Abstract
Large-eddy simulations (LESs) of a helicopter engine jet and an axial fan are performed by using locally refined Cartesian hierarchical meshes. For the computations a high-fidelity, massively parallelized solver for compressible flow is used. To verify the numerical method, a coaxial hot round jet is computed and the results are compared to reference data. The analysis is complemented by a grid convergence study for both applications, i.e., for the helicopter engine jet and the axial fan. For the helicopter engine jet, additional computations have been performed for two different nozzle geometries, i.e., a simplified nozzle geometry that is consisting of a center body and divergent outer annular channel, and a complete engine nozzle geometry with four additional struts were used. The presence of the struts results in a different potential core break-down and turbulence intensity. Furthermore, for the axial fan configuration, computations have been performed at two different volume flow rates. The reduction of the volume flow rate results in an interaction of the tip-gap vortex with the neighboring blade which leads to a higher turbulent kinetic energy near and inside the tip-gap region.
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Acknowledgements
The research has received funding from the European Community’s Seventh Framework Programme (FP7, 2007–2013), PEOPLE programme under the grant agreement No. FP7-290042 (COPAGT project) as well as by the German Federal Ministry of Economics and Technology via the “Arbeitsgemainschaft industrieller Forschungsvereinigungen Otto von Guericke e.V.” (AiF) and the “Forschungsvereinigung Luft- und Trocknungstechnik e.V.” (FLT) under the grant no. 177747N (L238). The authors gratefully acknowledge for provision of supercomputing time and technical support granted the High Performance Computing Center Stuttgart (HLRS).
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Cetin, M.O., Pogorelov, A., Lintermann, A., Cheng, HJ., Meinke, M., Schröder, W. (2016). Large-Scale Simulations of a Non-generic Helicopter Engine Nozzle and a Ducted Axial Fan. In: Nagel, W., Kröner, D., Resch, M. (eds) High Performance Computing in Science and Engineering ’15. Springer, Cham. https://doi.org/10.1007/978-3-319-24633-8_25
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DOI: https://doi.org/10.1007/978-3-319-24633-8_25
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