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Study of hydrodynamic behaviour in bubble columns and external loop airlift reactors through analysis of pressure fluctuations

Identifieur interne : 001110 ( Istex/Corpus ); précédent : 001109; suivant : 001111

Study of hydrodynamic behaviour in bubble columns and external loop airlift reactors through analysis of pressure fluctuations

Auteurs : C. Vial ; E. Camarasa ; S. Poncin ; G. Wild ; N. Midoux ; J. Bouillard

Source :

RBID : ISTEX:D5166F4188FB44206E7B919A844F334C775D097F

English descriptors

Abstract

Abstract: Recent methods of regime identification based on pressure fluctuations analysis have been applied both in a bubble column and an external loop airlift reactor with several spargers. Their ability to determine regime transition and to extract regime features is compared. A new method based on the auto-correlation function is proposed. This method is shown to be simple and efficient. It also provides quantitative information about the characteristic time and the axial dimension of the flow structure in the prevailing regime.

Url:
DOI: 10.1016/S0009-2509(99)00551-5

Links to Exploration step

ISTEX:D5166F4188FB44206E7B919A844F334C775D097F

Le document en format XML

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<div type="abstract" xml:lang="en">Abstract: Recent methods of regime identification based on pressure fluctuations analysis have been applied both in a bubble column and an external loop airlift reactor with several spargers. Their ability to determine regime transition and to extract regime features is compared. A new method based on the auto-correlation function is proposed. This method is shown to be simple and efficient. It also provides quantitative information about the characteristic time and the axial dimension of the flow structure in the prevailing regime.</div>
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<note type="content">Fig. 1: Experimental set-up. (a) Bubble column, (b) external loop airlift.</note>
<note type="content">Fig. 2: Flow regimes in bubble columns. (a) Homogeneous regime, (b) heterogeneous regime.</note>
<note type="content">Fig. 3: Gas hold-up data in the bubble column and in the airlift reactor.</note>
<note type="content">Fig. 4: Characterisation of regime transitions with the drift-flux model. (a) Bubble column, (b) airlift reactor.</note>
<note type="content">Fig. 5: Evolution of the standard deviation of the pressure signal in the bubble column and the airlift reactors.</note>
<note type="content">Fig. 6: Evolution of the Kurtosis of the pressure signal in the bubble column and the airlift reactors.</note>
<note type="content">Fig. 7: Order magnitude of the main characteristic frequencies of the pressure signal in bubble columns (Letzel et al., 1997).</note>
<note type="content">Fig. 8: Typical frequency spectrum in the airlift reactor.</note>
<note type="content">Fig. 9: Power spectral density functions in the bubble column with the single and the multiple-orifice distributor at different UG. (a) Multiple-orifice sparger, (b) single-orifice sparger.</note>
<note type="content">Fig. 10: Example of a (R/S)τ vs. τ curve: estimation of the Hurst exponent.</note>
<note type="content">Fig. 11: Evolution of the Hurst exponent with UG in the bubble column and the airlift reactor.</note>
<note type="content">Fig. 12: Comparison of local fractal dimension estimated using Hurst's analysis and the method of variations.</note>
<note type="content">Fig. 13: Example of a CD vs. r plot in the bubble column: Estimation of Dc.</note>
<note type="content">Fig. 14: Correlation dimension as a function of UG.</note>
<note type="content">Fig. 15: Typical ACF curves in the homogeneous and heterogeneous regimes.</note>
<note type="content">Fig. 16: Comparison of ACF calculated from data and model.</note>
<note type="content">Fig. 17: Evolution of τ0 with UG in both reactors.</note>
<note type="content">Fig. 18: Example of a cross-correlation function in the bubble column (distance between sensors: 10cm).</note>
<note type="content">Fig. 19: Example of transit time and coherence functions.</note>
<note type="content">Fig. 20: Liquid circulation velocity near the wall.</note>
<note type="content">Fig. 21: Analysis of pressure fluctuations in the heterogeneous regime with the short-time Fourier transform.</note>
<note type="content">Table 1: Comparison of the advantages and limitations of the different techniques used in the present work</note>
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<abstract lang="en">Abstract: Recent methods of regime identification based on pressure fluctuations analysis have been applied both in a bubble column and an external loop airlift reactor with several spargers. Their ability to determine regime transition and to extract regime features is compared. A new method based on the auto-correlation function is proposed. This method is shown to be simple and efficient. It also provides quantitative information about the characteristic time and the axial dimension of the flow structure in the prevailing regime.</abstract>
<note type="content">Fig. 1: Experimental set-up. (a) Bubble column, (b) external loop airlift.</note>
<note type="content">Fig. 2: Flow regimes in bubble columns. (a) Homogeneous regime, (b) heterogeneous regime.</note>
<note type="content">Fig. 3: Gas hold-up data in the bubble column and in the airlift reactor.</note>
<note type="content">Fig. 4: Characterisation of regime transitions with the drift-flux model. (a) Bubble column, (b) airlift reactor.</note>
<note type="content">Fig. 5: Evolution of the standard deviation of the pressure signal in the bubble column and the airlift reactors.</note>
<note type="content">Fig. 6: Evolution of the Kurtosis of the pressure signal in the bubble column and the airlift reactors.</note>
<note type="content">Fig. 7: Order magnitude of the main characteristic frequencies of the pressure signal in bubble columns (Letzel et al., 1997).</note>
<note type="content">Fig. 8: Typical frequency spectrum in the airlift reactor.</note>
<note type="content">Fig. 9: Power spectral density functions in the bubble column with the single and the multiple-orifice distributor at different UG. (a) Multiple-orifice sparger, (b) single-orifice sparger.</note>
<note type="content">Fig. 10: Example of a (R/S)τ vs. τ curve: estimation of the Hurst exponent.</note>
<note type="content">Fig. 11: Evolution of the Hurst exponent with UG in the bubble column and the airlift reactor.</note>
<note type="content">Fig. 12: Comparison of local fractal dimension estimated using Hurst's analysis and the method of variations.</note>
<note type="content">Fig. 13: Example of a CD vs. r plot in the bubble column: Estimation of Dc.</note>
<note type="content">Fig. 14: Correlation dimension as a function of UG.</note>
<note type="content">Fig. 15: Typical ACF curves in the homogeneous and heterogeneous regimes.</note>
<note type="content">Fig. 16: Comparison of ACF calculated from data and model.</note>
<note type="content">Fig. 17: Evolution of τ0 with UG in both reactors.</note>
<note type="content">Fig. 18: Example of a cross-correlation function in the bubble column (distance between sensors: 10cm).</note>
<note type="content">Fig. 19: Example of transit time and coherence functions.</note>
<note type="content">Fig. 20: Liquid circulation velocity near the wall.</note>
<note type="content">Fig. 21: Analysis of pressure fluctuations in the heterogeneous regime with the short-time Fourier transform.</note>
<note type="content">Table 1: Comparison of the advantages and limitations of the different techniques used in the present work</note>
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   |étape=   Corpus
   |type=    RBID
   |clé=     ISTEX:D5166F4188FB44206E7B919A844F334C775D097F
   |texte=   Study of hydrodynamic behaviour in bubble columns and external loop airlift reactors through analysis of pressure fluctuations
}}

Wicri

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