Martin Freitag
Fachgebiet Energie- und Kraftwerkstechnik, Technische Universitt Darmstadt Petersenstr. 30, Darmstadt, D-64287, Germany
Markus Klein
Institute for Energy and Powerplant Technology (EKT), TU-Darmstadt, Petersenstr. 30, 64287, Darmstadt, Germany
Mark Gregor
Fachgebiet Energie- und Kraftwerkstechnik, Technische Universitt Darmstadt Petersenstr. 30, Darmstadt, D-64287, Germany
Andreas Nauert
Fachgebiet Energie- und Kraftwerkstechnik, Technische Universitt Darmstadt Petersenstr. 30, Darmstadt, D-64287, Germany
Dirk Geyer
Fachgebiet Energie- und Kraftwerkstechnik, Technische Universitt Darmstadt Petersenstr. 30, Darmstadt, D-64287, Germany
Christoph Schneider
Chair of Energy and Powerplant Technology, Department of Mechanical Engineering, Darmstadt University of Technology, Petersenstr. 30, 64287 Darmstadt, Germany
Andreas Dreizler
Institute for Reactive Flows and Diagnostics, Center of Smart Interface Department of Mechanical Engineering, TU Darmstadt, Petersenstrasse 32, 64287 Darmstadt
Johannes Janicka
Institute of Energy and Power Plant Technology, TU Darmstadt, Jovanka-Bontschits-Strasse 2, 64287 Darmstadt, Germany; Darmstadt Graduate School of Excellence Energy Science and Engineering, TU Darmstadt,
Jovanka-Bontschits-Strasse 2, 64287 Darmstadt, Germany
RÉSUMÉ
Fluid flow and mixing of a recirculating, swirling flow was investigated by direct numerical simulation (DNS) at a Reynolds number of Re = 5000. Its accuracy was assessed by grid refinement studies and also by comparing the results to experimental velocity data obtained by laser Doppler velocimetry (LDV). The mixing field was investigated experimentally using spontaneous Raman-scattering and planar laser induced fluorescence (PLIF). Detailed one point statistics will be presented and discussed. In addition a comparison between two point statistics of the velocity and the scalar field will be given. Further on, the impact of a precessing vortex core (PVC) on the mixing process will be examined.
The database will be used in the future for testing 1.) a newly developed model for the turbulent scalar flux (see Klein et al. 2004), as well as 2.) strategies for assessing the quality of large eddy simulations.
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