TY - GEN
T1 - Reconfigurable rainbow PIV for 3D flow measurement
AU - Xiong, Jinhui
AU - Fu, Qiang
AU - Idoughi, Ramzi
AU - Heidrich, Wolfgang
N1 - KAUST Repository Item: Exported on 2020-10-01
Acknowledgements: This work was supported by King Abdullah University of Science and Technology CRG Funding and Baseline Funding.
PY - 2018/5/31
Y1 - 2018/5/31
N2 - In recent years, 3D Particle Imaging Velocimetry (PIV) has become more and more attractive due to its ability to fully characterize various fluid flows. However, 3D fluid capture and velocity field reconstruction remain a challenging problem. A recent rainbow PIV system encodes depth into color and successfully recovers 3D particle trajectories, but it also suffers from a limited and fixed volume size, as well as a relatively low light efficiency. In this paper, we propose a reconfigurable rainbow PIV system that extends the volume size to a considerable range. We introduce a parallel double-grating system to improve the light efficiency for scalable rainbow generation. A varifocal encoded diffractive lens is designed to accommodate the size of the rainbow illumination, ranging from 15 mm to 50 mm. We also propose a truncated consensus ADMM algorithm to efficiently reconstruct particle locations. Our algorithm is 5x faster compared to the state-of-the-art. The reconstruction quality is also improved significantly for a series of density levels. Our method is demonstrated by both simulation and experimental results.
AB - In recent years, 3D Particle Imaging Velocimetry (PIV) has become more and more attractive due to its ability to fully characterize various fluid flows. However, 3D fluid capture and velocity field reconstruction remain a challenging problem. A recent rainbow PIV system encodes depth into color and successfully recovers 3D particle trajectories, but it also suffers from a limited and fixed volume size, as well as a relatively low light efficiency. In this paper, we propose a reconfigurable rainbow PIV system that extends the volume size to a considerable range. We introduce a parallel double-grating system to improve the light efficiency for scalable rainbow generation. A varifocal encoded diffractive lens is designed to accommodate the size of the rainbow illumination, ranging from 15 mm to 50 mm. We also propose a truncated consensus ADMM algorithm to efficiently reconstruct particle locations. Our algorithm is 5x faster compared to the state-of-the-art. The reconstruction quality is also improved significantly for a series of density levels. Our method is demonstrated by both simulation and experimental results.
UR - http://hdl.handle.net/10754/630455
UR - https://ieeexplore.ieee.org/document/8368475/
UR - http://www.scopus.com/inward/record.url?scp=85048870027&partnerID=8YFLogxK
U2 - 10.1109/iccphot.2018.8368475
DO - 10.1109/iccphot.2018.8368475
M3 - Conference contribution
AN - SCOPUS:85048870027
SN - 9781538625262
SP - 1
EP - 9
BT - 2018 IEEE International Conference on Computational Photography (ICCP)
PB - Institute of Electrical and Electronics Engineers (IEEE)
ER -