Validation of magnetic resonance velocimetry for mean velocity measurements of turbulent flows in a circular pipe.

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Title: Validation of magnetic resonance velocimetry for mean velocity measurements of turbulent flows in a circular pipe.
Authors: Lee, Jeesoo1, Ko, Seungbin1, Cho, Jee-Hyun2, Song, Simon simonsong@hanyang.ac.kr
Source: Journal of Mechanical Science & Technology. Mar2017, Vol. 31 Issue 3, p1275-1282. 8p.
Subjects: Phase contrast magnetic resonance imaging, Flow visualization, Particle image velocimetry, Turbulent flow, Laser Doppler velocimetry, Mathematical models
Abstract: Magnetic resonance velocimetry (MRV) is a versatile flow visualization technique that has been utilized for medical applications. Recently, MRV has been used to visualize engineering flows, but most engineers are still unfamiliar with the technique. In this paper, we introduce the basic principles and experimental configurations of MRV in detail and evaluate the accuracy of MRV applied to measure the mean velocity fields of turbulent flows in a circular pipe. A Philips Achieva 3.0 T Tx MRI scanner is used to provide a magnetic field and acquire resonance signals for flow visualization. Fully developed turbulent flows with Reynolds numbers of 6800, 9900 and 19400 were measured, and the axial mean velocity vectors were obtained with a spatial resolution of 0.5 mm for the three directions. Results show that the mean velocity profiles are in good agreement with reference data sets when properly scaled in both the inner and outer layers. [ABSTRACT FROM AUTHOR]
Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: <searchLink fieldCode="AR" term="%22Lee%2C+Jeesoo%22">Lee, Jeesoo</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Ko%2C+Seungbin%22">Ko, Seungbin</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Cho%2C+Jee-Hyun%22">Cho, Jee-Hyun</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Song%2C+Simon%22">Song, Simon</searchLink><i> simonsong@hanyang.ac.kr</i>
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  Data: <searchLink fieldCode="DE" term="%22Phase+contrast+magnetic+resonance+imaging%22">Phase contrast magnetic resonance imaging</searchLink><br /><searchLink fieldCode="DE" term="%22Flow+visualization%22">Flow visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Particle+image+velocimetry%22">Particle image velocimetry</searchLink><br /><searchLink fieldCode="DE" term="%22Turbulent+flow%22">Turbulent flow</searchLink><br /><searchLink fieldCode="DE" term="%22Laser+Doppler+velocimetry%22">Laser Doppler velocimetry</searchLink><br /><searchLink fieldCode="DE" term="%22Mathematical+models%22">Mathematical models</searchLink>
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  Data: Magnetic resonance velocimetry (MRV) is a versatile flow visualization technique that has been utilized for medical applications. Recently, MRV has been used to visualize engineering flows, but most engineers are still unfamiliar with the technique. In this paper, we introduce the basic principles and experimental configurations of MRV in detail and evaluate the accuracy of MRV applied to measure the mean velocity fields of turbulent flows in a circular pipe. A Philips Achieva 3.0 T Tx MRI scanner is used to provide a magnetic field and acquire resonance signals for flow visualization. Fully developed turbulent flows with Reynolds numbers of 6800, 9900 and 19400 were measured, and the axial mean velocity vectors were obtained with a spatial resolution of 0.5 mm for the three directions. Results show that the mean velocity profiles are in good agreement with reference data sets when properly scaled in both the inner and outer layers. [ABSTRACT FROM AUTHOR]
– Name: AbstractSuppliedCopyright
  Label:
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  Data: <i>Copyright of Journal of Mechanical Science & Technology is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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        Value: 10.1007/s12206-017-0226-x
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        Text: English
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      – SubjectFull: Phase contrast magnetic resonance imaging
        Type: general
      – SubjectFull: Flow visualization
        Type: general
      – SubjectFull: Particle image velocimetry
        Type: general
      – SubjectFull: Turbulent flow
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      – SubjectFull: Laser Doppler velocimetry
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      – SubjectFull: Mathematical models
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      – TitleFull: Validation of magnetic resonance velocimetry for mean velocity measurements of turbulent flows in a circular pipe.
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            NameFull: Ko, Seungbin
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            NameFull: Cho, Jee-Hyun
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            NameFull: Song, Simon
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              M: 03
              Text: Mar2017
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              Y: 2017
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