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PIVlab – Towards User-friendly, Affordable and Accurate Digital Particle Image Velocimetry in MATLAB

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TLDR
The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.
Abstract
Digital particle image velocimetry (DPIV) is a non-intrusive analysis technique that is very popular for mapping flows quantitatively. To get accurate results, in particular in complex flow fields, a number of challenges have to be faced and solved: The quality of the flow measurements is affected by computational details such as image pre-conditioning, sub-pixel peak estimators, data validation procedures, interpolation algorithms and smoothing methods. The accuracy of several algorithms was determined and the best performing methods were implemented in a user-friendly open-source tool for performing DPIV flow analysis in Matlab.

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Journal ArticleDOI

Particle velocimetry analysis of immiscible two-phase flow in micromodels

TL;DR: In this paper, the pore-scale velocity distributions are obtained for single-phase flow in porous media with a typical pore size of 5-40µm at a resolution of 1.8 μ m × 1. 8 μ m vector grid.
Journal ArticleDOI

Experiments on the water entry of asymmetric wedges using particle image velocimetry

TL;DR: In this article, an asymmetric wedge entering the water surface with an orthogonal velocity falling from a fixed height is characterized by particle image velocimetry (PIV), and the impact configuration significantly influences both the velocity and the pressure field, ultimately regulating the hydrodynamic loading on the wedge.
Journal ArticleDOI

Gravitational effect in evaporating binary microdroplets

TL;DR: The flow in an evaporating glycerol-water binary submillimeter droplet with a Bond number Bo≪1 is studied both experimentally and numerically and it is shown that the Archimedes number Ar is the nondimensional control parameter for the occurrence of the gravitational effects.
Journal ArticleDOI

Calibration of the discrete element method: Strategies for spherical and non-spherical particles

TL;DR: In this paper, the authors used the discrete element method (DEM) for the modeling of granular materials and found that the drawdown test alone was sufficient to calibrate the coefficients of sliding and rolling friction, this was confirmed by the results from the rotating drum and shear tests.
References
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Journal ArticleDOI

The Design and Implementation of FFTW3

TL;DR: It is shown that such an approach can yield an implementation of the discrete Fourier transform that is competitive with hand-optimized libraries, and the software structure that makes the current FFTW3 version flexible and adaptive is described.
Book

Particle Image Velocimetry: A Practical Guide

TL;DR: In this paper, the authors present a practical guide for the planning, performance and understanding of experiments employing the PIV technique, which is primarily intended for engineers, scientists and students, who already have some basic knowledge of fluid mechanics and nonintrusive optical measurement techniques.
Journal ArticleDOI

Particle-Imaging Techniques for Experimental Fluid Mechanics

TL;DR: A review of these methods can be found in articles by Lauterborn & Vogel (1984), Adrian (1986a), Hesselink (1988), and Dudderar et al..
Journal ArticleDOI

Adaptive histogram equalization and its variations

TL;DR: It is concluded that clipped ahe should become a method of choice in medical imaging and probably also in other areas of digital imaging, and that clip ahe can be made adequately fast to be routinely applied in the normal display sequence.
Journal ArticleDOI

Digital Particle Image Velocimetry

TL;DR: In this article, the directional ambiguity associated with PIV and LSV is resolved by implementing local spatial cross-correlations between two sequential single-exposed particle images, and the recovered velocity data are used to compute the spatial and temporal vorticity distribution and the circulation of the vortex ring.
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