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Particle image velocimetry analysis using an optically addressed spatial light modulator: effects of nonlinear

M L Jakobsen, W J Hossack, C A Greated

|November 2, 2010

Summary

Optical processors enhance particle image velocimetry (PIV) analysis by generating autocorrelation functions. Simulations show that nonlinear transfer functions of spatial light modulators significantly impact PIV correlation results.

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Micro-particle Image Velocimetry for Velocity Profile Measurements of Micro Blood Flows

Published on: April 25, 2013

Area of Science:

Fluid dynamics
Optical processing
Image analysis

Background:

Particle Image Velocimetry (PIV) is a key technique for fluid flow analysis.
Optical processors can generate autocorrelation functions for PIV postprocessing.
Optically addressed spatial light modulators (OASLMs) are used for incoherent-to-coherent conversion in these processors.

Purpose of the Study:

To investigate the impact of nonlinear transfer functions of OASLMs on PIV autocorrelation analysis.
To simulate the performance of optical processors with different OASLM transfer functions.

Main Methods:

Digital simulation of two distinct OASLM transfer functions: analog and binary.
Analysis of the influence of these nonlinearities on the generated correlation function.

Main Results:

Nonlinear transfer functions demonstrably alter the resulting autocorrelation function.
The specific type of nonlinearity (analog vs. binary) affects the degree and nature of the alteration.

Conclusions:

The nonlinear characteristics of OASLMs are critical factors affecting PIV optical processor performance.
Accurate modeling of OASLM transfer functions is essential for reliable PIV data acquisition.