Multi-Δt approach for peak-locking error correction and uncertainty quantification in PIV

Abstract A novel approach is devised for the quantification of systematic uncertainty due to peak locking in particle image velocimetry (PIV), which also leads correction peak-locking errors. The approach, applicable statistical flow properties such as time-averaged velocity and Reynolds stresses, relies on recordings with multiple time separations Δ t a least-squares regression measured quantities. In presence locking, displacement non-linear function measurement errors vary non-linearly sub-pixel displacement. Additionally, fluctuations are combination actual error. When acquired ’s, among results yields where significantly diminished. methodology assessed planar PIV measurements over NACA0012 airfoil at 10 degrees angle attack. Reference much larger than ’s measurements, that relative negligible former, used assess validity proposed approach.