Effect of Non – Linear Averaging in Computed Tomography

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Presentation transcript:

Effect of Non – Linear Averaging in Computed Tomography For a fluctuating holdup field what is the difference For different CT sampling rates t and bubble passage times tb How is the dynamic bias propagated from pixel to pixel? How sensitive is the dynamic bias to the gradients in the holdup from pixel to pixel? Can we obtain bounds on the dynamic bias for multiphase flows in different geometries?

Can we quantify errors E2 and E3 through numerical experiments? Eulerian Flow field Estimation from Particle Trajectories:NumericalExperiments Sources of Errors in Computation of flow fields from CARPT measurements Errors in reconstructing the trajectories from detector signals (E1) Errors in estimating Eulerian information from the reconstructed trajectories (E2) Errors due to particle not following the flow faithfully (E3) Introduce uncertainty in reconstructed position (x,y,z), velocities and turbulence parameters Can we quantify errors E2 and E3 through numerical experiments? Can this study be used to develop a more general understanding of the CARPT Processing issues?

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