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Grid Sensitivity of LES Heat Transfer Results of a Turbulent Round Impinging Jet

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High Performance Computing in Science and Engineering '10

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Abstract

Impinging jets are used in a variety of engineering applications like in chemical reactors, mixing devices, drying and cooling applications. Good quality simulations of this highly complex flow field is a challenging task. In this work, the flow field and heat transfer of turbulent jet impingement is investigated by Large Eddy Simulation (LES). The benchmark case of a turbulent impinging jet with out swirl and excitation, recommended by ERCOFTAC, is simulated on different grids. The jet’s Reynolds number (Re) is 23000 and jet outlet-to-target wall distance (H/D) is 2. The agreement between experimental data and simulation results was improved by grid refinement in the free shear layer region behind the nozzle lip. The correlation between the heat transfer mechanism, flow kinematics and turbulence quantities was investigated.

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Authors and Affiliations

  1. Institut für Thermodynamik der Luft- und Raumfahrt, Universität Stuttgart, Pfaffenwaldring 31, Stuttgart, 70569, Germany

    Sven Olaf Neumann, Naseem Uddin & Bernhard Weigand

  2. Mechanical Engineering Department, NED University of Engineering and Technology, Karachi, 75270, Pakistan

    Naseem Uddin

Authors
  1. Sven Olaf Neumann
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  2. Naseem Uddin
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  3. Bernhard Weigand
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Corresponding author

Correspondence to Sven Olaf Neumann .

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Editors and Affiliations

  1. Zentrum für Informationsdienste und, Hochleistungsrechnen (ZIH), TU Dresden, Dresden, 01062, Germany

    Wolfgang E. Nagel

  2. , Abt. Angewandte Mathematik, Universität Freiburg, Hermann-Herder-Str. 10, Freiburg, 79104, Germany

    Dietmar B. Kröner

  3. Stuttgart (HLRS), Universität Stuttgart, Höchstleistungsrechenzentrum, Nobelstraße 19, Stuttgart, 70569, Germany

    Michael M. Resch

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Neumann, S.O., Uddin, N., Weigand, B. (2011). Grid Sensitivity of LES Heat Transfer Results of a Turbulent Round Impinging Jet. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering '10. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15748-6_24

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