Journal
CHEMICAL ENGINEERING SCIENCE
Volume 231, Issue -, Pages -Publisher
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.ces.2020.116264
Keywords
Porous media; 3D-printing; Magnetic resonance imaging; Computational fluid dynamics; Triply periodic minimal surface
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Funding
- Ministry of Business, Innovation and Employment, New Zealand Endeavour programme Grant [UOCX1903]
- Biomolecular Interaction Centre at the University of Canterbury
- New Zealand Ministry of Business, Innovation & Employment (MBIE) [UOCX1903] Funding Source: New Zealand Ministry of Business, Innovation & Employment (MBIE)
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This study used MRI experiments and CFD simulations to investigate the flow characteristics in TPMS columns, revealing a transition from creeping flow to inertial flow and demonstrating that MRI and CFD are suitable techniques for understanding the superior performance of TPMS devices.
Advances in additive manufacturing technology are making ordered porous media, such as those based on triply periodic minimal surfaces (TPMS), increasingly feasible alternatives to random porous media for applications ranging from chromatography to heat exchange. Process performance in these applications is controlled by the flow characteristics within the channels. In this work, magnetic resonance imaging (MRI) experiments and computational fluid dynamics (CFD) simulations were used to study flow through a Schwarz Diamond TPMS column for Reynolds numbers up to 30. The CFD simulations were in good quantitative agreement with the MRI experiments. The velocity images illustrate a transition from creeping flow to inertial flow. The inertial flow regime exhibits flow splitting in each channel, where recombination depends on the extent of inertia. These results demonstrate that MRI and CFD are both suitable techniques for understanding the mechanisms underlying reported enhanced transfer performance (e.g. low axial dispersion) in TPMS devices. (C) 2020 Elsevier Ltd. All rights reserved.
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