Chaotic characteristics of a complex gas-solids flow

Daw, C. Stuart; Lawkins, W.F.; Downing, Donald L.; Clapp, N.E.

doi:10.1103/physreva.41.1179

Cited by 106 publications

(40 citation statements)

References 7 publications

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“…Daw and Halow, 1991;Daw et al, 1990;Fuller et al, 1993;Hay et al, 1995;Skrzycke et al, 1993;Vander Stappen et al, 1993b). Simple hydrodynamic modelling to mimick the chaotic behavior has been done by Daw and Halow (1992) and .…”

Section: Use Of Chaos Analysis For Fluidized Bedsmentioning

confidence: 99%

Scale-up of chaotic fluidized bed hydrodynamics

Schouten

Stappen

Bleek

1996

Chemical Engineering Science

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Section: Use Of Chaos Analysis For Fluidized Bedsmentioning

confidence: 99%

Scale-up of chaotic fluidized bed hydrodynamics

Schouten

Stappen

Bleek

1996

Chemical Engineering Science

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“…As the dynamical behaviour characterizing those systems is complex, it is necessary to monitor different bed properties continuously. As an example of that dynamical complexity, it has been shown that, depending on the operational condition, FB can exhibit dynamical chaotic features (Daw et al, 1990;Schouten and van den Bleek, 1992), which can be used, for instance, to predict malfunctioning (van Ommen et al, 2000(van Ommen et al, , 2004.…”

Section: Introductionmentioning

confidence: 99%

Can low frequency accelerometry replace pressure measurements for monitoring gas-solid fluidized beds?

Martín

Briongos

Aragón

et al. 2010

Chemical Engineering Science

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a b s t r a c tThis paper is addressed to introduce a methodology based on low frequency accelerometry that can be used for gas solid fluidized bed monitoring, and for dynamic diagnosis purposes. The proposed methodology consists on extracting the low frequency information encoded within an accelerometry signal, by means of the Hilbert transform method. The time and the frequency domain analysis show how this low frequency information is directly related to the conventional pressure fluctuation measurements, providing useful information on bulk and bubble dynamics. The cross correlation and the coherence function analysis between the pressure and the envelope process of the measured accelerometer signals ''E'', exhibit values approaching unity for frequencies ranging between 2 and 4 Hz. This reveals that pressure signals and accelerometry envelope are related processes. The results from the Coherent Output Power, COP, and the Incoherent Output Power, IOP, analysis confirms that both pressure and envelope time series exhibit the same global and local features open the possibility of using low frequency accelerometers instead of conventional pressure transducers for monitoring and for dynamic diagnosis purposes.

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“…, Schouten et al (1996), Daw et al (1990) and Daw and Halow (1991) used the pressure signal to calculate chaotic invariants that characterize the system. Examples of such invariants are correlation dimension and Kolmogorov entropy.…”

Section: Introductionmentioning

confidence: 99%