Assessment and calibration of the γ equation transition model for a wide range of Reynolds numbers at low Mach

Colonia, S., Leble, V., Steijl, R. and Barakos, G. (2017) Assessment and calibration of the γ equation transition model for a wide range of Reynolds numbers at low Mach. AIAA Journal, 55(4), pp. 1126-1139. (doi: 10.2514/1.J055403)

130763.pdf - Accepted Version



The numerical simulation of flows over large-scale wind turbine blades without considering the transition from laminar to fully turbulent flow may result in incorrect estimates of the blade loads and performance. Thanks to its relative simplicity and promising results, the Local-Correlation based Transition Modelling concept represents a valid way to include transitional effects into practical CFD simulations. However, the model involves coefficients to be tuned to match the required application. In this paper, the γ-equation transition model is assessed and calibrated, for a wide range of Reynolds numbers at low Mach, as needed for wind turbine applications. Different airfoils are used to evaluate the original model and calibrate it, whereas a large-scale wind turbine blade is employed to show that the calibrated model can lead to reliable solution for complex three-dimensional flows. The calibrated model shows promising results for both two-dimensional and three-dimensional flows, even if cross-flow instabilities are neglected.

Item Type:Articles
Additional Information:Acknowledgments: Results were obtained using the EPSRC founded ARCHIE-WeSt High Performance Computer ( EPSRC grant no. EP/K000586/1. Simone Colonia is supported by the AVATAR project (FP7-ENERGY-2013-1/N608396). Vladimir Leble is supported by the MARE-WINT project (FP7-PEOPLE-2012-ITN/309395).
Glasgow Author(s) Enlighten ID:Barakos, Professor George and Leble, Mr Vladimir and Steijl, Dr Rene and Colonia, Mr Simone
Authors: Colonia, S., Leble, V., Steijl, R., and Barakos, G.
College/School:College of Science and Engineering > School of Engineering > Autonomous Systems and Connectivity
Journal Name:AIAA Journal
Publisher:American Institute of Aeronautics and Astronautics, Inc.
ISSN (Online):1533-385X
Published Online:30 January 2017
Copyright Holders:Copyright © 2016 The Authors
First Published:First published in AIAA Journal 2017
Publisher Policy:Reproduced in accordance with the copyright policy of the publisher

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