Validation of an improved two-fluid model with particle rotation for gas-solid fluidized bed
Source abstract
Abstract
Gas-solid fluidized beds are widely applied in chemical and process engineering. It is of significance to establish a reasonable and effective mathematical model to explore the hydrodynamics of gas-particle system for industrial applications. As a less computationally demanding alternative to the discrete descriptions, two-fluid model considering kinetic theory of granular flow is often adopted to describe the fluidized behaviors of particles, but it cannot characterize the rotation of particles and its influence on the fluidized behaviors. In this study, to address the rotation effect of the fluidized particles, a two-fluid model combining the classical fluid and micropolar fluid is established, namely CMTFM. In the CMTFM, classical fluid is used to describe the motion of gas phase, while micropolar fluid is adopted to describe the motion of particle phase, and the rotation of particles and its influence on the hydrodynamics of the gas-particle system are characterized by the degree of freedom of microrotation and the improved drag force based on micropolar viscosities. In the calculation of the gas-solid bubbling fluidized bed, we investigated the influence of the microstructure parameters, particle-particle collision restitution coefficient and inlet velocity, and the results are compared to those from TFM model and experiments. Through the analysis, it manifests that pressure drop and expansion height of the fluidized bed under the consideration of the microrotation effect are closer to the experiments, which demonstrates the feasibility and advantage of the classical-micropolar two-fluid model.
Source: expertdata · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Granular flow and fluidized beds · Particle Dynamics in Fluid Flows · Fluid Dynamics Simulations and Interactions
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (42)
Show source-provided references
1. A comparative study on the influence of the gas flow rate on the hydrodynamics of a gas–solid spouted fluidized bed using Euler–Euler and Euler–Lagrange/DEM models10.1016/j.powtec.2014.05.024 ↗
2. A fluid mechanical description of fluidized beds-equation of motion10.1021/i160024a007 ↗
3. Micropolar fluid model for blood flow through a stenosed artery10.1142/S1758825113500439 ↗
4. The stress tensor in a two-dimensional granular shear flow10.1017/S0022112086002495 ↗
5. Numerical simulation of particulate flow by the Eulerian–Lagrangian and the Eulerian–Eulerian approach with application to a fluidized bed10.1016/j.compchemeng.2004.09.002 ↗
6. CFD modelling of a liquid–solid fluidized bed10.1016/j.ces.2007.07.014 ↗
7. On the partial difference equations of mathematical physics10.1007/BF01448839 ↗
8. A discrete numerical model for granular assemblies10.1680/geot.1979.29.1.47 ↗
9. Theory of micropolar fluids
10. Gidaspow · 1994
11. Gidaspow · 1992
12. Hydrodynamic modelling of dense gas-fluidised beds: Comparison and validation of 3D discrete particle and continuum models10.1016/j.powtec.2004.02.020 ↗
13. Drag on spheres in micropolar fluids with non-zero boundary conditions for microrotations10.1017/S0022112007008099 ↗
14. Solution of the implicitly discretised fluid flow equations by operator-splitting10.1016/0021-9991(86)90099-9 ↗
15. Frictional–collisional constitutive relations for granular materials, with application to plane shearing10.1017/S0022112087000570 ↗
16. A numerical model of gas-fluidized beds10.1016/0009-2509(92)80309-Z ↗
17. Li · 1987
18. Focusing on mesoscales: From the energy-minimization multiscale model to mesoscience10.1016/j.coche.2016.07.008 ↗
19. Li · 1994
20. Multiscale nature of complex fluid-particle systems10.1021/ie0011021 ↗
21. Exploring complex systems in chemical engineering—the multi-scale methodology10.1016/S0009-2509(02)00577-8 ↗
22. Flow regimes in a spout–fluid bed: A combined experimental and simulation study10.1016/j.ces.2005.01.027 ↗
23. Voidage profiles in magnetically fluidized beds10.1016/S0032-5910(01)00271-6 ↗
24. Comparison of two-fluid and discrete particle modeling of gas-particle flows in micro fluidized beds10.1016/j.powtec.2018.06.039 ↗
25. Dissipative structure in concurrent-up gas-solid flow10.1016/S0009-2509(98)00130-4 ↗
26. Lukaszewicz · 1999
27. Kinetic theories for granular flow: Inelastic particles in Couette flow and slightly inelastic particles in a general flowfield10.1017/S0022112084000586 ↗
28. Experimental investigation of monodisperse solids drying in a gas-fluidized bed10.1016/j.ces.2022.117783 ↗
29. Numerical aspects of an algorithm for the Eulerian simulation of two-phase flows10.1002/fld.508 ↗
30. A calculation procedure for heat, mass and momentum transfer in three-dimensional parabolic flows10.1016/0017-9310(72)90054-3 ↗
31. Influence of void fraction calculation on fidelity of CFD-DEM simulation of gas-solid bubbling fluidized beds10.1002/aic.14421 ↗
32. Lubrication theory for micropolar fluids and its application to a journal bearing10.1016/0020-7225(75)90031-2 ↗
33. Large-scale discrete element modeling in pneumatic conveying10.1016/j.ces.2008.10.003 ↗
34. Computational modeling of gas/particle flow in a riser10.1002/aic.690420605 ↗
35. Instability in the evolution equations describing incompressible granular flow10.1016/0022-0396(87)90038-6 ↗
36. Theoretical effects of rigid particle additives in non-cyclic squeeze films10.1115/1.3254519 ↗
37. Experimental and computational study of gas–solid fluidized bed hydrodynamics10.1016/j.ces.2005.05.044 ↗
38. Discrete particle simulation of two-dimensional fluidized bed10.1016/0032-5910(93)85010-7 ↗
39. An extended CFD-DEM model based on micropolar fluid and its application in geological engineering10.1016/j.compgeo.2022.105133 ↗
40. Hydrodynamics study of the flow past a cylinder with fine suspensions and evaluation of micropolar parameters10.1016/j.ijmultiphaseflow.2021.103832 ↗
41. Numerical analysis of journal bearings lubricated with micropolar fluids including thermal and cavitating effects10.1016/j.triboint.2005.01.028 ↗
42. Multi-fluid CFD modeling of biomass gasification in polydisperse fluidized-bed gasifiers10.1016/j.powtec.2014.01.025 ↗