Design Rules for the Taylor‐Couette Disc Contactor

Grafschafter, Annika; Siebenhofer, Matthäus

doi:10.1002/cite.201600142

Cited by 7 publications

(16 citation statements)

References 10 publications

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“…The experimentally obtained d 32 data of the TCDC300 were compared with the correlation proposed in (Eq. ) and the parameters for 0.3‐m scale were adjusted (Tab.…”

Section: Resultsmentioning

confidence: 99%

“…At 450 and 500 rpm the TCDC100 shows same d 32 values as observed in the TCDC300 at 121 to 242 rpm. The experimentally obtained d 32 data of the TCDC300 were compared with the correlation proposed in [4] (Eq. (5)) and the parameters for 0.3-m scale were adjusted (Tab.…”

Section: Effect Of Hydraulic Loadmentioning

confidence: 96%

“…Holdup results of TCDC100 experiments [4] were extended, with a specific focus on the influence of the phase ratio on the holdup. The holdup in the TCDC100 was measured at two different total hydraulic loads B (20 and 35 m 3 m -2 h -1 ), varying phase ratios w/o (0.5, 0.67, 1, 1.5, 2) and varying rate of rotation (0, 100, 200, 300, 400, 450, 500, 550 rpm, up to flooding limits).…”

Section: Holdupmentioning

confidence: 99%

“…DSD investigation in the TCDC300 was performed for varying total hydraulic load (10, 15, 20, and 25 m 3 m −2 h −1 ) with constant phase ratio of aqueous phase to solvent phase w/o = 1 and varying rate of rotation (121, 170, 218, 242 and 280 rpm). The results were compared with DSD data in the TCDC100 , . The column start‐up was investigated for the TCDC300 by recording d 32 from t start = 0 min to t end = 115 min.…”

Section: Experimental Setup and Proceduresmentioning

confidence: 99%

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Hydraulics and Operation Performance of TCDC‐Extractors

Grafschafter

Rudelstorfer

Siebenhofer

2018

Chemie Ingenieur Technik

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The Taylor‐Couette disc contactor (TCDC) uses the hydrodynamic advantages of the rotating disc contactor (RDC) and Taylor‐Couette reactor. Drop size distribution, dispersed phase holdup and residence time distribution (RTD) of the TCDC in 0.1 m and 0.3 m diameter scale were determined. A correlation for the prediction of the Sauer mean diameter was validated experimentally for 0.3‐m scale. Analysis of RTD suggests application of the tank‐in‐series model. The number of vessels in series rises with increasing hydraulic load and decrease with increasing rate of rotation. The axial dispersion coefficient was determined in order to evaluate backmixing.

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“…The experimentally obtained d 32 data of the TCDC300 were compared with the correlation proposed in (Eq. ) and the parameters for 0.3‐m scale were adjusted (Tab.…”

Section: Resultsmentioning

confidence: 99%

Section: Effect Of Hydraulic Loadmentioning

confidence: 96%

Section: Holdupmentioning

confidence: 99%

Section: Experimental Setup and Proceduresmentioning

confidence: 99%

See 2 more Smart Citations

Hydraulics and Operation Performance of TCDC‐Extractors

Grafschafter

Rudelstorfer

Siebenhofer

2018

Chemie Ingenieur Technik

Self Cite

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“…The pattern matching approach from SOPAT has been shown to work very precisely even on overlapping particles and for characterization of the size for air bubbles and dispersed droplets. [37][38][39][40][41][42][43] The object recognition consists of three steps: Pattern recognition by correlation of prefiltered gradients with search pattern, the preselection of plausible circles and the classification of each of those circles by an exact edge examination. The software uses a normalized cross correlation procedure algorithm to evaluate possible object matches.…”

Section: Pattern Matching-user Defined Spherical Particlesmentioning

confidence: 99%

Application of inline imaging for monitoring crystallization process in a continuous oscillatory baffled crystallizer

Kacker

Maaß²,

Emmerich³

et al. 2018

AIChE Journal

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In this study, an in situ imaging system has been analysed to characterize the crystal size, the shape and the number of particles during a continuous crystallization process in a Continuous Oscillatory Baffled Crystallizer (COBC). Two image analysis approaches were examined for particle characterization in the suspension containing both small nuclei and larger grown crystals (nonspherical and irregular in shape). The pattern matching approach, in which the particles are approximated to be spherical, did result in an overestimation of the size. Alternatively, a segmentation‐based algorithm resulted in reliable crystal size and shape characteristics. The laser diffraction analysis in comparison to the image analysis overestimated the particle sizes due to the agglomeration of particles upon filtration and drying. The trend in the particle counts during the start of crystallization process, including nucleation, determined by the image analysis probe was comparable with the one measured by FBRM, highlighting the potential of in situ imaging for process monitoring. © 2018 American Institute of Chemical Engineers AIChE J, 64: 2450–2461, 2018

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Taylor‐Couette reactor: Principles, design, and applications

et al. 2021

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The Taylor-Couette reactor (TCR) is an apparatus that capitalizes on the Taylor-Couette flow, which allows many flow regimes and conditions to perform (bio-)chemical conversions with precise control of various reactor characteristics. With the possibility to continuously perfuse the reactor with a reaction medium, the TCR becomes interesting for chemical engineering applications. In this review we introduce this reactor type and provide an overview of its history, principles of the flow regimes, and a description and design aspects of the reactors and their elements. Available information in the literature is summarized and harmonized to present available formulas and correlations in a consistent set of variables. Additionally, a wide number of applications in process technology is covered, including reactions in homogeneous, photo and enzymatic catalysis, polymer synthesis, and crystallization and aggregation-flocculation processes. Focusing on this reactor configuration, this article intends to be used as a hub for scientific groups interested in TCRs. This article has been accepted for publication and undergone full peer review but has not been through the copyediting, typesetting, pagination and proofreading process which may lead to differences between this version and the Version of Record. Please cite this article as

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Design Rules for the Taylor‐Couette Disc Contactor

Cited by 7 publications

References 10 publications

Hydraulics and Operation Performance of TCDC‐Extractors

Hydraulics and Operation Performance of TCDC‐Extractors

Application of inline imaging for monitoring crystallization process in a continuous oscillatory baffled crystallizer

Taylor‐Couette reactor: Principles, design, and applications

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