Logo
User: Guest  Login
Creator 1:
Fischer, Lukas 
Institution Creator 1:
Universität der Bundeswehr München 
Creator 2:
Pfitzner, Michael 
Institution Creator 2:
Universität der Bundeswehr München 
Title:
Providing adjoint optimized GEKO model coefficients for film cooling predictions of trench designs 
Year:
2023 
Keywords:
Computational Fluid Dynamics ; Turbulence ; Computational Heat Transfer ; Neural Network 
Date of public availability:
23.02.2023 
Language:
Englisch / English 
Resource type:
Dataset 
Resource (Title):
Providing adjoint optimized GEKO model coefficients for film cooling predictions of trench designs 
File size:
57 KB 
Version:
Licence:
CC BY 4.0 
Abstract:
The data represent coefficients for the Generalized k-omega (GEKO) turbulence model used to solve the Reynolds-averaged Navier-Stokes equations (RANS) of wall-bounded film cooling flows involving the trench design. This model, with these coefficients, can be applied in Computational Fluid Dynamics (CFD) simulations using the commercial solver Ansys Fluent (version 2022 R1 or higher). The coefficients were tuned to match the 3D temperature field (temporal-averaged) of a Large Eddy Simulation (LES...    »
 
Other:
Auf Mendeley Data veröffentlicht 
Department:
Fakultät für Luft- und Raumfahrttechnik 
Institute:
LRT 10 - Institut für Thermodynamik 
Chair:
Pfitzner, Michael