Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/79607
Title: A non-invasive study of flow dynamics in membrane distillation hollow fiber modules using low-field nuclear magnetic resonance imaging (MRI)
Authors: Fridjonsson, E. O.
Yang, X.
Johns, M. L.
Wang, Rong
Fane, Anthony Gordon
Keywords: DRNTU::Engineering::Environmental engineering::Water treatment
Issue Date: 2013
Source: Yang, X., Fridjonsson, E. O., Johns, M. L., Wang, R., & Fane, A. G. (2014). A non-invasive study of flow dynamics in membrane distillation hollow fiber modules using low-field nuclear magnetic resonance imaging (MRI). Journal of Membrane Science, 451, 46-54.
Series/Report no.: Journal of membrane science
Abstract: Low-field bench-top nuclear magnetic resonance imaging (MRI) has been applied to investigate the hydrodynamics in novel hollow fiber modules with four different configurations of randomly-packed, spacer-knitted, curly and semi-curly fibers, specifically designed for the membrane distillation (MD) process. Imaging, spatially resolved velocity maps and propagators (probability distributions of displacement/velocity) were all acquired in the modules with flow in the shell side. The MRI data were correlated with overall module performance. The results have revealed that the curly configuration exhibited more significant transverse flow and hence enhanced mixing, compared to the randomly packed configuration; this was consistent with an enhanced MD performance in terms of permeation flux. Interestingly, the velocity maps of the spacer-knitted fiber design indicated a significant flow channeling in the center of the module, despite its enhanced MD performance. Fortunately, combined with further investigations on the localized velocity images of this configuration, the acquisition of propagators provided valuable information in revealing the existence of reduced stagnant regions and significant transverse flow at varied operating conditions, which indicated a better overall mixing and hence confirmed its module performance.
URI: https://hdl.handle.net/10356/79607
http://hdl.handle.net/10220/17356
ISSN: 0376-7388
DOI: 10.1016/j.memsci.2013.09.015
Rights: © 2013 Elsevier B.V. This is the author created version of a work that has been peer reviewed and accepted for publication by Journal of Membrane Science, Elsevier. It incorporates referee’s comments but changes resulting from the publishing process, such as copyediting, structural formatting, may not be reflected in this document. The published version is available at: [http://dx.doi.org/10.1016/j.memsci.2013.09.015].
Fulltext Permission: open
Fulltext Availability: With Fulltext
Appears in Collections:CEE Journal Articles

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