Lagrangian and Eulerian measurements in high-speed jets using Multi-Pulse Shake-The-Box and fine scale reconstruction (VIC#)

Sellappan, Prabu; Alvi, Farrukh S.; Cattafesta, Louis N.

doi:10.1007/s00348-020-02993-9

Cited by 13 publications

(14 citation statements)

References 32 publications

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“…We implemented our small- measurement strategy using the multipulse STB tracking algorithm (Novara et al. 2019; Sellappan, Alvi & Cattafesta 2020) based on STB (Schanz, Gesemann & Schröder 2016) implemented in DaVis 10.1 by LaVision GmbH (Göttingen, Germany), followed by an in-house particle-pair mismatch rejection code described in § 4. The STB particle tracking algorithm works by triangulating particle positions using an array of cameras and includes a unique approach to refine the particle position using the particle images, which makes it advantageous for small- measurements.…”

Section: Experimental Set-upmentioning

confidence: 99%

“…2019; Sellappan et al. 2020), and based on minimizing to reduce uncertainty at small due to interpolation error (see § 7). When , the tracking strategy is as follows.…”

Section: Experimental Set-upmentioning

confidence: 99%

“…For complete detail on the tracking algorithm, refer to Sellappan et al. (2020). As recommended by LaVision, particle displacement should not be greater than 10 pixels to achieve a large dynamic range.…”

Section: Experimental Set-upmentioning

confidence: 99%

See 2 more Smart Citations

Particle radial distribution function and relative velocity measurement in turbulence at small particle-pair separations

Hammond

Meng

2021

J. Fluid Mech.

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Section: Experimental Set-upmentioning

confidence: 99%

“…2019; Sellappan et al. 2020), and based on minimizing to reduce uncertainty at small due to interpolation error (see § 7). When , the tracking strategy is as follows.…”

Section: Experimental Set-upmentioning

confidence: 99%

See 1 more Smart Citation

Particle radial distribution function and relative velocity measurement in turbulence at small particle-pair separations

Hammond

Meng

2021

J. Fluid Mech.

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“…6). Details of the setup and data can be found in Sellappan et al (2020). Our three-step method is used to process ∼ 2.6 × 10 4 particles in a volumetric domain (average seeding density is 0.25 particles/mm 3 ) and evaluate strain/rotation-rate tensors (Fig.…”

Section: Application To Experimental Datamentioning

confidence: 99%

Lagrangian Strain- and Rotation-Rate Tensor Evaluation Based on Multi-pulse Particle Tracking Velocimetry (MPTV) and Radial Basis Functions(RBFs)

Li¹,

Sellappan²,

Schmid³

et al. 2021

ISPIV21

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Physical conservation laws are inherently Lagrangian. However, analyses in fluid mechanics using the Lagrangian framework are often forgone in favor of those using the Eulerian framework. This is perhaps due to a lack of experimental techniques with high temporal and spatial resolution that track the movement of fluid tracers in a flow domain. The development of time-resolved Particle Tracking Velocimetry/Accelerometry (TR-PTV/A) that measures flows with high seeding density has made the use of the Lagrangian framework more accessible. A challenge facing PTV/A is the need for robust mesh-free numerical schemes that handle random particle locations. Such a scheme can be created with high-order accuracy using Radial Basis Functions (RBFs). RBFs allow direct evaluation of derivatives of vector and scalar fields at random locations with infinite-order smoothness. The current work uses RBF-based differential schemes to develop a post-processing tool for PTV/A data, which can accurately evaluate spatial derivatives directly from Lagrangian particle tracks. This RBF-based strain/rotation-rate tensor evaluation tool is validated with two and three-dimensional flows from analytical solutions and is then tested with experimental data measured by a multi-pulse PTV/A system.

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“…These techniques allow the capture of instantaneous jet flow fields and turbulent statistics in a 2D plane, typically at moderate spatial resolutions. To date, there have only been a limited number of studies investigating these high subsonic jet flows with three-dimensional (3D) or volumetric measurement techniques and only one (Sellappan et al, 2020) reported thus far with Lagrangian particle tracking (LPT), which can generally provide higher spatial resolution than typical PIV methods (Kähler et al, 2012a;Schröder et al, 2015). The current study aims to demonstrate a new adapted version of a recently developed 3D LPT algorithm, namely, Multi-Pulse Shake-The-Box (MP-STB) (Novara et al, 2016b) and show-case the potential of the technique to provide new insights into jet flow physics by revealing highly resolved 3D jet flow velocity and acceleration fields, and their statistical quantities.…”

Section: Introductionmentioning

confidence: 99%

3D Lagrangian particle tracking of a subsonic jet using multi-pulse Shake-The-Box

Manovski

Novara

Mohan

et al. 2021

Experimental Thermal and Fluid Science

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Lagrangian and Eulerian measurements in high-speed jets using Multi-Pulse Shake-The-Box and fine scale reconstruction (VIC#)

Cited by 13 publications

References 32 publications

Particle radial distribution function and relative velocity measurement in turbulence at small particle-pair separations

Particle radial distribution function and relative velocity measurement in turbulence at small particle-pair separations

Lagrangian Strain- and Rotation-Rate Tensor Evaluation Based on Multi-pulse Particle Tracking Velocimetry (MPTV) and Radial Basis Functions(RBFs)

3D Lagrangian particle tracking of a subsonic jet using multi-pulse Shake-The-Box

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