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In this paper, the results obtained from experimental measurements of average and turbulence quantities of a turbulent rectangular impinging jet hitting a fixed wall is reported using the laser doppler anemometry (LDA) method. The nozzle to plate distance is 10 times the nozzle width, and the tests are repeated for three different Reynolds numbers, namely Re=3000, 6000 and 9000. The aim of the current research was to investigate and comparise of flow in different Re and also to determine the two effective experimental errors on average velocities, namely data sampling and residence time in measurement volume. The results reveal that the previous stated correlation for prediction of the number of data required for ensuring independence of the average flow variables on the number of the sampled data is not sufficient by itself, and depending on the turbulence intensity of the flow, this correlation could become ineffective. Further, in the present study, the residence time is used for calculation of average velocities, and the results are compared with those obtained by particle image velocimetry (PIV) method. The comparison shows good agreement between the results from LDA and PIV when considering effect of residence time within the avaraging equations in the former method. The results show that the behavior and quantity of the dimensionless average velocities for various Reynolds numbers are identical at most cross sections of the flow domain while the dimensionless turbulent stresses have different quantities at different values of the Reynolds number.

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Particle image velocimetry (PIV) is an optical flow measurement technique, which is capable of measuring instantaneous flow velocity. In this method, visualized flow patterns by small tracer particles, which follow the fluid flow and reflect an incident light, is recorded by a camera successively, and an analysis of particle movements in the recorded images results in the velocity of flow field. Correlation analysis is commonly used for the analysis of particle shift images, in which the images are divided into smaller windows called interrogation windows. The common displacement vector of particles in each interrogation window is determined by correlation analysis, which in turn results in the displacement vectors for the entire image. The accuracy of this method is dependent on the estimation of the location of the maximum value of correlation with subpixel accuracy. The objective of this research is the evaluation of function fit methods to estimate of the correlation peak location with subpixel accuracy. For this purpose, parabolic curve and second order surface fitting are investigated theoretically and experimentally. To achieve definite displacements, deformation of a solid part under uniform loading is investigated instead of fluid flow and the displacement of point patterns painted on the solid surface are analyzed. The results show that both function fit methods are capable of resolving subpixel movements with the accuracy of 0.035 pixel or one micrometer in this research.