Non-Destructive Detection of In-Service Corrosion on Gas Turbine Components
Lead Research Organisation:
University of Bristol
Department Name: Physics
Abstract
The service lives of the components in a gas turbine engine are usually limited by the components' damage tolerant life. However, for some turbine blades, hot corrosion and corrosion fatigue may make continued service untenable before the expiration of this life. The absence of industrialised non-destructive hot corrosion and corrosion fatigue detection techniques mean that some turbine blades are automatically removed from service at fixed intervals to mitigate the potentially-catastrophic impact of various corrosion mechanisms, even if substantial nominal damage tolerant life remains.
This research will target understanding the corrosion mechanisms that may affect gas turbine engine components and the corresponding non-destructive detection techniques that may be used to improve the service life management of these components.
This research will target understanding the corrosion mechanisms that may affect gas turbine engine components and the corresponding non-destructive detection techniques that may be used to improve the service life management of these components.
People |
ORCID iD |
| John Day (Primary Supervisor) | |
| Astrid Blee (Student) |
Studentship Projects
| Project Reference | Relationship | Related To | Start | End | Student Name |
|---|---|---|---|---|---|
| EP/R511857/1 | 01/10/2017 | 31/12/2022 | |||
| 1952978 | Studentship | EP/R511857/1 | 01/10/2017 | 30/09/2021 | Astrid Blee |
| Description | As part of this award, a novel method of analysing multivariate data has been invented (patent expected to be filed March 2020). Further details will be released and published in due course once the patent filing is complete. The algorithm proposed involves the production of physically realistic results (now referred to as components) and derived physical relationships between the appearance of those components on a sample surface. In particular, when applied to Raman mapping data, the components are physically realistic spectra. The physical links are an inherent advantage over current methods, allowing relationships between compounds to be recorded and rigorously analysed. |
| Exploitation Route | This algorithm could be used for any data analysis requiring the analysis of multivariate data. In the current iteration, it has been used to analyse Raman spectroscopy data, but this is not the only form of data which could benefit from enhanced analysis. |
| Sectors | Aerospace, Defence and Marine,Chemicals,Pharmaceuticals and Medical Biotechnology |
| Description | STEM for Britain Poster Competition (London, UK) |
| Form Of Engagement Activity | A talk or presentation |
| Part Of Official Scheme? | No |
| Geographic Reach | National |
| Primary Audience | Policymakers/politicians |
| Results and Impact | I presented a poster at the STEM for Britain competition 2019, which aims to present and discuss research to Members of both Houses of Parliament at Westminster, and to encourage interactions between all researchers present. |
| Year(s) Of Engagement Activity | 2019 |
| URL | http://www.setforbritain.org.uk/index.asp |