Issue |
E3S Web Conf.
Volume 197, 2020
75th National ATI Congress – #7 Clean Energy for all (ATI 2020)
|
|
---|---|---|
Article Number | 10012 | |
Number of page(s) | 16 | |
Section | Heat Transfer and Fluid Dynamics | |
DOI | https://doi.org/10.1051/e3sconf/202019710012 | |
Published online | 22 October 2020 |
Transient 2D FEM-fluid network coupling for thermo-mechanical whole gas turbine engine simulations: modelling features and applications
1
Dept. of Industrial Engineering, University of Florence, Via di Santa Marta 3, 50139, Florence, Italy
2
Ansaldo Energia, Via Nicola Lorenzi 8, 16152, Genoa, Italy
3
Ansaldo Energia Switzerland, Römerstrasse 36, 5400, Baden, Switzerland
* Corresponding author: sabrina.giuntini@htc.unifi.it
In order to control the thermo-mechanical stresses that large heavy-duty power generation turbines have to face nowadays in their frequent operational transients, the analysis of the heat transfer between main flow, secondary air systems and structural components has to consider multi-physics coupled interactions, and has to be carried out with a whole engine modelling approach, simulating the entire machine in the real operating conditions. This is fundamental to guarantee a reliable assessment of life timing consumption and optimize clearances and temperature picks, through an efficient secondary air system design. It is here proposed a comprehensive description of modelling features and assumptions needed for the transient thermo-mechanical characterization of the whole engine through the application of a FEM-fluid network coupling methodology developed in collaboration with Ansaldo Energia and based on the open source code CalculiX®. In the present work the transient thermal modelling capability of the procedure will be verified through its application to a real whole engine geometry under a realistic transient cycle, comparing results with those of a reference FEM code.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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