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Title: Explicit numerical simulation-based study of the hydrodynamics of micro-packed beds
Authors: Navvab Kashani, Moein
Elekaei, Hamideh
Zivkovic, Vladimir
Zhang, Hu
Biggs, Mark J.
Keywords: Porous media
Micro-packed bed
Pressure drop
Permeability
Smoothed particle hydrodynamics (SPH)
Lagrangian
Issue Date: 2016
Publisher: Â© Elsevier
Citation: NAVVAB KASHANI, M. ...et al., 2016. Explicit numerical simulation-based study of the hydrodynamics of micro-packed beds. Chemical Engineering Science, 145, pp. 71–79.
Abstract: Knowledge of the hydrodynamic character of micro-packed beds (μPBs) is critical to understanding pumping power requirements and their performance in various applications, including those where heat and mass transfer are involved. The report here details use of smoothed particle hydrodynamics (SPH) based simulation of fluid flow on models of μPBs derived from X-ray microtomography to predict the hydrodynamic character of the beds as a function of the bed-to-particle diameter ratio over the range 5.2≤𝐷𝐷𝑑𝑑𝑝𝑝≤15.1⁄. It is shown that the permeability of the μPBs decreases in a non-linear but monotonic manner with this ratio to a plateau beyond 𝐷𝐷𝑑𝑑𝑝𝑝⁄≈10 that corresponded to the value predicted by the Ergun equation. This permeability variation was best represented by the model of Reichelt (Chem. Ing. Technik, 44, 1068, 1972) and also reasonably well-represented by that of Foumeny (Intnl. J. Heat Mass Transfer, 36, 536, 1993), both of which were developed using macroscale packed beds of varying bed-to-particle diameter ratios. Four other similarly determined correlations did not match well the permeability variation predicted by SPH. The flow field within the μPBs varied in an oscillatory manner with radial position (i.e. channelling occurred at multiple radial positions) due to a similar variation in the porosity. This suggests that use of performance models (e.g. for heat and mass transfer) derived for macroscale beds may not be suitable for μPBs. The SPH-based approach here may well form a suitable basis for predicting such behaviour, however.
Description: This paper is in closed access until 8th Feb 2017.
Version: Accepted for publication
DOI: 10.1016/j.ces.2016.02.003
URI: https://dspace.lboro.ac.uk/2134/20411
Publisher Link: http://dx.doi.org/10.1016/j.ces.2016.02.003
ISSN: 1873-4405
Appears in Collections:Closed Access (Chemistry)

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