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Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows

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 &...

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Detalles Bibliográficos
Autores principales: Aguirre-Pablo, Andres A., Alarfaj, Meshal K., Li, Er Qiang, Hernández-Sánchez, J. F., Thoroddsen, Sigurdur T.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2017
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473851/
https://www.ncbi.nlm.nih.gov/pubmed/28623354
http://dx.doi.org/10.1038/s41598-017-03722-9
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author Aguirre-Pablo, Andres A.
Alarfaj, Meshal K.
Li, Er Qiang
Hernández-Sánchez, J. F.
Thoroddsen, Sigurdur T.
author_facet Aguirre-Pablo, Andres A.
Alarfaj, Meshal K.
Li, Er Qiang
Hernández-Sánchez, J. F.
Thoroddsen, Sigurdur T.
author_sort Aguirre-Pablo, Andres A.
collection PubMed
description 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.
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spelling pubmed-54738512017-06-21 Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows Aguirre-Pablo, Andres A. Alarfaj, Meshal K. Li, Er Qiang Hernández-Sánchez, J. F. Thoroddsen, Sigurdur T. Sci Rep Article 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. Nature Publishing Group UK 2017-06-16 /pmc/articles/PMC5473851/ /pubmed/28623354 http://dx.doi.org/10.1038/s41598-017-03722-9 Text en © The Author(s) 2017 Open Access This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this license, visit http://creativecommons.org/licenses/by/4.0/.
spellingShingle Article
Aguirre-Pablo, Andres A.
Alarfaj, Meshal K.
Li, Er Qiang
Hernández-Sánchez, J. F.
Thoroddsen, Sigurdur T.
Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
title 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_short Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
title_sort tomographic particle image velocimetry using smartphones and colored shadows
topic Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC5473851/
https://www.ncbi.nlm.nih.gov/pubmed/28623354
http://dx.doi.org/10.1038/s41598-017-03722-9
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