Particle Image Velocimetry Algorithm Based on Spike Camera Adaptive Integration [PDF]
SensorsIn particle image velocimetry (PIV), overexposure is particularly common in regions with high illumination. In particular, strong scattering or background reflection at the liquid–gas interface will make the overexposure phenomenon more obvious ...
Xiaoqiang Li +7 more
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Past and current components-based detailing of particle image velocimetry: A comprehensive review [PDF]
Heliyon, 2023 Particle image velocimetry has been widely used in various sectors from the automotive to aviation, research, and development, energy, medical, turbines, reactors, electronics, education, refrigeration for flow characterization and investigation. In this
Daniel Rohacs +6 more
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PIV-FlowDiffuser: Transfer-Learning-Based Denoising Diffusion Models for Particle Image Velocimetry [PDF]
SensorsDeep learning algorithms have significantly reduced the computational time and improved the spatial resolution of particle image velocimetry (PIV). However, the models trained on synthetic datasets might have degraded performances on practical particle ...
Qianyu Zhu +4 more
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Enhanced ultrasound particle image velocimetry (E-uPIV) enables fast flow mapping of microvasculature [PDF]
Communications EngineeringUltrasound particle image velocimetry (uPIV) has emerged as a widely-used tool for measuring blood flow fields with higher sensitivity and accuracy.
Jingyi Yin +4 more
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Digital particle image velocimetry [PDF]
Experiments in Fluids, 1991 Digital particle image velocimetry (DPIV) is the digital counterpart of conventional laser speckle velocitmetry (LSV) and particle image velocimetry (PIV) techniques. In this novel, two-dimensional technique, digitally recorded video images are analyzed computationally, removing both the photographic and opto-mechanical processing steps inherent to PIV
Christian Willert, M Gharib
exaly +2 more sources
Diffeomorphic Particle Image Velocimetry [PDF]
IEEE Transactions on Instrumentation and Measurement, 2022 Preprint, under ...
Yong Lee, Shuang Mei
openaire +2 more sources
Grid turbulence studied by Particle Image Velocimetry [PDF]
EPJ Web of Conferences, 2022 We studied the grid-generated turbulence by using Particle Image Velocimetry (PIV) technique. We test on this already well studied flow the new ways of analyzing spatially resolved PIV data, such as the spatial spectra and structure functions. We compare
Duda Daniel +3 more
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Uncertainty Estimation Methods in Particle Image Velocimetry [PDF]
EPJ Web of Conferences, 2022 The aim of present work is focused on determining accuracy of the measurement using the Particle Image Velocimetry based on an analysis of synthetic Uniform flow test and Couette flow test.
Novotný Jan +2 more
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Comparison of PIV measurements and a discrete particle model in a rectangular 3D spout-fluid bed [PDF]
, 2004 Particle image velocimetry and a 3D hard sphere discrete particle model were applied to determine particle velocity profiles in the plane around a spout in a spoutfluid bed for various initial bed heights, spout and background fluidization velocities ...
Deen, N.G., Kuipers, J.A.M., Link, J.M.
core +19 more sources
Particle image velocimetry technique for analysis of retractibility in woods of Pinus elliottii
Maderas: Ciencia y Tecnología, 2021 The aim of this work was to verify the ability to use the Particle Image Velocimetry technique for measurements of dimensional variations resulting from wood retractability of Pinus elliottii wood, initially saturated and with the surface marked with ...
Eduardo Hélio de Novais Miranda +4 more
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