2014
DOI: 10.1007/s00348-014-1812-7
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Long-range μPIV to resolve the small scales in a jet at high Reynolds number

Abstract: The investigation of flows at high Reynolds number is of great interest for the theory of turbulence, in that the large and the small scales of turbulence show a clear separation. But, as the Reynolds number of the flow increases, the size of the Kolmogorov length scale (g) drops almost proportionally. Aiming at achieving the adequate spatial resolution in the central region of a selfsimilar round jet at high Reynolds numbers (Re k % 350), a long-range lPIV system was applied. A vector spacing of 1:5g was achi… Show more

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Cited by 24 publications
(14 citation statements)
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“…Regions of intense swirling within a turbulent flow have been shown to be structured in worms [27,41,42] with a typical diameter on the order of 5η-10η and possibly an axial length of up to several Taylor microscales in length [43]. These observations over the scaling of the diameter of the coherent structures of vorticity were confirmed at much larger Reynolds numbers in a recent experimental study [44] and in DNS simulations of homogeneous isotropic turbulence [29].…”
Section: Resultsmentioning
confidence: 63%
“…Regions of intense swirling within a turbulent flow have been shown to be structured in worms [27,41,42] with a typical diameter on the order of 5η-10η and possibly an axial length of up to several Taylor microscales in length [43]. These observations over the scaling of the diameter of the coherent structures of vorticity were confirmed at much larger Reynolds numbers in a recent experimental study [44] and in DNS simulations of homogeneous isotropic turbulence [29].…”
Section: Resultsmentioning
confidence: 63%
“…These structures are strongly correlated with each other in space (e.g. Yeung et al (2012); Fiscaletti et al (2014)) and have strongly non-Gaussian probability density functions (PDFs) (Wilczek & Friedrich 2009;Yeung et al 2012). Their properties are a subject of interest in relation to flame extinction (Sreenivasan & Antonia 1997;Sreenivasan 2004), clustering of particles (Chun et al 2005), cloud formation (Bodenschatz et al 2010) and mixing (Pumir 1994b).…”
Section: Introductionmentioning
confidence: 99%
“…The reason for the disparity is the azimuthal averaging, which was used when determining the vortex core sizes (e.g. Jimenez et al 1993), the vorticity 44 G. E. Elsinga, T. Ishihara, M. V. Goudar, C. B. da Silva and J. C. R. Hunt auto-correlation map (Fiscaletti, Westerweel & Elsinga 2014) or the conditionally averaged vorticity field (Mui, Dommermuth & Novikov 1996). The vorticity vector defines only a single direction and a perpendicular plane.…”
Section: Dissipationmentioning
confidence: 99%