Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows [PDF]
Scientific Reports, 2017 We demonstrate the viability of using four low-cost smartphone cameras to perform Tomographic PIV. We use colored shadows to imprint two or three different time-steps on the same image.
Andres A. Aguirre-Pablo +4 more
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Zebrafish swimming in the flow: a particle image velocimetry study [PDF]
PeerJ, 2017 Zebrafish is emerging as a species of choice for the study of a number of biomechanics problems, including balance development, schooling, and neuromuscular transmission.
Violet Mwaffo +3 more
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Diffeomorphic Particle Image Velocimetry [PDF]
IEEE Transactions on Instrumentation and Measurement, 2022 Preprint, under ...
Yong Lee, Shuang Mei
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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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Uncertainty quantification in particle image velocimetry [PDF]
Measurement science and technology, 2019 Particle image velocimetry (PIV) has become the chief experimental technique for velocity field measurements in fluid flows. The technique yields quantitative visualizations of the instantaneous flow patterns, which are typically used to support the ...
Andrea Sciacchitano
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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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Particle reconstruction of volumetric particle image velocimetry with the strategy of machine learning [PDF]
Advances in Aerodynamics, 2021 Three-dimensional particle reconstruction with limited two-dimensional projections is an under-determined inverse problem that the exact solution is often difficult to be obtained.
Qi Gao +4 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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A Novel Polynomial Approach for Particle Image Velocimetry (PIV) Image Reconstruction [PDF]
FluidsParticle Image Velocimetry (PIV) often utilizes a cross-correlation method to determine how far particles have moved between two captured images. The most common methods for vector estimation use computationally exhaustive cross-correlation functions ...
Briana M. Steven, Paul D. Docherty
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