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A Semi-Empirical Model for Conceptual Turbine Vane Cooling Design and Optimization

Schöffler, Robin and Grunwitz, Clemens and Brakmann, Robin (2023) A Semi-Empirical Model for Conceptual Turbine Vane Cooling Design and Optimization. In: ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023. Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, 2023-06-26 - 2023-06-30, Boston, Massachusetts, USA. doi: 10.1115/GT2023-103061. ISBN 978-0-7918-8701-1.

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Official URL: https://asmedigitalcollection.asme.org/GT/proceedings-abstract/GT2023/87011/V07BT13A013/1168133

Abstract

Efficient turbine vane cooling designs are increasingly important to improve the thermal efficiency of gas turbines. Evaluating the performance of a cooling design requires the knowledge of the temperature distribution on the vane surface and the cooling air mass flow rate. The estimation of the vane temperature distribution is considered as a conjugate heat transfer problem, which usually requires a computationally intensive 3D CFD-FEM simulation. However, this approach is not suited for an early design phase, when the cooling design frequently changes. A simplified, yet physical approach is necessary to develop an initial cooling design, which can be used as a baseline for more detailed investigations. This paper presents a predictive model for turbine vane cooling and its integration into an optimization tool chain. The model uses a vane geometry model, the aerodynamic flow field and the coolant conditions from an in-house turbine design tool chain. The cooling geometry is divided into multiple interior sections with their own parameterizations, characterizing the cooling method and its geometric representation. Internal cooling, such as impingement or convective cooling, as well as external cooling, namely film cooling, is considered. Taking the material properties of the vane into account, the model calculates the temperature distribution on the vane surface and the coolant mass flow rate to identify critical hot spots and to evaluate a cooling concept. The capabilities of the model are demonstrated in an optimization process to improve the cooling design of a modern high pressure nozzle guide vane. Compared to a manually created cooling concept, the coolant mass flow rate was reduced by more than 20 \% while simultaneously a more uniform metal temperature was achieved.

Item URL in elib:https://elib.dlr.de/198224/
Document Type:Conference or Workshop Item (Speech)
Title:A Semi-Empirical Model for Conceptual Turbine Vane Cooling Design and Optimization
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iDORCID Put Code
Schöffler, RobinUNSPECIFIEDhttps://orcid.org/0000-0002-0931-9021147624589
Grunwitz, ClemensUNSPECIFIEDhttps://orcid.org/0000-0003-4157-7415UNSPECIFIED
Brakmann, RobinUNSPECIFIEDhttps://orcid.org/0000-0003-3598-0742UNSPECIFIED
Date:28 September 2023
Journal or Publication Title:ASME Turbo Expo 2023: Turbomachinery Technical Conference and Exposition, GT 2023
Refereed publication:Yes
Open Access:No
Gold Open Access:No
In SCOPUS:Yes
In ISI Web of Science:No
DOI:10.1115/GT2023-103061
ISBN:978-0-7918-8701-1
Status:Published
Keywords:Jet Engine; Turbine; Cooling; Optimization
Event Title:Turbo Expo 2023: Turbomachinery Technical Conference and Exposition
Event Location:Boston, Massachusetts, USA
Event Type:international Conference
Event Start Date:26 June 2023
Event End Date:30 June 2023
Organizer:The American Society of Mechanical Engineers
HGF - Research field:Aeronautics, Space and Transport
HGF - Program:Aeronautics
HGF - Program Themes:Clean Propulsion
DLR - Research area:Aeronautics
DLR - Program:L CP - Clean Propulsion
DLR - Research theme (Project):L - Components and Emissions, L - Future Engines and Engine Integration
Location: Göttingen
Institutes and Institutions:Institute of Propulsion Technology > Turbine
Deposited By: Schöffler, Robin
Deposited On:28 Nov 2023 13:22
Last Modified:24 Apr 2024 20:58

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