RainbowPIV with improved depth resolution -- design and comparative study with TomoPIV
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Rainbow_Xiong+et+al_2020_Meas._Sci._Technol._10.1088_1361-6501_abb0ff.pdf
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ArticleAuthors
Xiong, Jinhui
Aguirre-Pablo, Andres Alejandro
Idoughi, Ramzi
Thoroddsen, Sigurdur T

Heidrich, Wolfgang

KAUST Department
Computational Imaging GroupComputer Science
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 Number
CRGDate
2020-08-20Submitted Date
2020-02-10Permanent link to this record
http://hdl.handle.net/10754/664774
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RainbowPIV 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.Citation
Xiong, 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/abb0ffSponsors
This work was supported by King Abdullah University of Science and Technology through the CRG grant program as well as individual baseline funding.Publisher
IOP PublishingAdditional Links
https://iopscience.iop.org/article/10.1088/1361-6501/abb0ffae974a485f413a2113503eed53cd6c53
10.1088/1361-6501/abb0ff
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