Pore‐scale simulations of unsteady flow and heat transfer in tubular fixed beds

Magnico, Pierre

doi:10.1002/aic.11806

Cited by 39 publications

(20 citation statements)

References 72 publications

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“…A thermal boundary layer was observed for Re > 120, about d p /8 thick. Magnico (2009) found better agreement with the correlations of Martin and Nilles (1993) for h w and the approach of Zehner–Bauer–Schlünder for k r .…”

Section: Discrete Bed Cfd and Kr–hw Modelsmentioning

confidence: 60%

“…A much more comprehensive study of heat transfer was made by Magnico (2009) who performed unsteady direct numerical simulations (DNS) for N = 5.96 (326 spheres) and N = 7.8 (620 spheres), although to obtain periodic top and bottom conditions a section was duplicated, which has the potential to disturb the packing. The DNS approach limited the flow rates to Re < 160.…”

Section: Discrete Bed Cfd and Kr–hw Modelsmentioning

confidence: 99%

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Small angle X‐ray scattering as a complementary tool for high‐throughput structural studies

et al. 2011

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Structural crystallography and Nuclear Magnetic Resonance (NMR) spectroscopy are the predominant techniques for understanding the biological world on a molecular level. Crystallography is constrained by the ability to form a crystal that diffracts well and NMR is constrained to smaller proteins. While powerful techniques they leave many soluble, purified protein samples structurally uncharacterized. Small Angle X-ray Scattering (SAXS) is a solution technique that provides data on the size and multiple conformations of a sample, and can be used to reconstruct a low resolution molecular envelope of a macromolecule. In this study SAXS has been used in a high-throughput manner on a subset of 28 proteins where structural information is available from crystallographic and/or NMR techniques. These crystallographic and NMR structures were used to validate the accuracy of molecular envelopes reconstructed from SAXS data on a statistical level, to compare and highlight complementary structural information that SAXS provides, and to leverage biological information derived by crystallographers and spectroscopists from their structures. All of the ab initio molecular envelopes calculated from the SAXS data agree well with the available structural information. SAXS is a powerful albeit low-resolution technique that can provide additional structural information in a high-throughput and complementary manner to improve the functional interpretation of high-resolution structures.

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Section: Discrete Bed Cfd and Kr–hw Modelsmentioning

confidence: 60%

Section: Discrete Bed Cfd and Kr–hw Modelsmentioning

confidence: 99%

Small angle X‐ray scattering as a complementary tool for high‐throughput structural studies

et al. 2011

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“…Modelling and simulation involving larger number of spherical particles (236 and 620) were reported by Magnico (2009). They applied Bennett method in which they added one sphere at a time on a basal horizontal plane to synthesize two different packing systems with a tube-to-sphere-diameter ratio of 5.96 and 7.8, respectively.…”

Section: Computational Fluid Dynamics Modellingmentioning

confidence: 99%

Computational Fluid Dynamics-Based Hydrodynamics Studies in Packed Bed Columns: Current Status and Future Directions

Malang

Perumal

Saptoro

2015

International Journal of Chemical Reactor Engineering

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A careful review of the literature reveals that extensive research has been done on the hydrodynamics in packed bed columns using turbulence models. It can be noted that the choice of turbulence model is influenced by the number of phases, type of fluid, Reynolds number range and the type of packing. Thus, comparison of turbulence models for the selection of a suitable model assumes great importance for the better prediction of flow pattern. This is due to the fact that poor prediction of the flow pattern can lead to a limited heat and mass transfer model as the rate of transfer processes in packed bed is governed by the hydrodynamics of the packed bed. The aim of this paper is to give a review of the computational fluid dynamics (CFD)-based hydrodynamics studies of packed bed columns with the primary interest of studying pressure drop and drag coefficient in packed beds. From the literature survey in Science Direct database, more than 48,000 papers related to packed bed columns have been published with more than 3,000 papers focused on the hydrodynamic studies of the bed to date. Unfortunately, there are only a few studies reported on the hydrodynamics of packed columns under supercritical fluid condition. Therefore, it is imperative that the future work has to focus on the hydrodynamics of supercritical packed column and particularly on the selection of suitable turbulence model.

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“…Guardo et al (2004) and Nejemeisland and Dixon (2004) simulated 72 particles with aspect ratio of 4. The works in the later time managed to simulate more particles with the help of the increasing computational power, for example, 349 spheres of Kuroki et al (2009) and 620 spheres of Magnico (2009). The latter carried out a direct numerical simulation in the range of Reynolds number less than 160.…”

Section: Introductionmentioning

confidence: 99%