Particle position prediction based on Lagrangian coherency for flow over a cylinder in 4D-PTV

Recent developments in time-resolved Particle Tracking Velocimetry (4D-PTV) consistently improved tracking accuracy and robustness. We propose a novel technique named ”Lagrangian coherent predictor” to estimate particle positions within the 4D-PTV algorithm. add spatial temporal coherency information of neighbour particles predict single trajectory using Lagrangian Coherent Structures (LCS). found that even weak signal from motions improves prediction complex flow regions. applied Finite Time Lyapunov Exponent (FTLE) quantify local boundaries (i.e. ridges) motions. Synthetic analysis wake behind smooth cylinder at Reynolds number equal 3900 showed enhanced estimation compared with recent predictor functions employed 4D-PTV. Results experimental study same configuration are reported. predicted optimised final Shake The Box (STB). It was succeeded estimating minimum deviation positions.