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Aero-validation of CFD methods for turbine rear structures using experimental data

Aero-validation of CFD methods for turbine rear structures using experimental data
Aero-validation of CFD methods for turbine rear structures using experimental data
Secondary flow effects in an axial turbine are highly complex and have a significant impact on the performance of an aircraft engine. Understanding the flow in the engine is essential to improve the design and increase engine efficiency. In order to increase understanding of the aerodynamics in a Turbine Rear Structure (TRS) tests are conducted at experimental facilities. The resulting test data provides valuable input in improving the prediction tools used in the design of the TRS. The aim of this study is to use computational fluid dynamics (CFD) simulations to increase the understanding of differences between prediction method results and experimental data. The CFD predictions are compared to test data from a turbine test facility capable of reproducing realistic engine conditions. The same operating conditions as in the test facility are used on the same geometry to produce the numerical results. Comparisons of blade loading, swirl angle and total pressure profiles are made for design and off-design conditions using different turbulence models. For some cases, a heat transfer investigation is also conducted. The results show how steady state simulations can be used to reproduce a close approximation of the experimental measurements for both design and off-design conditions.
Nilsson, Mattias
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Nilsson, Mattias
fe915e3b-a03b-47ca-b3ae-4251c849f1b0
Deshpande, Srikanth
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Davidsson, Lars
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Nilsson, Mattias (2019) Aero-validation of CFD methods for turbine rear structures using experimental data. Chalmers University of Technology, Masters Thesis, 88pp.

Record type: Thesis (Masters)

Abstract

Secondary flow effects in an axial turbine are highly complex and have a significant impact on the performance of an aircraft engine. Understanding the flow in the engine is essential to improve the design and increase engine efficiency. In order to increase understanding of the aerodynamics in a Turbine Rear Structure (TRS) tests are conducted at experimental facilities. The resulting test data provides valuable input in improving the prediction tools used in the design of the TRS. The aim of this study is to use computational fluid dynamics (CFD) simulations to increase the understanding of differences between prediction method results and experimental data. The CFD predictions are compared to test data from a turbine test facility capable of reproducing realistic engine conditions. The same operating conditions as in the test facility are used on the same geometry to produce the numerical results. Comparisons of blade loading, swirl angle and total pressure profiles are made for design and off-design conditions using different turbulence models. For some cases, a heat transfer investigation is also conducted. The results show how steady state simulations can be used to reproduce a close approximation of the experimental measurements for both design and off-design conditions.

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More information

Published date: 2019

Identifiers

Local EPrints ID: 453025
URI: http://eprints.soton.ac.uk/id/eprint/453025
PURE UUID: 78be258d-24b0-4e8a-a742-2a5872d0bd8d
ORCID for Mattias Nilsson: ORCID iD orcid.org/0000-0002-2071-1075

Catalogue record

Date deposited: 07 Jan 2022 17:38
Last modified: 17 Mar 2024 03:59

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Contributors

Author: Mattias Nilsson ORCID iD
Thesis advisor: Srikanth Deshpande
Thesis advisor: Lars Davidsson

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