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High-speed visualization of vortical cavitation using synchrotron radiation

Published online by Cambridge University Press:  16 January 2018

Ioannis K. Karathanassis*
Affiliation:
School of Mathematics, Computer Science and Engineering, City, University of London, London EC1V 0HB, UK
Phoevos Koukouvinis
Affiliation:
School of Mathematics, Computer Science and Engineering, City, University of London, London EC1V 0HB, UK
Efstathios Kontolatis
Affiliation:
School of Mathematics, Computer Science and Engineering, City, University of London, London EC1V 0HB, UK
Zhilong Lee
Affiliation:
Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
Jin Wang
Affiliation:
Advanced Photon Source, Argonne National Laboratory, Lemont, IL 60439, USA
Nicholas Mitroglou
Affiliation:
School of Mathematics, Computer Science and Engineering, City, University of London, London EC1V 0HB, UK
Manolis Gavaises
Affiliation:
School of Mathematics, Computer Science and Engineering, City, University of London, London EC1V 0HB, UK
*
Email address for correspondence: Ioannis.Karathanassis@city.ac.uk

Abstract

High-speed X-ray phase-contrast imaging of the cavitating flow developing within an axisymmetric throttle orifice has been conducted using high-flux synchrotron radiation. A white X-ray beam with energy of 6 keV was utilized to visualize the highly turbulent flow at 67 890 frames per second with an exposure time of 347 ns. The working medium employed was commercial diesel fuel at flow conditions characterized by Reynolds and cavitation numbers in the range of 18 000–35 500 and 1.6–7.7, respectively. Appropriate post-processing of the obtained side-view radiographs enabled the detailed illustration of the interface topology of the arising vortical cavity. In addition, the visualization temporal and spatial resolution allowed the correlation of the prevailing flow conditions to the periodicity of cavitation onset and collapse, to the magnitude of the underlying vortical motion, as well as to the local turbulence intensity.

Type
JFM Papers
Copyright
© 2018 Cambridge University Press 

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