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Manoochehr Koochesfahani

Researcher at Michigan State University

Publications -  119
Citations -  3979

Manoochehr Koochesfahani is an academic researcher from Michigan State University. The author has contributed to research in topics: Molecular tagging velocimetry & Reynolds number. The author has an hindex of 32, co-authored 116 publications receiving 3699 citations. Previous affiliations of Manoochehr Koochesfahani include California Institute of Technology.

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Vortical patterns in the wake of an oscillating airfoil

TL;DR: In this article, the vortical flow patterns in the wake of a NACA 0012 airfoil pitching at small amplitudes were studied in a low speed water channel, and it was shown that a great deal of control can be exercised on the structure of the wake by the control of the frequency, amplitude and also the shape of the oscillation waveform.
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Mixing and chemical reactions in a turbulent liquid mixing layer

TL;DR: In this paper, an experimental investigation of entrainment and mixing in reacting and non-reacting turbulent mixing layers at large Schmidt number is presented, and the results show that the vortical structures in the mixing layer initially roll-up with a large excess of fluid from the high speed stream entrapped in the cores.
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MTV measurements of the vortical field in the wake of an airfoil oscillating at high reduced frequency

TL;DR: In this article, molecular tagging velocimetry is used to quantify the characteristics of the vortex array (circulation, peak vorticity, core size, spatial arrangement) and its downstream evolution over the first chord length as a function of reduced frequency.
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A spatial correlation technique for estimating velocity fields using molecular tagging velocimetry (MTV)

TL;DR: A direct spatial image correlation technique is presented for estimating the Lagrangian displacement vector from image pairs based on molecular tagging diagnostics that provides significant improvement in measurement accuracy compared to existing approaches for molecular tagging velocimetry (MTV) analysis.
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Molecular tagging velocimetry and other novel applications of a new phosphorescent supramolecule

TL;DR: Implementation of a two-detector system is described which relaxes the requirement that the initial tagging pattern be known a priori, eliminates errors in velocity estimates caused by variations in the grid pattern during an experiment, and makes it possible to study flows with non-uniform mixtures.