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Content Provider | The American Society of Mechanical Engineers (ASME) Digital Collection |
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Author | Voigt, Paul Högner, Lars Fiedler, Barbara Voigt, Matthias Mailach, Ronald Meyer, Marcus Nasuf, Alkin |
Copyright Year | 2018 |
Abstract | The increasing demands on jet engines require progressive thermodynamic process parameters, which typically lead to higher aerothermal loadings and accordingly to designs with high complexity. State of the art high pressure turbine (HPT) nozzle guide vane (NGV) design involves vane profiles with three-dimensional features including a high amount of film cooling and profiled endwalls (PEW). Typically, the specific massflow, also called capacity, which governs the engine’s operation, is set by the HPT NGV. Hence, geometric variations due to manufacturing scatter of the HPT NGV’s passage can affect relevant aerodynamic quantities and the entire engine behavior. Within the traditional deterministic design approach, the influences of those geometric variations are covered by conservative assumptions and engineering experience. This paper addresses the consideration of variability due to manufacturing of HPT NGVs through probabilistic CFD investigations. In order to establish a statistical database, 80 HPT NGVs are digitized with a high precision optical 3D scanning system to record the outer geometry. The vane profiles are parametrized by a section based approach. For this purpose, traditional profile theory is combined with a novel method that enables the description of NGV profile variability taking the particular leading edge (LE) shape into account. Furthermore, the geometric variability of PEWs is incorporated by means of principle component analysis (PCA). On this basis, a probabilistic system assessment including a sensitivity analysis in terms of capacity and total pressure loss coefficient is realized. Sampling-based methods are applied in order to conduct a variety of 3D CFD simulations for a typical population of profile and endwall geometries. This probabilistic investigation using realistic input parameter distributions and correlations contributes to a robust NGV design in terms of relevant aerodynamic quantities. |
Sponsorship | International Gas Turbine Institute |
File Format | |
ISBN | 9780791851029 |
DOI | 10.1115/GT2018-76723 |
Volume Number | Volume 2D: Turbomachinery |
Conference Proceedings | ASME Turbo Expo 2018: Turbomachinery Technical Conference and Exposition |
Language | English |
Publisher Date | 2018-06-11 |
Publisher Place | Oslo, Norway |
Access Restriction | Subscribed |
Subject Keyword | Sensitivity analysis Computational fluid dynamics Thermodynamic processes Pressure Engines Jet engines Design Geometry High pressure (physics) Databases Simulation Electromagnetic scattering Nozzle guide vanes Manufacturing Engineering simulation Film cooling Shapes Turbines |
Content Type | Text |
Resource Type | Article |
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