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research-article

LES LOSS PREDICTION IN AN AXIAL COMPRESSOR CASCADE AT OFF-DESIGN INCIDENCES WITH FREE STREAM DISTURBANCES

[+] Author and Article Information
John Leggett

University of Southampton, Southampton, UK
j.leggett@soton.ac.uk

Stephan Priebe

GE Global Research, Niskayuna, NY, USA
Stephan.Priebe@ge.com

Aamir Shabbir

GE Aviation, Cincinnati, OH, USA
Aamir.Shabbir@ge.com

Vittorio Michelassi

General Electric Oil&Gas, Florence, Italy
vittorio.michelassi@bhge.com

Richard Sandberg

University of Melbourne, Melbourne, Australia
richard.sandberg@unimelb.edu.au

Ed S Richardson

University of Southampton, Southampton, UK
e.s.richardson@soton.ac.uk

1Corresponding author.

ASME doi:10.1115/1.4039807 History: Received December 02, 2017; Revised March 04, 2018

Abstract

Axial compressors may be operated under off-design incidences due to variable operating conditions. Therefore, a successful design requires accurate performance and stability limits predictions under a wide operating range. Designers generally rely both on correlations and on RANS, the accuracy of the latter often being questioned. The present study investigates profile losses in an axial compressor linear cascade using both RANS and wall-resolved Large Eddy Simulation (LES), and compares with measurements. The analysis concentrates on "loss buckets", local separation bubbles and boundary layer transition with high levels of free stream turbulence, as encountered in real compressor environment without and with periodic incoming wakes. The work extends previous research with the intention of furthering our understanding of prediction tools and improving our quantification of the physical processes involved in loss generation. The results show that while RANS predicts overall profile losses with good accuracy, the relative importance of the different loss mechanisms does not match with LES, especially at off-design conditions. This implies that a RANS based optimisation of a compressor profile under a wide incidence range may require a thorough LES verification at off-design incidence.

Copyright (c) 2018 by ASME
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