Optimization Module Enables Hybrid Experimental-Numerical Algorithm for 3D Particle Image Velocimetry

M. Sigurdson[1], C. Meinhart[1], I. Mezic[1]
[1]Department of Mechanical Engineering, University of California - Santa Barbara, Santa Barbara, CA, USA
Publié en 2014

In our study of chaotic mixing, 3D velocity measurements (u,v,w) are required for evaluation of a micro mixer using a mix-prediction algorithm. The hybrid approach presented here combines 2D measurements, an imperfect numerical model, and appropriate fitting parameters. Because our purpose is a measurement, rather than development of a physically accurate and predictive model, it not necessary that parameters match actual conditions, only that the flow is represented. While we are working to identify the best few fitting parameters, by using the highest signal measurements for the fitting, and evaluating the goodness of fit with checks at other regions, this Hybrid 3D PIV technique promises to be helpful for generation of experimentally accurate 3D velocity fields.

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