMS; CFD; turbulent bed; fluidization; multiphase.

Abstract

Modeling of fluidized beds with special focus on mesoscale structures has become prominent area of research in recent years. These efforts have focused on incorporating the effects of bubbles and clusters on the bed hydrodynamics. To account for the effects of these mesoscale bubbles on hydrodynamics of gas fluidized beds, appropriate subgrid models are required. Energy Minimization Multiscale Modeling (EMMS) is one of the promising approaches available to this end. Present work focuses on development of an EMMS modeling approach where a bubble size distribution has been considered. In this work, bubble based EMMS mixture model developed earlier by same team has been modified. To consider the distribution, user defined values of minimum (db,min) and maximum diameter (db,max) are specified. As a first test case, a uniform bubble size distribution was followed. Due to the distribution, drag force was considered to comprise of contribution from each size group. The mathematical form of the objective function describing the energy for suspension and transport has not been altered. The heterogeneity index (Hd) from this new drag modification is used for simulation of turbulent fluidized beds with particles from Group A and B. It is shown in present work that this current EMMS model is capable of capturing major hydrodynamic features of fluidized beds.

References

Schneiderbauer S, Puttinger S, Pirker S. Comparative analysis of subgrid drag modifications for dense gas-particle flows in bubbling fluidized beds. AIChE Journal. 2013; 59: 4077–4099.

Wang W, Chen Y. Mesoscale modeling: beyond local equilibrium assumption for multiphase flow. Advances in Chemical Engineering. 2015; 47: 193–277.

Glasser G, Sundaresan S, Kevrekidis L.From bubbles to clusters in fluidized beds. Physical Review Letters. 1998; 81: 1849, 1998.

Anderson K, Sundaresan S, Jackson R.Instabilities and the formation of bubbles in fluidized beds. Journal of Fluid Mechanics. 1995; 303: 327–366.

Kunii D, Levenspiel O. Bubbling bed model. model for flow of gas through a fluidized bed. Industrial & Engineering Chemistry Fundamentals. 1968; 7: 446–452.

Horio M,Kuroki H.Three-dimensional flow visualization of dilutely dispersed solids in bubbling and circulating fluidized beds. Chemical Engineering Science. 1994; 49: 2413–2421.

van Wachem B, Schouten J, Krishna R, Van den Bleek C. Eulerian simulations of bubbling behaviour in gas-solid fluidised beds. Computers & Chemical Engineering. 1998; 22: S299–S306.

Hovmand S, Davidson J, Harrison D. Fluidization. 1971; JF Davidson and D. Harrison edt., Chapter.

Gelderbloom SJ, Gidaspow D Lyczkowski RW.Cfd simulations of bubbling/collapsing fluidized beds for three geldart groups. 2003. AIChE Journal; 49: 844–858.

Mckeen T, Pugsley T.Simulation and experimental validation of a freely bubbling bed of fcc catalyst. Powder Technology. 2003; 129: 139–152.

Song F, Wang W, Hong K, Li J. Unification of emms and tfm: structure-dependent analysis of mass, momentum and energy conservation. Chemical Engineering Science. 2014; 120: 112–116.

Shi Z, Wang W, Li J.A bubble-based emms model for gas–solid bubbling fluidization. Chemical Engineering Science. 2011; 66: 5541–5555.

Ullah A, Wang W, Li J. An emms based mixture model for turbulent fluidization. 11th International Conference on Fluidized Bed Technology Beijing, China. 2014: 267–272.

Ullah A, Hong K, Chilton S, Nimmo W.Bubble-based emms mixture model applied to turbulent fluidization. Powder Technology. 2015; 281:129–137.

Liu X, Jiang Y, Liu C, Wang W, Li J. Hydrodynamic modeling of gas–solid bubbling fluidization based on energy-minimization multiscale (emms) theory. Industrial & Engineering Chemistry Research. 2014; 53: 2800–2810.

Zhou Q, Wang J. Cfd study of mixing and segregation in cfb risers: extension of emms drag model to binary gas–solid flow. Chemical Engineering Science. 2015; 122: 637–651.

Horio M, Nonaka A.A generalized bubble diameter correlation for gas-solid fluidized beds. AIChE Journal. 1987; 33: 1865–1872.

Bi H, Ellis N, Abba I, Grace J.A state-of-the-art review of gas–solid turbulent fluidization. Chemical Engineering Science. 2000; 55: 4789–4825.

Busciglio A, Vella G, Micale G, Rizzuti L.Analysis of the bubbling behaviour of 2d gas solid fluidized beds: Part i. digital image analysis technique. Chemical Engineering Journal. 2008;140: 398–413.

Gao J, Lan X, Fan Y, Chang J, Wang G, Lu C, Xu C. Cfd modeling and validation of the turbulent fluidized bed of fcc particles. AIChE Journal. 2009; 55: 1680–1694.

Gao X, Wu C, Cheng YW, Wang LJ, Li X.Experimental and numerical investigation of solid behavior in a gas–solid turbulent fluidized bed.Powder Technology. 2012; 228: 1–13.

Gao X, Wang LJ, Wu C, Cheng YW, Li X.Steady-state simulation of core-annulus flow in a circulating fluidized bed (cfb) riser. Chemical Engineering Science. 2012; 78: 98–110.

Goldschmidt M, Kuipers J, van Swaaij WPM. Hydrodynamic modelling of dense gas-fluidised beds using the kinetic theory of granular flow: effect of coefficient of restitution on bed dynamics. Chemical Engineering Science. 2001; 56: 571–578.

Published

2018-03-31

How to Cite

[1]
A. Ullah, I. Jamil, S. Gillani, A. Hamid, and K. Sanaullah, “Investigation on hydrodynamics of gas fluidized bed with bubble size distribution using Energy Minimization Multi Scale (EMMS) mixture model ”, J. Mech. Eng. Sci., vol. 12, no. 1, pp. 3451–3460, Mar. 2018.

Similar Articles

<< < 3 4 5 6 7 8 9 > >> 

You may also start an advanced similarity search for this article.