Particle Image Velocimetry

Riethmuller, M. L.; Lee, David; Lecordier, Bertrand

doi:10.1002/9781118569610.ch6

Cited by 2 publications

(3 citation statements)

References 107 publications

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“…The apparatus was filled with the working fluid to the water level shown in Fig 2 . This level was chosen to reduce the effects of ambient pressure on the flow structures formed. PIV tracer particles (silvercoated hollow glass spheres) were added until a sufficient concentration was met, as quantified by Reithmuller [17]. The tank was stirred until a homogeneous mixture of fluid to tracer particles was achieved within the system.…”

Section: Experimentationmentioning

confidence: 99%

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The influence of the stagnation zone on the fluid dynamics at the nozzle exit of a confined and submerged impinging jet

Jeffers¹,

Stafford²,

Conway

et al. 2016

Exp Fluids

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Low profile impinging jets provide a means to achieve high heat transfer coefficients while occupying a small quantity of space. Consequently, they are found in many engineering applications such as electronics cooling, annealing of metals, food processing, and others. This paper investigates the influence of the stagnation zone fluid dynamics on the nozzle exit flow condition of a low profile, submerged and confined impinging water jet. The jet was geometrically constrained to a round, 16mm diameter, square-edged nozzle at a jet exit to target surface spacing (H/D) that varied between 0.25 < H/D < 8.75. The influence of turbulent flow regimes is the main focus of this paper, however laminar flow data is also presented between 1350 < Re < 17300. A custom measurement facility was designed and commissioned to utilise Particle-Image Velocimetry (PIV) in order to quantitatively measure the fluid dynamics both before and after the jet exits its nozzle. The velocity profiles are normalised with the mean velocity across the nozzle exit. The primary objective of this paper is to present accurate flow profiles across the nozzle exit of an impinging jet confined to a low H/D, with a view to guide the boundary conditions chosen for numerical simulations confined to similar constraints.The results revealed in this paper suggest that the fluid dynamics in the stagnation zone strongly influences the nozzle exit velocity profile at confinement heights between 0 < H/D < 1. This is of particular relevance with regards to the choice of inlet boundary conditions in numerical models, and it was found that it is necessary to model a jet tube length L/D > 0.5

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Section: Experimentationmentioning

confidence: 99%

“…Where ρ and µ are density and dynamic viscosity respectively. Velocity magnitude plots in this study are normalized to the mean inlet velocity of the jet (V m ) [17], [1].…”

Section: Experimentationmentioning

confidence: 99%

The influence of the stagnation zone on the fluid dynamics at the nozzle exit of a confined and submerged impinging jet

Jeffers¹,

Stafford²,

Conway

et al. 2016

Exp Fluids

View full text Add to dashboard Cite

show abstract

“…Matching visual content across images or videos is a major research topic in computer vision, with many applications such as velocimetry, multi-view image reconstruction, or human motion analysis [1,2,3,4,5,6]. While many papers focus on supervised learning techniques to address this problem in the context of reproducible scenarios such as face analysis or vehicule tracking, specific applications such as Particle Image Velocimetry (PIV) remain a challenge.…”

Section: Introductionmentioning

confidence: 99%

A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction

Bourdon

Helbert

2017

2017 IEEE International Conference on Image Processing (ICIP)

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In the article we propose a new on-line feature space selection strategy for displacement field estimation in the context of multi-view reconstruction of biological images acquired by a multi-photon micro-endoscope. While the high variety of targets encountered in clinical endoscopy induce enough texture feature variability to prohibit the use of recent supervised learning or feature matchingbased visual tracking methods, we will show how on-line learning combined with a classical method such as Digital Image Correlation (DIC) can contribute to the improvement of convex optimization-based template matching techniques.

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Particle Image Velocimetry

Cited by 2 publications

References 107 publications

The influence of the stagnation zone on the fluid dynamics at the nozzle exit of a confined and submerged impinging jet

The influence of the stagnation zone on the fluid dynamics at the nozzle exit of a confined and submerged impinging jet

A data-driven approach to feature space selection for robust micro-endoscopic image reconstruction

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