Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows

Handle URI:
http://hdl.handle.net/10754/625067
Title:
Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows
Authors:
Aguirre-Pablo, Andres A.; Alarfaj, Meshal Khalid Ahmed ( 0000-0001-8813-0608 ) ; Li, Erqiang ( 0000-0002-5003-0756 ) ; Hernandez Sanchez, Jose Federico; Thoroddsen, Sigurdur T. ( 0000-0001-6997-4311 )
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.
KAUST Department:
Physical Sciences and Engineering (PSE) Division
Citation:
Aguirre-Pablo AA, Alarfaj MK, Li EQ, Hernández-Sánchez JF, Thoroddsen ST (2017) Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-03722-9.
Publisher:
Springer Nature
Journal:
Scientific Reports
KAUST Grant Number:
URF/1/2621-01-01
Issue Date:
12-Jun-2017
DOI:
10.1038/s41598-017-03722-9
Type:
Article
ISSN:
2045-2322
Sponsors:
This work was supported by the King Abdullah University of Science and Technology (KAUST) Research Funding under grant URF/1/2621-01-01.
Additional Links:
https://www.nature.com/articles/s41598-017-03722-9
Appears in Collections:
Articles; Physical Sciences and Engineering (PSE) Division

Full metadata record

DC FieldValue Language
dc.contributor.authorAguirre-Pablo, Andres A.en
dc.contributor.authorAlarfaj, Meshal Khalid Ahmeden
dc.contributor.authorLi, Erqiangen
dc.contributor.authorHernandez Sanchez, Jose Federicoen
dc.contributor.authorThoroddsen, Sigurdur T.en
dc.date.accessioned2017-06-19T09:21:46Z-
dc.date.available2017-06-19T09:21:46Z-
dc.date.issued2017-06-12en
dc.identifier.citationAguirre-Pablo AA, Alarfaj MK, Li EQ, Hernández-Sánchez JF, Thoroddsen ST (2017) Tomographic Particle Image Velocimetry using Smartphones and Colored Shadows. Scientific Reports 7. Available: http://dx.doi.org/10.1038/s41598-017-03722-9.en
dc.identifier.issn2045-2322en
dc.identifier.doi10.1038/s41598-017-03722-9en
dc.identifier.urihttp://hdl.handle.net/10754/625067-
dc.description.abstractWe 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.en
dc.description.sponsorshipThis work was supported by the King Abdullah University of Science and Technology (KAUST) Research Funding under grant URF/1/2621-01-01.en
dc.publisherSpringer Natureen
dc.relation.urlhttps://www.nature.com/articles/s41598-017-03722-9en
dc.rightsThis 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/.en
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/en
dc.titleTomographic Particle Image Velocimetry using Smartphones and Colored Shadowsen
dc.typeArticleen
dc.contributor.departmentPhysical Sciences and Engineering (PSE) Divisionen
dc.identifier.journalScientific Reportsen
dc.eprint.versionPublisher's Version/PDFen
kaust.authorAguirre-Pablo, Andres A.en
kaust.authorAlarfaj, Meshal Khalid Ahmeden
kaust.authorLi, Erqiangen
kaust.authorHernandez Sanchez, Jose Federicoen
kaust.authorThoroddsen, Sigurdur T.en
kaust.grant.numberURF/1/2621-01-01en
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