Characterization of liquid phase mixing in turbulent bed contactor through RTD studies

Bruce, A.E.R.; Sai, P. S. T.; Krishnaiah, K.

doi:10.1016/j.cej.2004.06.005

Cited by 5 publications

(7 citation statements)

References 8 publications

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“…Increasing the convection transport, as characterized by the liquid superficial velocity, will increase the intensity of dispersion. Similar observations were reported by several researchers based on the RTD in different kinds of contactors such as the turbulent bed contactor,25, 26 co‐current down flow bubble column27 and oscillatory‐flow (pulsed sieve plate column) continuous reactor,28 and two phase reciprocating plate columns 29, 30. According to Ni and Pereira,31 the liquid flow rate contributes to increasing D ax through the increase of mechanical energy dissipation, due to the presence of perforated plates.…”

Section: Resultssupporting

confidence: 80%

Mixing and solid‐liquid mass transfer characteristics in a three phase pulsed plate column with packed bed of solids in interplate spaces—a novel aerobic immobilized cell bioreactor

Kodialbail

Srinikethan

2011

J of Chemical Tech & Biotech

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BACKGROUND: The pulsed plate column (PPC) with packed bed of solids in the interplate spaces finds use as a three phase aerobic bioreactor and is a potential heterogeneous catalytic reactor. Good knowledge of the extent of mixing in the liquid phase and solid-liquid mass transfer coefficient are essential for modeling, design and optimization of these columns. The present work aims at the study of liquid phase mixing and solid-liquid mass transfer characteristics in a three phase PPC.

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Section: Resultssupporting

confidence: 80%

Mixing and solid‐liquid mass transfer characteristics in a three phase pulsed plate column with packed bed of solids in interplate spaces—a novel aerobic immobilized cell bioreactor

Kodialbail

Srinikethan

2011

J of Chemical Tech & Biotech

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“…The axial dispersion coefficient and Peclet number are obtained following the deconvolution procedure described by Bruce et al (2004a). Bruce et al (2003) derived the following equations for general (Eq.…”

Section: Resultsmentioning

confidence: 99%

“…1 (Bruce et al, 2004b). The experimental procedure employed was described elsewhere (Bruce et al, 2004a).…”

Section: Methodsmentioning

confidence: 99%

“…Bruce et al (2003) studied the axial mixing of the liquid phase in TBC covering a wide range of variables such as flow rate of gas and liquid phases, static bed heights, diameter and density of particles and number of stages in presence of downcomer. They extended their study (Bruce et al, 2004a) to system without downcomer by employing a novel technique to obtain the true exit tracer concentration.…”

Section: Introductionmentioning

confidence: 99%

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Estimation of liquid phase mixing due to solids in a turbulent bed contactor

Bruce

Vinay

Sai

et al. 2006

Chemical Engineering Science

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“…Kuu (Kuu 1992) used a numerical deconvolution method with Powell's non-linear least-squares algorithm to search for values of dispersion coefficients of solute molecules in a drug delivery system. Bruce (Bruce, Sai et al 2004) experimentally measured the RTD in a turbulent bed contactor in series with an ideal Mixed Flow Tank. The RTD of the ideal mixed flow tank was deconvoluted from the RTD of the entire system to obtain the RTD of turbulent bed contactor alone as a function of Peclet number and mean residence time of an axial dispersion model; optimal values were found using a Matlab-based least squares function.…”

Section: Introductionmentioning

confidence: 99%

Bayesian Deconvolution of Vessel Residence Time Distribution

Huddle

Langston

Lester

2017

International Journal of Chemical Reactor Engineering

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Residence time distribution (RTD) within vessels is a critical aspect for the design and operation of continuous flow technologies, such as hydrothermal synthesis of nanomaterials. RTD affects product characteristics, such as particle size distribution. Tracer techniques allow measurement of RTD, but often cannot be used on an individual vessel in multiple vessel systems due to unsuitable exit flow conditions. However, RTD can be measured indirectly by removal of this vessel from the system and deconvoluting the resulting detected tracer profile from the original trace of the entire system. This paper presents three models for deconvolution of RTD: BAY an application of the Lucy-Richardson iterative algorithm using Bayes’ Theorem, LSQ an adaptation of a least squares error approach and FFT a Fast Fourier Transform. These techniques do not require any assumption about the form of the RTD. The three models are all accurate in theoretical tests with no simulated measurement error. For scenarios with simulated measurement error in the convoluted distribution, the FFT and BAY models are both very accurate. The LSQ model is the least suitable and the output is very noisy; smoothing functions can produce smooth curves, but the resulting RTD is less accurate than the other models. In experimental tests the BAY and FFT models produce near identical results which are very accurate. Both models run quickly, but in real time control the runtime for BAY would have to be considered further. BAY does not require any filtering or smoothing here, and so potentially there are applications where it might be more useful than FFT.

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Characterization of liquid phase mixing in turbulent bed contactor through RTD studies

Cited by 5 publications

References 8 publications

Mixing and solid‐liquid mass transfer characteristics in a three phase pulsed plate column with packed bed of solids in interplate spaces—a novel aerobic immobilized cell bioreactor

Mixing and solid‐liquid mass transfer characteristics in a three phase pulsed plate column with packed bed of solids in interplate spaces—a novel aerobic immobilized cell bioreactor

Estimation of liquid phase mixing due to solids in a turbulent bed contactor

Bayesian Deconvolution of Vessel Residence Time Distribution

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