Journals / Turkish Journal of Engineering / 2018 / Cilt: 2 - Sayı: 3

RHEOLOGICAL PARAMETER ESTIMATION OF CMC-WATER SOLUTIONS USING MAGNETIC RESONANCE IMAGING (MRI)

Pages
94–97
Publication Date
2022-11-05
DOI
—
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AI Summary & Key Takeaways

AI Insight
⚡ TL;DR(Too Long; Didn't Read)

The MRImeasurements agreed well with the CVO measurements.

📌 3 Key Takeaways

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Objective & Hypothesis:In this study, the application of Magnetic Resonance Imaging (MRI) rheometry on the measurement of complex fluidCarboxylmethyl cellulose (CMC)-water solutions (0.5%, 1.0%, 1.5%, 2.0% w/w) flow was described.
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Key Findings & Data:Power Law model was valid for 0.5% and 1.0% CMC (R2=0.9993-R2=0.9987 and R2=0.9983-R2=0.9985 respectively by MRI and CVO).
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Conclusion & Impact:The MRImeasurements agreed well with the CVO measurements.
🔬Design:Modeling & Simulation
📍Scope:Comprehensive Sample
⚙️Variables:Domain Parameters

Abstract

In this study, the application of Magnetic Resonance Imaging (MRI) rheometry on the measurement of complex fluidCarboxylmethyl cellulose (CMC)-water solutions (0.5%, 1.0%, 1.5%, 2.0% w/w) flow was described. Depending onCMC concentration, Power law or Herschel-Bulkley models gave the best fit according to MRI and conventionalrheometer (CVO) results. Power Law model was valid for 0.5% and 1.0% CMC (R2=0.9993-R2=0.9987 and R2=0.9983-R2=0.9985 respectively by MRI and CVO). On the other hand, 1.5% and 2.0% CMC solutions flow were well describedby Herschel–Bulkley model (R2=0.9994-R2=0.9996 and R2=0.9986-R2=0.9981 respectively by MRI and CVO). The MRImeasurements agreed well with the CVO measurements.

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Cite This Article

Tezel, G. B. (2022). RHEOLOGICAL PARAMETER ESTIMATION OF CMC-WATER SOLUTIONS USING MAGNETIC RESONANCE IMAGING (MRI). Turkish Journal of Engineering, Cilt: 2 - Sayı: 3, 94–97. https://ajindex.com/articles/654480

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