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Body-force and mean-line models for the generation of axial compressor sub-idle characteristics

Published online by Cambridge University Press:  07 July 2020

M. Righi Open the ORCID record for M. Righi [Opens in a new window] ,
L.E. Ferrer-Vidal  and
V. Pachidis
M. Righi*
Affiliation:
Centre for Propulsion Engineering, Cranfield University, Cranfield, UK
L.E. Ferrer-Vidal
Affiliation:
Centre for Propulsion Engineering, Cranfield University, Cranfield, UK
V. Pachidis
Affiliation:
Centre for Propulsion Engineering, Cranfield University, Cranfield, UK
*
m.righi@cranfield.ac.uk
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Abstract

This paper describes the application of low-order models to the prediction of the steady performance of axial compressors at sub-idle conditions. An Euler body-force method employing sub-idle performance correlations is developed and presented alongside a mean-line approach employing the same set of correlations. The low-order tools are used to generate the characteristic lines of the compressor in the locked-rotor and zero-torque windmilling conditions. The results are compared against steady-state operating points from three-dimensional (3D) Reynolds-averaged Navier–Stokes (RANS) computational fluid dynamics (CFD) simulations. The accuracy of the low-order tools in reproducing the results from high-fidelity CFD is analysed, and the trade-off with the computational cost of each method is discussed. The low-order tools presented are shown to offer a fast alternative to traditional CFD which can be used to predict the performance in sub-idle conditions of a new compressor design during early development stages.

Keywords

Axial compressorSub-idle performanceThrough-flow codeMean-line codeCFD
Type
Research Article
Information
The Aeronautical Journal , Volume 124 , Issue 1281 , November 2020 , pp. 1683 - 1701
Copyright
© The Author(s), 2020. Published by Cambridge University Press on behalf of Royal Aeronautical Society

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References

RERERENCES

EASA Certification Memorandum: Turbine Engine Relighting In Flight, 2015, Pub. L. No. CS-E 910, 1.Google Scholar
Zachos, P.K.Modelling and analysis of turbofan engines under windmilling conditions, J Propul Power, 2013, 29, (4), pp 882–892.CrossRefGoogle Scholar
Walsh, P.P. and Fletcher, P.Gas Turbine Performance, John Wiley & Sons, 2004, Oxford, UK.CrossRefGoogle Scholar
Riegler, C., Bauer, M. and Kurzke, J. Some aspects of modelling compressor behavior in gas turbine performance calculations, ASME Turbo Expo 2000: Power for Land, Sea, and Air, 2000, pp 1–8.CrossRefGoogle Scholar
Kurzke, J.How to get component maps for aircraft gas turbine performance calculations, ASME 1996 International Gas Turbine and Aeroengine Congress and Exhibition, 1996, pp 1–7.Google Scholar
Agrawal, R.K. and Yunis, M. A generalized mathematical model to estimate gas turbine starting characteristics, ASME 1981 International Gas Turbine Conference and Products Show, 1981, pp 1–8.CrossRefGoogle Scholar
Gaudet, S.R. and Gauthier, J.E.D. A simple sub-idle component map extrapolation method, ASME Turbo Expo 2007: Power for Land, Sea, and Air, 2007, pp 29–37.CrossRefGoogle Scholar
Jones, G., Pilidis, P. and Curnock, B. Compressor characteristics in gas turbine performance modelling, ASME Turbo Expo 2001: Power for Land, Sea, and Air, 2001, pp 1–7.CrossRefGoogle Scholar
Zachos, P.K., Ruelke, C., Pachidis, V. and Singh, R. Compressor blade modelling under highly negative incidence, ASME 2011 Turbo Expo: Turbine Technical Conference and Exposition, 2011, pp 431–441.CrossRefGoogle Scholar
Ferrer-Vidal, L.E., Pachidis, V. and Tunstall, R.J.An enhanced compressor sub-idle map generation method, Proceedings of GPPSForum 2018, Zurich, Switzerland, 2018.Google Scholar
Righi, M., Pachidis, V. and KÖnÖzsy, L.Three-dimensional through-flow modelling of axial flow compressor rotating stall and surge, Aerospace Sci Tech, 2018, 7, pp 271–279.CrossRefGoogle Scholar
Longley, J.P.Calculating stall and surge transients, ASME Turbo Expo 2007: Power for Land, Sea, and Air, 2007, pp 125–136.Google Scholar
Brand, M.L. An Improved Blade Passage Model for Estimating Off-Design Axial Compressor Performance, PhD Thesis, 2013, Massachusetts Institute of Technology.Google Scholar
Aungier, R.H.Axial Flow Compressors: A Strategy for Aerodynamic Design and Analysis, ASME Press and Professional Engineering Publishing, 2003, New York, USA.Google Scholar
Ferrer-Vidal, L.E., Schneider, M., Allegretti, A. and Pachidis, V.A loss and deflection model for compressor blading at high negative incidence, J Turbomach, 2019, 141, (12), pp 1–12.CrossRefGoogle Scholar
Poinsot, T. J. and Lele, S. K.Boundary conditions for direct simulations of compressible viscous flows, J Comput Phys, 1992, 101, (1), pp 104–129.CrossRefGoogle Scholar
Veres, J.P.Axial and centrifugal compressor mean line flow analysis method, NASA Technical Memorandum, NASA/TM-2009-215585, 2009.CrossRefGoogle Scholar
Smith, S.L. One-dimensional Mean Line Code Technique to Calculate Stage-by-Stage Compressor Characteristics, MSc Thesis, University of Tennessee - Knoxville, 1999.Google Scholar
Binder, N., Courty-Audren, S., Duplaa, S., Dufour, G. and Carbonneau, X.Theoretical analysis of the aerodynamics of low-speed fans in free and load-controlled windmilling operation, J Turbomach, 2015, 137, (10), pp 1–12.CrossRefGoogle Scholar
Righi, M., Ferrer-Vidal, L.E., Allegretti, A. and Pachidis, V. Low-order models for the calculation of compressor sub-idle characteristics, 24th ISABE Conference, Canberra, Australia, 2019.CrossRefGoogle Scholar