Time-resolved stereo PIV measurements in the far-field of a turbulent zero-net-mass-flux jet

González-Espinosa, Ana; Buchmann, Nicolas; Lozano, Antonio; Soria, Julio

doi:10.1016/j.expthermflusci.2014.04.008

Cited by 3 publications

(3 citation statements)

References 10 publications

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“…Water in the tank is seeded with hollow glass spheres that have a mean particle diameter of 11 µm. These particles, which have been used in numerous previous fluid mechanics studies (Buchner et al, 2012;González-Espinosa et al, 2014;Kostas et al, 2005), have a density of 1.1 g/cc and a relaxation time of 7.38 µs in water such that they faithfully follow the flow with high fidelity. A double-cavity pulsed Nd:YAG laser (New Wave Research) emitting at a wavelength of 532 nm is used to illuminate these particles.…”

Section: Piv System and Parametersmentioning

confidence: 99%

In-vitro and particle image velocimetry studies of dry powder inhalers

Reis

Chaugule

Fletcher

et al. 2021

International Journal of Pharmaceutics

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Section: Piv System and Parametersmentioning

confidence: 99%

In-vitro and particle image velocimetry studies of dry powder inhalers

Reis

Chaugule

Fletcher

et al. 2021

International Journal of Pharmaceutics

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“…Time-resolved 2C-2D PIV experiments have been carried out in the LTRAC ZNMF jets experimental facility at Monash University, previously described in [18,41]. Fig.…”

Section: Experimental Facilitymentioning

confidence: 99%

Higher order dynamic mode decomposition of noisy experimental data: The flow structure of a zero-net-mass-flux jet

Clainche

Vega

Soria

2017

Experimental Thermal and Fluid Science

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102

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A method is presented to treat complex experimental flow data resulting from PIV. The method is based on an appropriate combination of higher order singular value decomposition (which cleans the data along the temporal dimension and the various space dimensions) and higher order dynamic mode decomposition (HODMD), a recent extension of standard dynamic mode decomposition that treats the data in a sliding window. The performance of the method is tested using experimental data obtained in the near field of a zero-net-mass-flux (ZNMF) jet. The better performance of HODMD is put in evidence making this technique suitable to both, cleaning the experimental noise using a limited number of snapshots and obtaining robust and sufficiently accurate results that elucidate the spatio-temporal structure of the flow. The results show that this ZNMF jet is temporally periodic in the near field, where the flow results from the interaction of a large number harmonics. These harmonics involve large scale spatial flow structures, identified as spatially growing instabilities, which are associated with the flow transition to turbulence in the far field.

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“…To overcome this lack of information, the evolution of positively buoyant jets was analyzed by: (1) non-intrusive techniques such as Particle Image Velocimetry (PIV) [16][17][18][19][20], (2) Laser Induce Fluorescence (LIF) [21][22][23][24][25], and/or (3) simultaneously PIV and LIF [26][27][28][29]. These two techniques provided high-quality results of velocity vector fields and concentration scalar fields at one or several planes of the fluid medium for any discharged substance, respectively.…”

Section: Introductionmentioning

confidence: 99%

Zonation of Positively Buoyant Jets Interacting with the Water-Free Surface Quantified by Physical and Numerical Modelling

García-Alba

Bárcena

Garcı́a

2020

Water

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The evolution of positively buoyant jets was studied with non-intrusive techniques—Particle Image Velocimetry (PIV) and Laser Induce Fluorescence (LIF)—by analyzing four physical tests in their four characteristic zones: momentum dominant zone (jet-like), momentum to buoyancy transition zone (jet to plume), buoyancy dominant zone (plume-like), and lateral dispersion dominant zone. Four configurations were tested modifying the momentum and the buoyancy of the effluent through variations of flow discharge and the thermal gradient with the receiving water body, respectively. The physical model results were used to evaluate the performance of numerical models to describe such flows. Furthermore, a new method to delimitate the four characteristic zones of positively buoyant jets interacting with the water-free surface was proposed using the angle (α) shaped by the tangent of the centerline trajectory and the longitudinal axis. Physical model results showed that the dispersion of mass (concentrations) was always greater than the dispersion of energy (velocity) during the evolution of positively buoyant jets. The semiempirical models (CORJET and VISJET) underestimated the trajectory and overestimated the dilution of positively buoyant jets close to the impact zone with the water-free surface. The computational fluid dynamics (CFD) model (Open Field Operation And Manipulation model (OpenFOAM)) is able to reproduce the behavior of positively buoyant jets for all the proposed zones according to the physical results.

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Time-resolved stereo PIV measurements in the far-field of a turbulent zero-net-mass-flux jet

Cited by 3 publications

References 10 publications

In-vitro and particle image velocimetry studies of dry powder inhalers

In-vitro and particle image velocimetry studies of dry powder inhalers

Higher order dynamic mode decomposition of noisy experimental data: The flow structure of a zero-net-mass-flux jet

Zonation of Positively Buoyant Jets Interacting with the Water-Free Surface Quantified by Physical and Numerical Modelling

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