NDLI: Study on the particle traceability in transonic and supersonic flows using molecular tagging velocimetry

Content Provider	Springer Nature Link
Author	Sakurai, Takayuki Handa, Taro Koike, Shunsuke Mii, Katsuhito Nakano, Aoi
Copyright Year	2015
Abstract	Particle image velocimetry (PIV) has become a powerful tool for flow velocity measurements in wind tunnel testing. However, it is generally difficult to apply the PIV technique to supersonic flows because of unreliable particle traceability. In the present study, the PIV and MTV (molecular tagging velocimetry) techniques are applied to transonic and supersonic flows, in which a normal shock wave appears, to evaluate particle traceability. Based on this work, it is found that the PIV data largely deviate from the MTV data behind a normal shock wave for both flows. The drag coefficient is also estimated for a particle from the velocity data measured by the two techniques. Its value is then compared to the drag coefficient value calculated from an empirical formula for particle Mach numbers ranging between 0.1 and 0.9. Based on the results, it is found that the experimental data can be reproduced reasonably well by the formula for particle Reynolds numbers higher than ~1. However, the data associated with particle Reynolds numbers lower than ~1 deviate largely from the formula.
Starting Page	511
Ending Page	520
Page Count	10
File Format	PDF
ISSN	13438875
Journal	Journal of Visualization
Volume Number	18
Issue Number	3
e-ISSN	18758975
Language	English
Publisher	Springer Berlin Heidelberg
Publisher Date	2015-04-04
Publisher Place	Berlin, Heidelberg
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Particle image velocimetry Molecular tagging velocimetry Particle traceability Supersonic flow Drag coefficient Engineering Fluid Dynamics Computer Imaging, Vision, Pattern Recognition and Graphics Classical Continuum Physics Engineering Thermodynamics, Heat and Mass Transfer
Content Type	Text
Resource Type	Article
Subject	Condensed Matter Physics Electrical and Electronic Engineering

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