Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows

Abstract 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. The back-lighting is accomplished with three sets of differently-colored pulsed LEDs. Each set of Red, Gr...

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Autores principales:	Andres A. Aguirre-Pablo, Meshal K. Alarfaj, Er Qiang Li, J. F. Hernández-Sánchez, Sigurdur T. Thoroddsen
Formato:	article
Lenguaje:	EN
Publicado:	Nature Portfolio 2017
Materias:	Medicine R Science Q
Acceso en línea:	https://doaj.org/article/f5866793c59245d3befa9a9282415b4e
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spelling	oai:doaj.org-article:f5866793c59245d3befa9a9282415b4e2021-12-02T15:05:01ZTomographic Particle Image Velocimetry using Smartphones and Colored Shadows10.1038/s41598-017-03722-92045-2322https://doaj.org/article/f5866793c59245d3befa9a9282415b4e2017-06-01T00:00:00Zhttps://doi.org/10.1038/s41598-017-03722-9https://doaj.org/toc/2045-2322Abstract 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. The back-lighting is accomplished with three sets of differently-colored pulsed LEDs. Each set of Red, Green & Blue LEDs is shone on a diffuser screen facing each of the cameras. We thereby record the RGB-colored shadows of opaque suspended particles, rather than the conventionally used scattered light. We subsequently separate the RGB color channels, to represent the separate times, with preprocessing to minimize noise and cross-talk. We use commercially available Tomo-PIV software for the calibration, 3-D particle reconstruction and particle-field correlations, to obtain all three velocity components in a volume. Acceleration estimations can be done thanks to the triple pulse illumination. Our test flow is a vortex ring produced by forcing flow through a circular orifice, using a flexible membrane, which is driven by a pressurized air pulse. Our system is compared to a commercial stereoscopic PIV system for error estimations. We believe this proof of concept experiment will make this technique available for education, industry and scientists for a fraction of the hardware cost needed for traditional Tomo-PIV.Andres A. Aguirre-PabloMeshal K. AlarfajEr Qiang LiJ. F. Hernández-SánchezSigurdur T. ThoroddsenNature PortfolioarticleMedicineRScienceQENScientific Reports, Vol 7, Iss 1, Pp 1-18 (2017)
institution	DOAJ
collection	DOAJ
language	EN
topic	Medicine R Science Q
spellingShingle	Medicine R Science Q Andres A. Aguirre-Pablo Meshal K. Alarfaj Er Qiang Li J. F. Hernández-Sánchez Sigurdur T. Thoroddsen Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
description	Abstract 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. The back-lighting is accomplished with three sets of differently-colored pulsed LEDs. Each set of Red, Green & Blue LEDs is shone on a diffuser screen facing each of the cameras. We thereby record the RGB-colored shadows of opaque suspended particles, rather than the conventionally used scattered light. We subsequently separate the RGB color channels, to represent the separate times, with preprocessing to minimize noise and cross-talk. We use commercially available Tomo-PIV software for the calibration, 3-D particle reconstruction and particle-field correlations, to obtain all three velocity components in a volume. Acceleration estimations can be done thanks to the triple pulse illumination. Our test flow is a vortex ring produced by forcing flow through a circular orifice, using a flexible membrane, which is driven by a pressurized air pulse. Our system is compared to a commercial stereoscopic PIV system for error estimations. We believe this proof of concept experiment will make this technique available for education, industry and scientists for a fraction of the hardware cost needed for traditional Tomo-PIV.
format	article
author	Andres A. Aguirre-Pablo Meshal K. Alarfaj Er Qiang Li J. F. Hernández-Sánchez Sigurdur T. Thoroddsen
author_facet	Andres A. Aguirre-Pablo Meshal K. Alarfaj Er Qiang Li J. F. Hernández-Sánchez Sigurdur T. Thoroddsen
author_sort	Andres A. Aguirre-Pablo
title	Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
title_short	Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
title_full	Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
title_fullStr	Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
title_full_unstemmed	Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
title_sort	tomographic particle image velocimetry using smartphones and colored shadows
publisher	Nature Portfolio
publishDate	2017
url	https://doaj.org/article/f5866793c59245d3befa9a9282415b4e
work_keys_str_mv	AT andresaaguirrepablo tomographicparticleimagevelocimetryusingsmartphonesandcoloredshadows AT meshalkalarfaj tomographicparticleimagevelocimetryusingsmartphonesandcoloredshadows AT erqiangli tomographicparticleimagevelocimetryusingsmartphonesandcoloredshadows AT jfhernandezsanchez tomographicparticleimagevelocimetryusingsmartphonesandcoloredshadows AT sigurdurtthoroddsen tomographicparticleimagevelocimetryusingsmartphonesandcoloredshadows
_version_	1718388992221642752

Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows

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