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.
Stroboscopic Neutron and X-ray mapping of strain fields in dynamically loaded engineering components
Abstract: Bearings are essential components in many types of machinery, working to reduce energy losses. Over the last century improved analytical models were developed for predicting the operational lifetime of bearings, but still result in underestimated lifetimes. In the gearbox of a wind turbine, these premature bearing failures will happen with limited warning, causing significant periods of time when the turbine is non-operational. A testing rig has been designed to recreate conditions experienced by these gearbox bearings, whilst allowing for strain measurements using X-rays and neutron diffraction techniques. By collecting data specifically when the cycling stresses in the bearing raceway are at a maximum, it is possible to study the evolution of strain in the lead up to failure. The results will provide crucial information for developing commercial monitoring techniques used in industry
Principal Investigator: Dr Mahmoud Mostafavi
Experimenter: Mr Ian Efremov [Deactivated]
Experimenter: Mr Sam Oliver
Experimenter: Dr Ranggi Ramadhan
Experimenter: Dr Anthony Reid
Experimenter: Dr Saurabh Kabra
Experimenter: Dr Thomas Connolley
DOI: 10.5286/ISIS.E.RB1720153
ISIS Experiment Number: RB1720153
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.90585051 | ENGINX | 23 March 2021 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
The recommended format for citing this dataset in a research
publication is as:
[author], [date], [title], [publisher],
[doi]
For Example:
Dr Mahmoud Mostafavi et al; (2018): Stroboscopic Neutron and X-ray mapping of strain fields in dynamically loaded engineering components, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720153
Data is released under the CC-BY-4.0 license.