Particle image velocimetry (PI V) has become an accepted technique for measuring two components of the velocity field in a cross section of reacting and non-reacting flows. To implement PIV, particles are introduced into the flow to track the fluid velocities. It has been demonstrated that PIV can be combined with scalar measurements by using laser-induced fluorescence (LIF) , however, particle-based techniques complicate simultaneous laser-based measurements of many scalar quantities due to strong scattering interference from the seed particles. A number of “non-particle” velocimetry approaches have been applied in turbulent flows, though few have found broad applicability under reacting conditions. For instance, the Scalar Imaging Velocimetry approach of Dahm et al.  produces a velocity field by inverting the scalar transport equation. The Image Correlation Velocimetry (ICV) technique of Tokumaru and Dimotakis  provides a basis for measuring the displacement fields of gas-phase fluid motions. Extension of this approach to reacting flows appears feasible [4,5] provided appropriate scalars are selected for imaging and validation experiments are carried out. Recent work on dynamic programming algorithms has been reported to achieve results that in some cases are superior to conventional PIV .
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