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The following is a report on an experimental technique allowing to quantifyand map the velocity field with a very high resolution and a simple equipmentin large 2D devices. A simple Shlieren technique is proposed to reinforce thecontrast in the images and allow you to detect seeded particles that arepixel-sized or even inferior to it. The velocimetry technique that we havereported on is based on auto-correlation functions of the pixel intensity,which we have shown are directly related to the magnitude of the local averagevelocity. The characteristic time involved in the decorrelation of the signalis proportional to the tracer size and inversely proportional to the averagevelocity. We have reported on a detailed discussion about the optimization ofrelevant involved parameters, the spatial resolution and the accuracy of themethod. The technique is then applied to a model porous media made of a randomchannel network. We show that it is highly efficient to determine the magnitudeof the flow in each of the channels of the network, opening the road to thefundamental study of the flows of complex fluids. The latter is illustratedwith yield stress fluid, in which the flow becomes highly heterogeneous atsmall flow rates.

Large scale flow visualization and anemometry applied to lab on chip models of porous media