| Issue |
MATEC Web Conf.
Volume 393, 2024
2nd International Conference on Sustainable Technologies and Advances in Automation, Aerospace and Robotics (STAAAR-2023)
|
|
|---|---|---|
| Article Number | 02004 | |
| Number of page(s) | 7 | |
| Section | Design, Development, and Optimization | |
| DOI | https://doi.org/10.1051/matecconf/202439302004 | |
| Published online | 13 March 2024 | |
Modelling and Analysis on the Fatigue Life of Gas Turbine Compressor Disc
1 Dept. of Mechanical Engineering, NIT Silchar, Assam. 788010, India
2 Dept. of Mechanical Engineering, Vardhaman College of Engineering, Hyderabad 501218, India
* Corresponding author: vijay.mahakur0709@gmail.com
The disc itself revolves at an extremely rapid pace, putting a lot of strain on the turbine compressor disc. This exceptionally stressed part provides an impact on a particular location such as a bore, bolt hole, slot, or fillet. The bore area of the disc is an especially crucial zone, since any failure there would result in an unprecedented breakdown of the entire turbine. So in this study, the finite-element approach is employed to offer a numerical estimate of the lifespan of a gas turbine prototype disc. Engine start-up and shutdown, as well as significant throttle fluctuations during operation, can cause cyclic tensile stresses in this area. These cyclic tensile stresses will surpass the component's yield strength and may potentially induce low cycle fatigue failure. As a result, there is a need to improve the fatigue and fracture lifetime of the bore area in order to meet the expanding design life requirements.
© The Authors, published by EDP Sciences, 2024
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.
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.