Distortion correction of two-component two-dimensional PIV using a large imaging sensor with application to measurements of a turbulent boundary layer flow at $$\hbox {Re}_{\tau } = 2386$$

In the past decade, advances in electronics technology have made larger imaging sensors available to experimental fluid mechanics community. These advancements enabled measurement of 2-component 2-dimensional (2C-2D) velocity fields using particle image velocimetry (PIV) with much higher spatial resolution than previously possible. However, due large size sensor, lens distortion needs be taken into account as it will now a more significant effect on quality that must corrected ensure accurate high-fidelity 2C-2D field measurements. this paper, two dewarping models, second-order rational function (R2) and bicubic polynomial (P3) are investigated regards PIV measurements turbulent boundary layer (TBL) sensor. Two approaches considered compared: (i) images prior cross-correlation analysis (ii) undertaking original recorded distorted then followed by mapping functions derived for provide correct location point. The results demonstrate use P3 model yields better R2 model. Furthermore, both yield which statistically indistinguishable.