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pro vyhledávání: '"William N. Dawes"'
With the imminent digitalisation of the manufacturing processes of gas turbine components, a large volume of geometric data of as-manufactured parts is being generated. This geometric data can be used in aerodynamic simulations to predict component p
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f719e039c3c19623f7f2fc85748aead9
https://doi.org/10.33737/jgpps/132007
https://doi.org/10.33737/jgpps/132007
Publikováno v:
AIAA SCITECH 2023 Forum.
Autor:
William N. Dawes
Publikováno v:
AIAA SCITECH 2023 Forum.
Publikováno v:
Volume 2D: Turbomachinery.
Casting deviations introduce geometric variability that impacts the aerodynamic performance of turbomachinery. These effects are studied for a High Pressure Turbine (HPT) rotor blade from a modern aero-engine. 197 blades were measured using three-dim
Publikováno v:
AIAA Scitech 2019 Forum.
This paper examines the impact of measured manufacturing variability on the three-dimensional aerodynamic performance of a high-pressure turbine (HPT) rotor. Blade geometries were measured at the end of a modern aviation gas turbine manufacturing lin
Publikováno v:
AIAA Scitech 2019 Forum.
Publikováno v:
2018 AIAA Aerospace Sciences Meeting.
This paper examines the impact of measured manufacturing variability on the aerodynamic performance of a High Pressure Turbine (HPT) rotor blade. Emphasis is placed on building an aerodynamic analysis framework to understand the mechanisms that drive
Autor:
Tamas Racz, Will Kellar, Andrey Kudryavtsev, Nabil Meah, John Verdicchio, Lu Yi, William N. Dawes, Kai Liu, Carlos Vasco
Publikováno v:
2018 AIAA Aerospace Sciences Meeting.
Publikováno v:
55th AIAA Aerospace Sciences Meeting.
© 2017 by W.N. Dawes, Yi Lu and Kai Liu. For several years we have been developing a fast, high fidelity, high order Large Eddy Simulation system targeted at cheap, commodity, small scale, many-core computing clusters. Our objective is to deliver ef
Publikováno v:
Volume 2D: Turbomachinery.
The overall aim of our research is to enable overnight high fidelity LES for realistic industry problems on affordable computing resource. We have adopted a “3E” approach: high spatial discretization Efficiency on general unstructured meshes, hig