A Lagrangian perspective towards studying entrainment

Rosi, Giuseppe; Rival, David E.

doi:10.1007/s00348-017-2465-0

Cited by 14 publications

(5 citation statements)

References 28 publications

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“…However, small-scale mixing and entrainment are still dominated by viscous effects, as discussed by Wolf et al (2013) and Chauhan, Philip & Marusic (2014). Furthermore, Rosi & Rival (2018) extended this observation for accelerating shear layers and showed that for acceleration the spacing of KHIs varies strongly with Re.…”

Section: Background On the Re Scaling Of Vortex Formation And Shear Lmentioning

confidence: 74%

“…The existence and the effects of coherent structures that are significantly smaller than the observed KHIs cannot be evaluated with the available data. Repeating the high-resolution particle tracking experiments of Rosi & Rival (2018) for the quasi-steady regime of the flow could provide insight if additional entrainment due to very small structures occurs at high Re.…”

Section: Discussionmentioning

confidence: 99%

“…The vorticity-containing shear layer feeds mass into the vortex volume (Wong, Kriegseis & Rival 2013). In addition, turbulent entrainment (Rosi & Rival 2018), as well as engulfment of inviscid fluid (e.g. figure 9), adds additional mass to the vortex core.…”

Section: Propulsion Forcementioning

confidence: 99%

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The influence of edge undulation on vortex formation for low-aspect-ratio propulsors

2019

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Section: Background On the Re Scaling Of Vortex Formation And Shear Lmentioning

confidence: 74%

Section: Discussionmentioning

confidence: 99%

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The influence of edge undulation on vortex formation for low-aspect-ratio propulsors

2019

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“…Analysis of non-stationary turbulent flow dynamics is characterised by highly complex features, exhibiting richer interactions between coherent structures than statistically stationary turbulent flows. Given the large amounts of data available from computational fluid dynamics (CFD) simulations and comprehensive experimental measurement techniques, such as time-resolved particle image velocimetry (TR-PIV), and four-dimensional particle tracking velocimetry (4D-PTV), the emergence of statistically non-stationary turbulence measurements can be expected to become ever more prevalent in the future [Rosi and Rival, 2018, Lacassagne et al, 2020, Steiros, 2022. Given that statistically non-stationarity turbulent flows are more likely to occur in nature and in industrial processes than stationary flows, the present work demonstrates a decomposition method for non-stationary turbulent/chaotic flows based on the proper orthogonal decomposition (POD).…”

Section: Introductionmentioning

confidence: 99%

Phase proper orthogonal decomposition of non-stationary turbulent flow

Zhang¹,

Hodzic²,

Evrard³

et al. 2023

Preprint

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A phase proper orthogonal decomposition (Phase POD) method is demonstrated, utilizing phase averaging for the decomposition of spatio-temporal behaviour of statistically non-stationary turbulent flows in an optimized manner. The proposed Phase POD method is herein applied to a periodically forced statistically non-stationary lid-driven cavity flow, implemented using the snapshot proper orthogonal decomposition algorithm. Spacephase modes are extracted to describe the dynamics of the chaotic flow, in which four central flow patterns are identified for describing the evolution of the energetic structures as a function of phase. The modal building blocks of the energy transport equation are demonstrated as a function of the phase. The triadic interaction term can here be interpreted as the convective transport of bi-modal interactions. Non-local energy transfer is observed as a result of the non-stationarity of the dynamical processes inducing triadic interactions spanning across a wide range of mode numbers.

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“…To perform volumetric measurements at higher Re , measurements can be conducted in water (see e.g. Rosi and Rival 2018). However, due to the presence of the water-air interface, the camera calibration poses a significant challenge.…”

Section: Introductionmentioning

confidence: 99%

A novel single-camera approach to large-scale, three-dimensional particle tracking based on glare-point spacing

et al. 2021

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A novel method for three-dimensional particle tracking velocimetry (PTV) is proposed that enables flow measurements in large volumes [ V = O(10 m 3 )] using a single camera. Flow is seeded with centimeter-sized soap bubbles, when combined with suitable illumination, produce multiple glare points. The spacing between the two brightest glare points for each bubble is then utilized to reconstruct its depth. While the use of large soap bubbles comes at the expense of non-Stokesian behaviour, the excellent ray optics allow for large volume illumination when coupled with for instance pulsed LED banks. Possible error sources and the out-of-plane accuracy are discussed before the feasibility of the method is tested in an industrial-scale wind tunnel facility (test section of cross section 9.1 m × 9.1 m). In particular, the vortical structure in the wake of a 30%-scale tractor-trailer model at a 9 • yaw angle is captured in a 4.0 m × 1.5 m × 1.5 m measurement volume. Long tracks of up to 80 time steps are extracted in three-dimensional space via a single perspective. The successful proof-of-concept confirms the potential of the novel approach for three-dimensional measurements in volumes of industrial scale.

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A Lagrangian perspective towards studying entrainment

Cited by 14 publications

References 28 publications

The influence of edge undulation on vortex formation for low-aspect-ratio propulsors

The influence of edge undulation on vortex formation for low-aspect-ratio propulsors

Phase proper orthogonal decomposition of non-stationary turbulent flow

A novel single-camera approach to large-scale, three-dimensional particle tracking based on glare-point spacing

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