Eulerian indicators for predicting and optimizing mixing quality

摘要: Many different methods exist for measuring, quantifying and predicting the quality of a mixture resulting from fluid mixing device. In general, these rely on Lagrangian information system, as they involve evolution individual trajectories. this paper, we propose tools that are formulated using only Eulerian information, yet can predict properties The proposed indicators motivated by recent linked twist map (LTM) formulation mixing. We describe their features application in context four flows: blinking vortex flow partitioned pipe mixer (two paradigm flows early studies chaotic mixing), model channel containing 'separatrices' cross-sectional (which is common feature large number micromixers), generated pulsed source?sink pairs has been used DNA microarrays).