Fast and accurate flow measurement through dual-camera light field particle image velocimetry and ordered-subset algorithm

Light field particle image velocimetry (LF-PIV) can measure the three-dimensional (3D) flow via a single perspective and hence is very attractive for applications with limited optical access. However, velocity measurement single-camera LF-PIV shows poor accuracy in depth direction due to reconstruction elongation effect. This study proposes solution based on dual-camera system along an ordered-subset simultaneous algebraic technique (OS-SART). The proposed improves spatial resolution reduces elongation. OS-SART also computational time brought by LF-PIV. Numerical reconstructions of fields Gaussian ring vortex are first performed evaluate efficiency system. Experiments circular jet conducted further validate accuracy. Results indicate that reduced more than 10 times compared improved at least twice conventional SART. significantly 3D It therefore demonstrated capable measuring fast accurately.