RainbowPIV with improved depth resolution -- design and comparative study with TomoPIV
Aguirre-Pablo, Andres Alejandro
Thoroddsen, Sigurdur T
KAUST DepartmentComputational Imaging Group
Computer Science Program
Computer, Electrical and Mathematical Sciences and Engineering (CEMSE) Division
High-Speed Fluids Imaging Laboratory
KAUST, Thuwal, 23955-6900, SAUDI ARABIA.
Mechanical Engineering Program
Physical Science and Engineering (PSE) Division
Visual Computing Center (VCC)
KAUST Grant NumberCRG
Permanent link to this recordhttp://hdl.handle.net/10754/664774
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AbstractRainbowPIV is a recent imaging technology proposed for time-resolved 3D-3C fluid velocity measurement using a single RGB camera. It dramatically simplifies the hardware setup and calibration procedures required compared to alternative 3D-3C measurement approaches. RainbowPIV combines optical design and tailored reconstruction algorithms, and earlier preliminary studies have demonstrated its ability to extract physically constrained fluid vector fields. This article addresses the issue of limited axial resolution, the major drawback of the original RainbowPIV system. We validate the new system with a direct, quantitative comparison to four-camera Tomo-PIV on experimental data. The reconstructed flow vectors of the two approaches exhibit a high degree of consistency, with the RainbowPIV results explicitly guaranteeing physical properties such as divergence free velocity fields for incompressible fluid flows.
CitationXiong, J., Aguirre-Pablo, A. A., Idoughi, R., Thoroddsen, S. T., & Heidrich, W. (2020). RainbowPIV with improved depth resolution -- design and comparative study with TomoPIV. Measurement Science and Technology. doi:10.1088/1361-6501/abb0ff
SponsorsThis work was supported by King Abdullah University of Science and Technology through the CRG grant program as well as individual baseline funding.
Except where otherwise noted, this item's license is described as As the Version of Record of this article is going to be / has been published on a gold open access basis under a CC BY 3.0 licence, this Accepted Manuscript is available for reuse under a CC BY 3.0 licence immediately.