ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Neutron diffraction residual stress analysis of thermal sprayed thick coatings for hardfacing applications

Abstract: In the current transition towards NewZero 2050, the current fossil fuel-based power plants are being used with higher flexibility due to the intermittent nature of wind and solar renewable energy sources, posing components to excessive stress causing failures and downtime. We have developed a new Stellite 6 coating for power plant boilers that is exceptionally thick (1 mm) for the technique it has been produced with (thermal spray). Therefore, we propose to investigate the through-thickness residual stress profile of this coating, to better understand its relation with microhardness and role in early failure, potentially enhancing components lifetime and contributing to enable the transition to NetZero. Engin-X and the resolution and accuracy of neutron scattering will yield the high-quality data that can enable our research.

Experimenter: Dr Tung Lik Lee
Experimenter: Professor Tanvir Hussain
Experimenter: Dr Federico Venturi
Experimenter: Miss Irim Fiaz
Experimenter: Dr Halar Memon
Local Contact: Dr Joe Kelleher

DOI: 10.5286/ISIS.E.RB2310610

ISIS Experiment Number: RB2310610

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.RB2310610-1 ENGINX 30 September 2026 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Tung Lik Lee et al; (2023): Neutron diffraction residual stress analysis of thermal sprayed thick coatings for hardfacing applications, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB2310610

Data is released under the CC-BY-4.0 license.



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