Global ETD Search
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Showing 1 to 6 of 6 for “"MRI Velocimetry"”.
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Fabrication and Testing of a Microchannel Network Phantom for MRI Velocimetry
The MRI velocity maps scale with the Reynolds number of the flow. The theoretical average velocity distribution in a single channel is compared to the experimental distribution, with a consistent over-prediction of velocity near the channel edges. Slice thickness, order of image acquisition, …
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Molecular Origins of Phase Stability in Phase-Change Nano-Emulsions for Thermal Energy Storage by NMR Spectroscopy
… and thermal cycling, <sup>1</sup>H rheo-NMR and MRI velocimetry methods were applied on the model PCM nano-emulsion in a concentric double cylinder at different rotating frequencies during thermal cycling. Double-slice selection was applied to measure the velocity profile and concentration …
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Theoretical and Experimental Study of a Continuous Hydrodynamically-Enhanced Separation System Paradigm
… time from coarse Magnetic Resonance Imaging (MRI) data. A novel reconstruction approach is introduced to process the point-wise MRI velocity measurements such that fluid mechanical constraints are strictly enforced, rather than performing simple interpolation. In addition to the fact that …
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Development of a Virtual Scientific Visualization Environment for the Analysis of Complex Flows
… of our Time-Resolved Digital Particle Image Velocimetry (TRDPIV) system were improved, allowing near-wall wall TRDPIV on compliant, dynamically moving boundaries. As a result, false flow-field vectors due to reflections from the boundary walls were eliminated, and allowing measurement of wall …
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Developing Magnetic Resonance Based Analytics to Support Continuous Bioprocess
… the first use of magnetic resonance imaging (MRI) velocimetry to study the flow field inside an ambr15® microscale bioreactor. MRI provides a non-invasive method for the highly accurate visualisation of these hydrodynamics and a means for validating CFD predictions.
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From local and bulk structure-flow correlations to macro-scale transport properties with MRI: applications using deformable porous media and deep learning
… resonance (NMR)/magnetic resonance imaging (MRI) and machine learning (ML) techniques. The evolving interactions between the solid framework and the local flow fields of deformable model porous systems were probed by both spatially and non-spatially resolved NMR methods and linked to bulk …