An image analysis system has been developed, capable of determining the size and locations of bubbles or ‘voids’ in a planar gas-fluidized bed. From this, the bubble voidage fraction of the bed (the fraction occupied by bubbles) is calculated. Transfer functions relating this to the gas flowrate into the bed are developed theoretically and show good agreement with those obtained from experiments on the bed. PID and adaptive controllers are then implemented, enabling the bubble voidage fraction to be successfully controlled.
KaartS.SchoutenJ. C.BleekC. M.Improving conversion and selectivity of catalytic reactions in bubbling gas-fluidized bed reactors by control of the nonlinear bubble dynamicsCatalysis Today, 1999, 48, 185–194.
2.
RoweP. N.PartridgeB. A.LyallE.Cloud formation around bubbles in gas fluidized bedsChem. Eng. Sci., 1964, 19, 973–985.
3.
HarrisonD.DavidsonJ. F.On the nature of aggregative and particulate fluidisationTrans. Instn Chem. Eng., 1961, 39, 202–211.
4.
LeeP. L.ChongY. O.LeungL. S.Experimental investigation of the quality control of fluidized bedsPowder Technol. Short Commun., 1986, 46, 77–80.
5.
de KorteR. J.SchoutenJ. C.van den BleekC. M.Controlling bubble coalescence in a fluidized bed model using bubble injectionAIChE J., 2001, 47 (4), 851–861.
6.
MakkawiY. T.WrightP. C.Optimization of data acquisition rate and experiment span for reliable ECT measurement in fluidized bedsMeas. Sci. Technol., 2002, 13 (12), 1831–1841.
HalowJ. S.NicolettiP.Observations of fluidized bed coalescence using capacitance imagingPowder Technol, 1992, 69, 255–277.
9.
SevilleJ. P. K.SimonsS. J. R.BroadbentC. J.ParkerD. J.BeynonT. D. Particle velocities in gas-fluidised beds. In Proceedings of the 1st International Particle Technology Forum, Denver, 1994 (AIChE) 1, 493–498.
10.
SchoutenJ. C.van den BleekC. M.Monitoring the quality of fluidization using the short-term predictability of pressure fluctuationsAIChE J., 1998, 44 (1), 48–60.
11.
ChongY. O.O'DeaD. P.WhiteE. T.LeeP. L.LeungL. S.Control of the quality of fluidization in a tall bed using the variance of pressure fluctuationsPowder Technol., 1987, 53, 237–246.
12.
CroxfordA. J.LimC. N.GilbertsonM. A.HarrisonA. J. L. Dynamics and control of fluidized beds. Fluidization XI, In Proceedings of the 11th International Conference on Fluidisation, Ischia (Naples), Italy, 2004, pp. 475–482, ISBN 0-918902-52-5.
13.
AyalaD.RodríguezJ.AguileraA. Connected component labeling based on the EVM model. In Proceedings of the 18th Spring Conference on Computer Graphics, Budmerice, Slovakia, 2002, pp. 63–71, ISBN 1-58113-608-0.
14.
BrownR. C.BrueE.Resolving dynamical features of fluidized beds from pressure fluctuationsPowder Technol., 2001, 119, 68–80.
15.
BrownR. C.BrueE.Use of pressure fluctuations to validate hydrodynamic similitude in fluidized media: Bubbling bedsPowder Technol., 2001, 119, 117–127.
16.
StotenD. P.The adaptive minimal control synthesis algorithm with integral action. In Proceedings of the IEEE IECON 21st Conference on Industrial Electronics, Control and Instrumentation, Orlando, Florida, 1995, pp. 1646–1651 (IEEE press).
