Iterative multigrid approach in PIV image processing with discrete window offset

Abstract

 The features of an improved algorithm for the interrogation of (digital) particle image velocimetry (PIV) pictures are described. The method is based on cross-correlation. It makes use of a translation of the interrogation areas. Such a displacement is predicted and corrected by means of an iterative procedure. In addition, while iterating, the method allows a refinement of the size of the interrogation areas. The quality of the measured vectors is controlled with data validation criteria applied at each intermediate step of the iteration process.

A brief section explains the expected improvements in terms of dynamic range and resolution. The accuracy is assessed analysing images with imposed displacement fields.

The improved cross-correlation algorithm has been applied to the measurement of the turbulent flow past a backward facing step (BFS).

A systematic comparison is presented with Direct Numerical Simulation (DNS) data available on the subject.