Abstract
Fluidized bed reactors have been extensively employed in processing industries as it provides perfect mixing, efficient operation, and large heat and mass transfer rates. Understanding the particle–fluid interaction inside the bed is a significant parameter for the effective operation of the fluidized bed. This work aims to study the effect of the turbulence model on the mean solids volume fraction and mean flow field at different operating parameters (static bed height, inlet velocity). In the current numerical study, the unsteady multiphase simulations are performed in a three-dimensional fluidized bed (Gao et al. 2012) using the two-fluid model (TFM) with the kinetic theory of granular flow (KTGF) option. k-ℇ is selected to model the turbulence. Gidaspow, Syamlal and O’Brien and energy minimization multiscale (EMMS) drag models are considered for modeling the interphase momentum exchange coefficient. The three-dimensional models could capture the flow behavior inside the turbulent fluidized bed. The numerically predicted time-averaged solid volume fraction fits well with the experimental data at the center compared to the wall using the incorporation of EMMS drag with the k-ℇ turbulence model. Similar to the experiments, a dense region is observed with descending particles near the wall and the dilute region near the center portion of the bed. It can be noted that close numerical predictions can be obtained using the selection of an appropriate drag model and turbulence model.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
Abbreviations
- C1ε, C2ε, C3ε [-]:
-
Model constant
- Cd[-]:
-
Drag coefficient
- dp[m]:
-
Particle diameter
- e[-]:
-
Restitution coefficient
- g[m s-2]:
-
Acceleration due to gravity
- g0[-]:
-
Radial distribution coefficient
- H[m]:
-
Axial position
- H0[m]:
-
Static bed height
- I[-]:
-
Stress tensor
- Jvis[W]:
-
Dissipation rate due to viscous damping
- Jslip[W]:
-
Generation rate due to viscous damping
- k[J kg-1]:
-
Turbulent kinetic energy
- ks[kg m-1s-1]:
-
Diffusion coefficient for granular energy
- P[Pa]:
-
Pressure
- Rep[-]:
-
Reynolds number of particle
- Ug[m s-1]:
-
Superficial gas velocity
- u[m s-1]:
-
Velocity
- α [-]:
-
Volume fraction
- β [kg m-3s-1]:
-
Interphase momentum transfer coefficient
- γ[kg m-1s-3]:
-
Collisional energy dissipation
- λ[kg m-1s-1]:
-
Bulk viscosity
- µ[kg m-1s-1]:
-
Shear viscosity
- ρ[kg m-3]:
-
Density
- τ [Pa]:
-
Stress tensor
- Θ [m2s-2]:
-
Granular temperature
References
Rüdisüli, M., Schildhauer, T.J., Biollaz, S.M.,van Ommen, J.R.J.P.T.: Scale-up of bubbling fluidized bed reactors—A review. Powder Technology 217, 21–38 (2012)
Daizo, K., Levenspiel, O.: Fluidization engineering, 2nd edn. Butterworth Publishers, United States (1991)
Drake, J.: Hydrodynamic characterization of 3D fluidized beds using noninvasive techniques. Graduate Theses and Dissertations. Iowa State University (2011)
Ellis, N., Bi, H.T., Lim, J., Grace, J.: Hydrodynamics of Turbulent Fluidized Beds of Different Diameters. Powder Technol. 141, 124–136 (2004)
Mostoufi, N., Chaouki, J.: Local Solid Mixing in Gas-Solid Fluidized Beds. Powder Technol. 114, 23–31 (2001)
Zhou, L., Zhang, L., Bai, L., Shi, W., Li, W., Wang, C., Agarwal, R.: Experimental study and transient CFD/DEM simulation in a fluidized bed based on different drag models. RSC Adv. 7(21), 12764–12774 (2017)
Gao, X., Wu, C., Cheng, Y.-W., Wang, L.-J., Li, X.: Experimental and numerical investigation of solid behavior in a gas–solid turbulent fluidized bed. Powder Technol. 228, 1–13 (2012)
Sau, D.C., Biswal, K.C.: Computational fluid dynamics and experimental study of the hydrodynamics of a gas–solid tapered fluidized bed. Appl. Math. Model. 35(5), 2265–2278 (2011)
Hamzehei, M.: CFD modeling and simulation of hydrodynamics in a fluidized bed dryer with experimental validation. International Scholarly Research Notices 2011, (2011)
Chang, J., Wu, Z., Wang, X., Liu, W.: Two- and three-dimensional hydrodynamic modeling of a pseudo-2D turbulent fluidized bed with Geldart B particle. Powder Technol. 351, 159–168 (2019)
Wu, Y., Shi, X., Gao, J.,Lan, X.: A four-zone drag model based on cluster for simulating gas-solids flow in turbulent fluidized beds. Chemical Engineering and Processing—Process Intensification 155, 108056 (2020)
Taghipour, F., Ellis, N., Wong, C.: Experimental and computational study of gas–solid fluidized bed hydrodynamics. Chem. Eng. Sci. 60(24), 6857–6867 (2005)
Lundberg, J.,Halvorsen, B.M.: A review of some exsisting drag models describing the interaction between phases in a bubbling fluidized bed. Proc 49th Scandinavian Conference on Simulation and Modeling (SIMS 2008), pp. 7–8. Oslo, Norway (2008)
Li, J., Kwauk, M.: Particle-Fluid Two-Phase Flow: the Energy-Minimization Multi-Scale Method. Metallurgical Industrial Press, Beijing (1994)
Wang, B., Li, T., Sun, Q.-W., Ying, W.-Y., Fang, D.-Y.: Experimental Investigation on Solid Concentration in Gas-Solid Circulating Fluidized Bed for Methanol-to-Olefins Process. Int. J. Chem. Eng. 4(8), 494–500 (2010)
Ullah, A., Jamil, I., Hamid, A., Hong, K.: EMMS mixture model with size distribution for two-fluid simulation of riser flows. Particuology 38, 165–173 (2018)
Shah, M.T., Utikar, R.P., Tade, M.O.,Pareek, V.K.J.C.E.J.: Hydrodynamics of an FCC riser using energy minimization multiscale drag model. Chem. Eng. J. 168 (2), 812–821 (2011)
Shi, H., Komrakova, A., Nikrityuk, P.J.P.T.: Fluidized beds modeling: Validation of 2D and 3D simulations against experiments. Powder Technol. 343, 479–494 (2019)
Varghese, M.M., Vakamalla, T.R., Mantravadi, B., Mangadoddy, N.: Effect of Drag Models on the Numerical Simulations of Bubbling and Turbulent Fluidized Beds. Chem. Eng. Technol. 44(5), 865–874 (2021)
Anderson, T.B.,Jackson, R.: Fluid Mechanical Description of Fluidized Beds. Equations of Motion. Industrial & Engineering Chemistry Fundamentals 6 (4), 527–539 (1967).
Ishii, M.: Thermo-fluid dynamic theory of two-phase flow. Eyrolles, [Paris] (1975).
Van der Hoef, M.A., Ye, M., Van Sint Annaland, M., Andrews, A.T., Sundaresan, S.,Kuipers, J.A.M.: Multiscale Modeling of Gas-Fluidized Beds. Academic Press (2006)
Lun, C.K.K., Savage, S.B., Jeffrey, D.J., Chepurniy, N.: Kinetic theories for granular flow: inelastic particles in Couette flow and slightly inelastic particles in a general flowfield. J. Fluid Mech. 140, 223–256 (1984)
Gidaspow, D.: Multiphase flow and fluidization: continuum and kinetic theory descriptions. Academic press (1994)
Wen, C.Y.: Mechanics of fluidization. Chemical engineering progress symposium series, pp. 100–111. (1966)
Ergun, S.: Fluid flow through packed columns. Chem. Eng. Prog. 48, 89–94 (1952)
Syamlal, M.,O’Brien, T.: The derivation of a drag coefficient formula from velocity-voidage correlations. Technical Note, US Department of energy, Office of Fossil Energy, West Virginia, (1987)
Yang, N., Wang, W., Ge, W., Wang, L.,Li, J.: Simulation of heterogeneous structure in a circulating fluidized-bed riser by combining the two-fluid model with the EMMS approach. Industrial Engineering Chemistry Research 43 (18), 5548–5561 (2004)
Passalacqua, A.,Marmo, L.J.C.E.S.: A critical comparison of frictional stress models applied to the simulation of bubbling fluidized beds. Chemical Engineering Science 64 (12), 2795–2806 (2009)
Loha, C., Chattopadhyay, H., Chatterjee, P.K.: Effect of coefficient of restitution in Euler-Euler CFD simulation of fluidized-bed hydrodynamics. Particuology 15, 170–177 (2014)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2022 The Author(s), under exclusive license to Springer Nature Singapore Pte Ltd.
About this paper
Cite this paper
Varghese, M.M., Vakamalla, T.R. (2022). Effect of Turbulence Model on the Hydrodynamics of Gas–solid Fluidized Bed. In: Bharti, R.P., Gangawane, K.M. (eds) Recent Trends in Fluid Dynamics Research. Lecture Notes in Mechanical Engineering. Springer, Singapore. https://doi.org/10.1007/978-981-16-6928-6_5
Download citation
DOI: https://doi.org/10.1007/978-981-16-6928-6_5
Published:
Publisher Name: Springer, Singapore
Print ISBN: 978-981-16-6927-9
Online ISBN: 978-981-16-6928-6
eBook Packages: EngineeringEngineering (R0)