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Particle Image Velocimetry

Peter Bueken
TLDR
In this article, Bueken et al. present a conference on Particle Image Velocimetry (PIV) at the Sala de Juntes de l'FNB impartida pel professor Peter Buekens da l'Antwerp Maritime Acedemy (Belgica).
Abstract
conferencia sobre "Particle Image Velocimetry" de les 13:00-14:00 a la Sala de Juntes de l'FNB impartida pel professor Peter Bueken da l'Antwerp Maritime Acedemy (Belgica)

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Citations
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Journal ArticleDOI

Dense motion estimation of particle images via a convolutional neural network

TL;DR: Experimental evaluations indicate that the trained CNN model can provide satisfactory results in both artificial and laboratory PIV images, and the computational efficiency of the CNN estimator is much superior to those of the traditional cross-correction and optical flow methods.
Journal ArticleDOI

A tensile ring drives tissue flows to shape the gastrulating amniote embryo

TL;DR: Analyzing gastrulation in entire avian embryos, it is shown that it is driven by the graded contraction of a large-scale supracellular actomyosin ring at the margin between the embryonic and extraembryonic territories.
Journal ArticleDOI

Image processing techniques for the measurement of two-phase bubbly pipe flows using particle image and tracking velocimetry (PIV/PTV)

TL;DR: In this paper, a new method for phase discrimination in particle image velocimetry was developed to overcome the problems caused by the presence of bubbles in the flow, which uses the pixels intensity information of each interrogation window, to identify if that window corresponds to liquid or bubble region.
Journal ArticleDOI

On the internal flow of a ventilated supercavity

TL;DR: In this paper, an experimental investigation on the internal flow of a ventilated supercavity using fog flow visualization and particle image velocimetry (PIV) measurements is presented.
References
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Journal ArticleDOI

Dense motion estimation of particle images via a convolutional neural network

TL;DR: Experimental evaluations indicate that the trained CNN model can provide satisfactory results in both artificial and laboratory PIV images, and the computational efficiency of the CNN estimator is much superior to those of the traditional cross-correction and optical flow methods.
Journal ArticleDOI

A tensile ring drives tissue flows to shape the gastrulating amniote embryo

TL;DR: Analyzing gastrulation in entire avian embryos, it is shown that it is driven by the graded contraction of a large-scale supracellular actomyosin ring at the margin between the embryonic and extraembryonic territories.
Journal ArticleDOI

Image processing techniques for the measurement of two-phase bubbly pipe flows using particle image and tracking velocimetry (PIV/PTV)

TL;DR: In this paper, a new method for phase discrimination in particle image velocimetry was developed to overcome the problems caused by the presence of bubbles in the flow, which uses the pixels intensity information of each interrogation window, to identify if that window corresponds to liquid or bubble region.
Journal ArticleDOI

On the internal flow of a ventilated supercavity

TL;DR: In this paper, an experimental investigation on the internal flow of a ventilated supercavity using fog flow visualization and particle image velocimetry (PIV) measurements is presented.