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research-article

ON THE IDENTIFICATION AND DECOMPOSITION OF THE UNSTEADY LOSSES IN A TURBINE CASCADE

[+] Author and Article Information
Davide Lengani

DIME - Universitá di Genova, Genova, Italy
davide.lengani@edu.unige.it

Daniele Simoni

DIME - Universitá di Genova, Genova, Italy
daniele.simoni@unige.it

Richard Pichler

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

Richard Sandberg

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

Vittorio Michelassi

Baker Hughes, a GE Company, Firenze, Italy
vittorio.michelassi@ge.com

Francesco Bertini

AvioAero, Torino, Italy
francesco.bertini@avioaero.it

1Corresponding author.

ASME doi:10.1115/1.4042164 History: Received September 19, 2018; Revised November 29, 2018

Abstract

The present paper describes the application of Proper Orthogonal Decomposition (POD) to Large Eddy Simulation of the T106A low-pressure-turbine profile with unsteady incoming wakes at two different flow conditions. Conventional data analysis applied to time or phase averaged flow fields is not always able to identify the different sources of losses in the unsteady flow field as they are able to isolate only the deterministic contribution. A newly developed procedure allows the identification of the unsteady loss contribution due to the migration of the incoming wakes, and the construction of reduced order models able to highlight unsteady losses due to larger and smaller flow structures carried by the wakes in the different parts of the blade boundary layers. This enables a designer to identify the dominant phenomena responsible for loss, their generation mechanism and spatial location. The procedure shows that losses in the fore part of the blade suction side are unaffected by the flow unsteadiness, irrespective of the inlet condition. In the rear part of the suction side the unsteadiness contributes to losses prevalently due to the finer scale embedded into the bulk of the incoming wake. The main difference between the two cases has been identified by the losses produced in the core flow region, where both the largest scale structures and the finer ones produces turbulence. The decomposition into POD modes allows the quantification of the extra losses generated in the core flow region, providing further inputs to the designers for future optimization strategies.

Copyright (c) 2018 by ASME
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