Data · dataset · 2026
A Simple Portable Magnetic Resonance Technique for Characterizing Circular Couette Flow of Non-Newtonian Fluids
Listed in UNB Libraries Dataverse Research Data Repository
This repository contains all raw data files and processing scripts associated with the paper published in the Journal of Magnetic Resonance entitled “A Simple Portable Magnetic Resonance Technique for Characterizing Circular Couette Flow of Non-Newtonian Fluids.”
Description
Abstract
In this work, we expand on past portable magnetic resonance flow methods and propose a novel method for characterizing circular (laminar) Couette flow of non-Newtonian fluids. Symmetry of the flow system combined with a constant magnetic field gradient leads to phase interference, affecting the signal magnitude, and net phase cancellation when averaging across the excited slice, preventing the use of phase-sensitive methods.
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Therefore, we utilize the dependence of signal magnitude at variable echo times and shear rates to characterize rheological properties. Theoretical equations governing the velocity distributions of fluids that obey a simple power-law model are used to obtain integral expressions for signal magnitude. Integral expressions can be simplified by approximating a thin excited slice or complete excitation of the Couette cell depending on experimental parameters.
With simple data acquisition and analysis procedures employed, our measurements of the flow behavior indices of non-Newtonian xanthan gum dispersions are in close agreement with conventional rheological magnetic resonance measurements.
Links
Where it is published
- Dataverse dataset page dataverse.lib.unb.ca/dataset.xhtml?persistentId=doi%3A10.25545%2FVUKFYS ↗
landing page · from dataverse lib unb ca
- DOI doi.org/10.25545/vukfys ↗
DOI / persistent id · from dataverse lib unb ca
Catalogue records · 1
- Dataverse API dataverse.lib.unb.ca/api/datasets/:persistentId/?persistentId=doi%3A10.25545%2FVUKF… ↗
metadata API · from dataverse lib unb ca
Topics
- Stated by source
- Physics
- From keywords
- Non-Newtonian fluid flows · Physics · Psychology & Behavioral Science
- Inferred from text
- Magnetic resonance imaging 65%
Provenance · 1 source records, 11 field assertions
| Source | Key | Last seen | Raw |
|---|---|---|---|
| UNB Libraries Dataverse Research Data Repository | doi:10.25545/VUKFYS | 6 d ago | JSON v1 |
| Field | Assertion | Extractor | Evidence |
|---|---|---|---|
| concepts[field].anzsrc:field:401212 | mapping · dataverse lib unb ca | vocabulary-mapper@1.0.0 | keywords['Rheology'] |
| concepts[field].dataverse_subject:physics | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[field].local:field:physics | mapping · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[field].local:field:psychology-behavioral | mapping · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /subjects |
| concepts[modality].local:modality:mri | enrichment · dataverse lib unb ca | keyword-concept-rules@1.0.0 | title+description (65%) |
| created_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| description | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /description |
| publication_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| title | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | /name |
| updated_date | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 | |
| version_label | source · dataverse lib unb ca | connector:dataverse_lib_unb_ca@1.0.0 |