| Issue |
MATEC Web Conf.
Volume 165, 2018
12th International Fatigue Congress (FATIGUE 2018)
|
|
|---|---|---|
| Article Number | 22016 | |
| Number of page(s) | 8 | |
| Section | Posters | |
| DOI | https://doi.org/10.1051/matecconf/201816522016 | |
| Published online | 25 May 2018 | |
Thermo-mechanical fatigue prediction of a steam turbine shaft
1
Czech Technical University in Prague, Faculty of Mechanical Engineering, Technická 4, 166 07 Prague 6, Czech Republic
2
Doosan Škoda Power s.r.o., Tylova 1/57, 301 28 Plzeň, Czech Republic
3
COMTES FHT a.s., Průmyslová 995, 334 41 Dobřany, Czech Republic
* Corresponding author: martin.nesladek@fs.cvut.cz
The increasing demands on the flexibility of steam turbines due to the use of renewable energy sources substantially alters the fatigue strength requirements of components of these devices. This paper presents Thermo-Mechanical Fatigue (TMF) design calculations for the steam turbine shaft. The steam turbine shaft is exposed to complex thermo-mechanical loading conditions during the operating cycle of the turbine. An elastic-plastic structural Finite Element Analysis (FEA) of the turbine shaft is performed for the turbine operating cycle on the basis of calculated temperature fields obtained in a previous transient thermal FEA. The temperature dependent material parameters, which are used in the elastic-plastic FEA, are obtained from the uniaxial tests. Consequently, the TMF is predicted for the steam turbine shaft. Several fatigue criteria are used for the identifications of the critical domain and for the TMF damage assessment of the turbine shaft.
© The Authors, published by EDP Sciences, 2018
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. (http://creativecommons.org/licenses/by/4.0/).
Current usage metrics show cumulative count of Article Views (full-text article views including HTML views, PDF and ePub downloads, according to the available data) and Abstracts Views on Vision4Press platform.
Data correspond to usage on the plateform after 2015. The current usage metrics is available 48-96 hours after online publication and is updated daily on week days.
Initial download of the metrics may take a while.