Characterization of gas–liquid–solid fluidized beds by S statistics
Source abstract
Abstract
The hydrodynamics of a gas–liquid–solid fluidized bed was investigated by applying the S statistics method to pressure fluctuations measured under various operating conditions in a laboratory-scale bed. S statistics tests reveal the existence of three transition velocities, especially at low gas velocities. Four distinct fluidization regimes, namely, the compacted bed, agitated bed and coalesced and discrete bubble regimes were detected. A comparison of reconstructed attractors of pressure fluctuations measured at different axial positions along the riser and with various solid loadings showed significant differences in the signals compared before fluidization, especially at minimum liquid agitation velocity. Close to the minimum liquid fluidization velocity and high liquid velocities, the variation in particle size has an insignificant effect on the bed hydrodynamics. Therefore, S statistics is a reliable method to demarcate different fluidization regimes and to characterize the influence of various operating conditions on the hydrodynamics of gas–liquid–solid fluidized beds. The method is applicable in large-scale industrial installations to detect dynamic changes within a bed, such as regime transitions or agglomeration.
Source: openaire · Quality: candidate unverified · Source record ↗
Research context
OpenAlex topics: Granular flow and fluidized beds · Fluid Dynamics and Mixing · Polysaccharides Composition and Applications
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
References (40)
Show source-provided references
1. Addison · 1997
2. Clustering behavior of solid particles in two-dimensional liquid–solid fluidized-beds10.1016/j.cpart.2007.07.001 ↗
3. Dominant flow structures in gas–solid fluidized beds using time and frequency domains analyses10.1080/02726351.2014.911787 ↗
4. Dominant flow structures in gas–liquid–solid fluidized beds10.1002/cjce.22143 ↗
5. Control and optimization of a three-phase catalytic slurry intensified continuous chemical reactor10.1016/j.jprocont.2010.03.002 ↗
6. Some hydrodynamic aspects of 3-phase inverse fluidized bed10.1016/j.cpart.2007.06.002 ↗
7. A critical review of the complex pressure fluctuation phenomenon in gas–solids fluidized beds10.1016/j.ces.2006.12.092 ↗
8. Minimum liquid fluidization velocity in gas–liquid–solid fluidized beds10.1002/aic.690430507 ↗
9. Hydrodynamics of three-phase fluidized bed systems examined by statistical, fractal, chaos and wavelet analysis methods10.1016/j.ces.2005.04.005 ↗
10. Chaplin · 2005
11. Hydrodynamics of cocurrent gas–liquid–solid semifluidization with a liquid as the continuous phase10.1002/aic.690300218 ↗
12. Hydrodynamics of a three-phase fluidized bed – The inverse turbulent bed10.1016/S0009-2509(97)00240-6 ↗
13. Detecting differences between delay vector distributions10.1103/PhysRevE.53.2169 ↗
14. Fan · 1989
15. Classifying flow regimes in three-phase fluidized beds from CARPT experiments10.1016/j.ces.2007.08.039 ↗
16. Nonlinear characterization of oil–gas–water three-phase flow in complex networks10.1016/j.ces.2011.03.008 ↗
17. Kantz · 2003 · Vol. 7
18. Bubble-chord length and pressure fluctuations in three-phase fluidized beds10.1021/ie00031a027 ↗
19. Prediction of minimum fluidization velocity in three-phase fluidized-bed reactors10.1021/ie990435z ↗
20. L–S mass transfer in G–L–S countercurrent magnetically stabilized bed with amorphous alloy SRNA-4 catalyst10.1016/j.cpart.2007.01.009 ↗
21. High-pressure three-phase fluidization: Hydrodynamics and heat transfer10.1002/aic.690431007 ↗
22. Experimental, statistical and stochastic studies of pressure fluctuations in a three-phase fluidized bed with a moderately large diameter10.1007/BF02697196 ↗
23. Estimation of the dimension of a noisy attractor10.1103/PhysRevE.50.1851 ↗
24. Experimental investigation on the hydrodynamics of a gas–liquid–solid fluidized bed using vibration signature and pressure fluctuation analyses10.1016/j.ijheatfluidflow.2013.03.007 ↗
25. Predicting transition velocities from bubbling to turbulent fluidization by S-statistics on vibration signals10.1080/02726351.2011.606876 ↗
26. Monitoring slurry-loop reactors for early detection of hydrodynamic instabilities10.1016/j.cep.2005.01.001 ↗
27. Detecting strange attractors in turbulence
28. Using S-statistic for investigating the effect of temperature on hydrodynamics of gas–solid fluidization10.1016/j.partic.2012.05.007 ↗
29. Origin, propagation and attenuation of pressure waves in gas–solid fluidized beds10.1016/S0032-5910(97)03341-X ↗
30. Early warning of agglomeration in fluidized beds by attractor comparison10.1002/aic.690461111 ↗
31. Regime transition in a gas–liquid–solid fluidized bed10.1016/j.cej.2004.12.035 ↗
32. Early detection of foam formation in bubble columns by attractor comparison10.1002/aic.690490919 ↗
33. Yang · 2003 · Vol. 91
34. Zarghami · 2009
35. Nonlinear characterization of pressure fluctuations in fluidized beds10.1021/ie800460f ↗
36. Nonlinear dynamic characteristic of bubbling fluidization
37. Minimum fluidization velocities for gas–liquid–solid three-phase systems10.1016/S0032-5910(98)00131-4 ↗
38. Flow regime identification in gas–liquid flow and three-phase fluidized beds10.1016/S0009-2509(97)00241-8 ↗
39. Local heat transfer properties in co- and counter-current G–L–S magnetically stabilized fluidized beds10.1016/j.partic.2010.06.002 ↗
40. Minimum fluidization velocity of a three-phase conical fluidized bed in comparison to a cylindrical fluidized bed10.1021/ie8001974 ↗