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Lookup NU author(s): Dr Vladimir Zivkovic
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License (CC BY-NC-ND).
Micro-packed beds (µPBs) are seeing increasing use in the process intensification context (e.g. micro-reactors), in separation and purification, particularly in the pharmaceutical and bio-products sectors, and in analytical chemistry. The structure of the stationary phase and of the void space it defines in such columns is of interest because it strongly influences performance. However, instrumental limitations – in particular the limited resolution of various imaging techniques relative to the particle and void space dimensions – have impeded experimental study of the structure of µPBs. We report here a new method that obviates this issue when the µPBs are composed of particles that may be approximated by monodisperse spheres. It achieves this by identifying in successive cross-sectional images of the bed the approximate centre and diameter of the particle cross-sections, replacing them with circles, and then assembling them to form the particles by identifying correlations between the successive images. Two important novel aspects of the method proposed here are it does not require specification of a threshold for binarizing the images, and it preserves the underlying spherical geometry of the packing. The new method is demonstrated through its application to a packing of a near-monodispersed 30.5 mm particles of high sphericity within a 200 mm square cross-section column imaged using a machine capable of 2.28 mm resolution. The porosity obtained was, within statistical uncertainty, the same as that determined via a direct method whilst use of a commonly used automatic thresholding technique yielded a result that was nearly 10% adrift, well beyond the experimental uncertainty. Extension of the method to packings of spherical particles that are less monodisperse or of different regular shapes (e.g. ellipsoids) is also discussed.
Author(s): Kashani MN, Zivkovic V, Elekaei H, Biggs MJ
Publication type: Article
Publication status: Published
Journal: Chemical Engineering Science
Year: 2016
Volume: 146
Pages: 337-345
Print publication date: 02/06/2016
Online publication date: 02/03/2016
Acceptance date: 24/02/2016
Date deposited: 02/03/2016
ISSN (print): 0009-2509
ISSN (electronic): 1873-4405
Publisher: Elsevier
URL: http://dx.doi.org/10.1016/j.ces.2016.02.031
DOI: 10.1016/j.ces.2016.02.031
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