SURFACE CONSTANT-TEMPERATURE ANEMOMETER SENSORS USED TO ANALYZE PARTICLE IMAGE VELOCIMETRY DATA

This paper describes a new method for performing the time-frequency analysis of particle image velocimetry data with account for surface constant-temperature anemometer sensor readings. This method is based on calculating correlation coefficients between particle image velocimetry data and constant-temperature anemometer data, previously filtered in a given frequency range. This approach makes it possible to obtain data on the unsteady characteristics of flows throughout the entire measurement range in a frequency range whose boundaries extend beyond the boundaries of the particle image velocimetry frequency range. The proposed method is applied to study nonstationary processes in a region where a shock wave interacts with a boundary layer at a Mach number M = 1.43.